The clinical value of virtual monoenergetic imaging and bone metal artifact reduction algorithm in the reduction of metal artifacts caused by lumbar implants / 实用放射学杂志

Objective To evaluate the value of high-energetic virtual monoenergetic imaging(MonoE),bone metal artifact reduction(O-MAR),and their combination based on dual-layer detector spectral computed tomography(DLCT)in removing the artifacts caused by lumbar metal implants.Methods Patients who undergone lumbar implant surgery and performed lumbar examination on DLCT after surgery were prospectively selected.MonoE from 100 to 200 keV with an interval of 20 keV were reconstructed.O-MAR and O-MAR combined with MonoE(O-MAR+MonoE)images were also reconstructed.The differences of objective and subjective image quality among the images were compared.Results There were 45 patients included in the study.With the increasing of keV of MonoE,the attenuation of the tissue with low-and high-density artifact on MonoE and O-MAR+MonoE was increased and decreased,respectively.140 keV MonoE was the best sequence for the artifact reduction and the display of soft tissue.200 keV MonoE and its combination with O-MAR showed the best performance in the display of the interface of metal and bone.However,O-MAR+200 keV MonoE had the lowest noise.Conclusion Compared to O-MAR and O-MAR combined with MonoE,high-energetic MonoE shows a good value in the reduction of metal artifacts caused by the lumbar metal implants.

The value of spectral CT combined with metal artifact reduction algorithms in improving the CT image quality for patients with 125I seeds implantation in the chest and abdomen / 中华放射学杂志

Objective:To investigate the value of the virtual monoenergetic image (VMI) obtained by a new dual-layer detector spectral CT combined with metal artifact reduction algorithms(O-MAR) in reduction of different types of artifacts caused by 125I seeds implantation and in improvement of the post-operative CT image quality. Methods:This was a cross-sectional study. Thirty-five patients who underwent dual-layer detector spectral CT scanning of the chest and abdomen after 125I seeds implantation were retrospectively included at the First Affiliated Hospital of Zhengzhou University from March to September 2022. The spectral data were collected and reconstructed into conventional CT image (CI), VMI image (50-150 keV, 20 keV/level), CI+O-MAR image, and VMI+O-MAR image (50-150 keV, 20 keV/level). The artifacts′ removal effects and image quality improvement in each group were evaluated. Two slices with the strongest artifacts were selected for analysis for each patient, resulting in a total of 70 slices. Objective indicators including artifact index (AI), signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of soft tissue regions affected by artifacts were measured and calculated. Subjective indicators including the overcorrected artifacts and new artifacts, the different forms of artifacts, the diagnosis of artifacts, and the image quality were assessed. One-way analysis of variance was used for comparisons among multiple groups. Paired t test was used to compare the quantitative indicators between the combined O-MAR group and the non-O-MAR group. Kappa statistics was used to evaluate the consistency between observers. Results:In high/low-density artifacts (ROI H/L), the AI values in all groups showed decrease with increasing VMI keV. In artifact-affected tissue (ROI T), SNR of the CI/VMI (70-150 keV)+O-MAR group were significantly higher than those of the CI/VMI group ( P<0.05), CNR of the CI/VMI(50-150 keV)+O-MAR group were significantly higher than those of the CI/VMI group ( P<0.05). Both overcorrection and new artifacts mainly presented in VMI 50 keV and VMI 70 keV groups; Compared with VMI (50-70 keV) group, significantly less numbers of overcorrection and new artifacts were found in VMI (50-70 keV)+O-MAR group ( P<0.05); regarding the comparison of artifact types, with the VMI keV increasing, the number of a-type banded artifacts gradually decreased on images with high-density artifacts, reaching a minimum of 3 in the VMI 150 keV+O-MAR group; while the number of e-type artifacts with little or no artifacts increased, with the highest number of 23 in the VMI 150 keV+O-MAR group. The total number of high-density artifacts in each type decreased with increasing VMI keV. As VMI keV increased, the diagnostic and image quality scores of high-density artifacts in each group were significantly higher than those of low-density artifacts in the VMI+O-MAR group ( P<0.05). Conclusions:VMI combined with O-MAR can significantly improve the objective and subjective image quality of follow-up CT imaging after 125I seed implantation, enhancing lesion visibility and diagnostic confidence. Additionally, VMI+O-MAR showed more pronounced correction effect on high-density artifacts.

Research progress on the clinical diagnosis of secondary vertical root fractures / 口腔疾病防治

@#Vertical root fracture is a type of longitudinal crack originating from the roots of teeth that can occur in vital teeth and teeth after root canal treatment. It is a hard tissue disease of teeth with a complex etiology and poor prognosis. The vertical root fracture that occurs in teeth after pulp treatment is called secondary vertical root fracture (SVRF). A comprehensive judgment should be made based on clinical signs such as pain, swelling, tooth looseness, sinus located near the gum edge, and deep and narrow isolated periodontal pockets, as well as apical films such as periodontal membrane widening, vertical and root bone loss, and “halo” or “J” shaped transmission shadows around the root. For teeth suspected of longitudinal root fractures, three-dimensional imaging such as cone beam computed tomography (CBCT) should be used to assist in the diagnosis. If CBCT shows a defect in the buccal or lingual bone plate, it can increase the possibility of diagnosing SVRF. The setting of CBCT parameters should be optimized by using small field CBCT, enhancing dye-assisted applications, and metal artifact reduction (MAR) tools to reduce the impact of artifacts and improve the accuracy of CBCT diagnosis of SVRF. Magnetic resonance imaging (MRI), digital subtraction radiography (DSR), optical coherence tomography (OCT), and other imaging techniques can detect cracks of different widths, and artificial intelligence (AI) diagnostic technology and predictive models provide further auxiliary means for SVRF diagnosis. SVRF cannot be determined through noninvasive methods, and the final diagnostic method is to detect the presence of SVRF through direct observation within the root canal and during flap surgery.

Effect of dental distance from implant and MAR algorithm on the detection of vertical root fracture in CBCT images

Three-dimensional cone-beam computed tomography (CBCT) has an important role in the detection of vertical root fractures (VRFs). The effect of artifact generation by high-density objects like dental implants on image quality was well documented. This study aimed to assess the effect of tooth-implant distance and the application of metal artifact reduction (MAR) algorithm on the detection of VRFs on CBCT scans. This study was conducted on 20 endodontically treated single-rooted teeth. VRFs were induced in 10 teeth, while the other 10 remained intact. The implant was inserted in the right second premolar socket area, and two teeth were inserted in right canine and right first premolar sockets area randomly and underwent CBCT with and without the application of MAR algorithm. SPSS 21 was used to analyze the results (alpha=0.05). According to the findings of this study, all four variables of sensitivity, specificity, accuracy, and positive predictive values in diagnosis were higher in cases without MAR software at both close(roots in first premolar sockets) and far distances (roots in canine sockets) from the implant. However, the highest rate of diagnosis accuracy of the first and second radiologists was in the far distance group from the implant without MAR, and the lowest rate of diagnosis accuracy in the first and second radiologists was in the close distance to the implant. Applying MAR algorithm had no positive effect on detection of VRFs on CBCT scans in both close and distant scenarios.

La tomografía computarizada de haz cónico tridimensional (CBCT) tiene un papel importante en la detección de fracturas radiculares verticales (VRF). El efecto de la generación de artefactos por objetos de alta densidad como los implantes dentales en la calidad de la imagen está bien documentado. Este estudio tuvo como objetivo evaluar el efecto de la distancia entre el diente y el implante y la aplicación del algoritmo de reducción de artefactos metálicos (MAR) en la detección de VRF en escaneos CBCT. Este estudio se realizó en 20 dientes uniradiculares tratados endodónticamente. Se indujeron VRF en 10 dientes, mientras que los otros 10 permanecieron intactos. El implante se insertó en el área del alveolo del segundo premolar derecho, y dos dientes se insertaron en el canino derecho y en el área del alvéolo del primer premolar derecho al azar y se sometieron a CBCT con y sin la aplicación del algoritmo MAR. Se utilizó SPSS 21 para analizar los resultados (alfa=0,05). De acuerdo con los hallazgos de este estudio, las cuatro variables de sensibilidad, especificidad, precisión y valores predictivos positivos en el diagnóstico fueron más altas en los casos sin el software MAR tanto en distancias cercanas (raíces en las cavidades de los primeros premolares) como lejanas (raíces en las cavidades de los caninos) del implante. Sin embargo, la tasa más alta de precisión diagnóstica del primer y segundo radiólogo fue en el grupo de mayor distancia al implante sin MAR, y la tasa más baja de precisión diagnóstica en el primer y segundo radiólogo fue en la distancia cercana al implante. La aplicación del algoritmo MAR no tuvo un efecto positivo en la detección de VRF en escaneos CBCT en escenarios cercanos y distantes.

The clinical value of spectral CT combined with orthopedic metal artifact reduction technology in reducing artifacts from contrast media in enhanced chest CT of breast cancer patients / 中华放射学杂志

Objective:To access the efficacy of monoenergetic imaging from spectral CT combined with metal artifact reduction for orthopedic implants (O-MAR) on reducing contrast hardening artifacts in the vein on the injection side, and determining the optimal monoenergetic spectral range to improve the display of axillary lymph node.Methods:A total of 35 patients with breast cancer who underwent chest-enhanced CT scans were enrolled in this retrospective study. The original data were reconstructed to obtain a total of 35 sets of images, including one conventional image, 17 groups of monoenergetic images, and 17 groups of monoenergetic+O-MAR images. The areas of interest were delineated in the high and low-density artifact area on the injection side of the same layer contrast agent, and the contralateral ectopectoralis. The CT value and its standard deviation (SD) were recorded respectively, the artifact area was measured, and the number of axillary lymph nodes was recorded. The difference in CT values (ΔCT 1, ΔCT 2) and the artifact index (AI1 and AI 2) of the high and low-density artifact areas relative to the contralateral ectopectoralis in the same layer were calculated respectively. Friedman test and Wilcoxon signed-rank test were used to compare the differences of ΔCT, AI, artifact area, and number of lymph nodes among the three imaging modalities, and the Kappa test was used to compare the differences in subjective evaluation. Results:As the energy level increased, compared to the conventional image, monoenergetic image, ΔCT 1 absolute value, ΔCT 2 absolute value, AI 1, and AI 2 showed a trend of initially low and then high, artifact area decreased, and the number of detected lymph nodes increased ( P<0.01). Compared to other energy levels, when the monoenergetic image was 100 keV, ΔCT 1 value, 140 keV for ΔCT 2 value, 120 keV for AI 1 value, and 130 keV for AI 2 value were close to zero, and the number of detected lymph nodes was highest at 110-200 keV. In contrast, in the monoenergetic+O-MAR images, ΔCT 1 absolute value showed a trend of initially low and then high, but, ΔCT 2 absolute value, AI 1, AI 2, and artifact area all significantly decreased, whereas the number of detected lymph nodes significantly increased (χ 2 values were 916.23, 895.93, 387.08, 519.41, 890.10, and 1027.98, respectively. All P<0.01). Compared to other energy levels, when the monoenergetic+O-MAR image was at 100 keV, ΔCT 1 value was close to zero, while ΔCT 2 value became close to zero with increasing energy level, and the number of detected lymph nodes was highest at 110-200 keV. As the energy level increased, the ΔCT 1, AI 1, AI 2, and artifact area of monoenergetic+O-MAR images were significantly smaller than those of monoenergetic images at the same energy level, and the number of detected lymph nodes was significantly higher than that of monoenergetic images ( P<0.01). The subjective scores for 110-200 keV monoenergetic images and 100-200 keV monoenergetic+O-MAR images were both higher than 4, and the score for monoenergetic+O-MAR images was significantly higher than that of single-energy spectrum images. The agreement between the two radiologists in assessing subjective scores was good. Conclusion:At 100-120 keV level, spectral CT monoenergetic combined with O-MAR imaging technique has the best performance in removing hardening-induced artifacts of chest-enhanced CT contrast agent and detecting and displaying axillary lymph nodes.

Laplace-Based Interpolation Method in Reduction of Metal Artifact in Computed Tomography Imaging

@#Introduction: Metal artifacts can degrade the image quality of computed tomography (CT) images which lead to errors in diagnosis. This study aims to evaluate the performance of Laplace interpolation (LI) method for metal artifacts reduction (MAR) in CT images in comparison with cubic spline (CS) interpolation. Methods: In this study, the proposed MAR algorithm was developed using MATLAB platform. Firstly, the virtual sinogram was acquired from CT image using Radon transform function. Then, dual-adaptive thresholding detected and segmented the metal part within the CT sinogram. Performance of the two interpolation methods to replace the missing part of segmented sinogram were evaluated. The interpolated sinogram was reconstructed, prior to image fusion to obtain the final corrected image. The qualitative and quantitative evaluations were performed on the corrected CT images (both phantom and clinical images) to evaluate the effectiveness of the proposed MAR technique. Results: From the findings, LI method had successfully replaced the missing data on both simple and complex thresholded sinogram as compared to CS method (p-value = 0.17). The artifact index was significantly reduced by LI method (p-value = 0.02). For qualitative analysis, the mean scores by radiologists for LI-corrected images were higher than original image and CS-corrected images. Conclusion: In conclusion, LI method for MAR produced better results as compared to CS interpolation method, as it worked more effective by successfully interpolated all the missing data within sinogram in most of the CT images.

Application of isotropic MAVRIC-SL sequence in metal artifact reduction after lateral lumbar interbody fusion / 中华放射学杂志

Objective:To compare the quality and diagnostic utility of the three sequences including fast spin echo (FSE), multi-acquisition variable resonance image combination selective (MAVRIC-SL), and isotropic MAVRIC-SL (iso MAVRIC-SL), in evaluating the intervertebral foramen and spinal canal in patients after lateral lumbar interbody fusion (LLIF).Methods:Totally 30 patients after LLIF were enrolled prospectively from May to June 2020 in the Second Hospital of Shanxi Medical University. The patients underwent MRI of the lumbar spine including sagittal MAVRIC-SL and iso MAVRIC-SL sequence three-dimensional volume imaging, and the axial spinal canal level images were reconstructed. FSE sequence sagittal T 1WI and axial T 2WI images were acquired simultaneously. The sagittal and axial images were subjectively graded for visualization of the intervertebral foramen and spinal canal. The artifact area and SNR were measured. The Friedman M test was used to compare the differences in image quality scores, artifact area and SNR among the three sequences. Results:Nonparametric test results showed significant differences in sagittal and axial image quality scores among the three sequences (both P<0.001). Sagittal image quality scores of MAVRIC-SL [4 (4, 4) points] and iso MAVRIC-SL [4 (4, 4) points] were higher than those of FSE T 1WI sequence [3 (3, 3) points, both P<0.001]. The quality scores of MAVRIC-SL and iso MAVRIC-SL showed no significant differences ( P=1.000). The axial image quality score of iso MAVRIC-SL[5 (5, 5) points] were higher than those of MAVRIC-SL [4 (4, 4) points] and FSE T 2WI [3 (3, 3) points, both P<0.05]. The iso MAVRIC-SL images enabled a significantly improved reduction in the artifact area and SNR compared to the MAVRIC-SL and FSE sequence (all P<0.05). Conclusion:The iso MAVRIC-SL acquisitions enhance visualization of the intervertebral foramen and spinal canal and decrease metal artifacts compared with MAVRIC-SL and FSE acquisitions.

Accuracy of target bone segments in personalized differential modeling and simulation of ct scanning parameters at fracture end / 中国组织工程研究

BACKGROUND: CT scan and differential modeling are used to analyze the fracture end, which is an effective method to judge the degree of bone healing. To obtain the high precision of differential modeling and simulation, how to select the optimal CT scanning parameters needs further research and analysis. OBJECTIVE: To compare the effects of different CT scanning parameters on modeling accuracy in personalized differential modeling analysis, to verify the accuracy and effectiveness of personalized differential modeling in the reduction of simulated target bone segments, and to explore the research value of this method in judging the degree of bone healing of long canals of lower extremities. METHODS: The model of internal fixation was established with porcine femur. Four groups of 80 kV-300 mA (group A-low dose), 120 kV-335 mA (group B-automatic tube current control system), 140 kV-300 mA (group C-manual setting comparison) and 140 kV-80 mA (group D-high kV and low mA) were used to scan the same object with the same pitch, slice thickness and environment. The scanning data of each group were selected, the same CT value range was used, and the differential modeling analysis method was used to model the target bone segment. The average area and maximum area of metal artifacts in CT scanning images, the average CT value, volume and maximum wall thickness peak after differential modeling analysis, the radiation amount under four groups of scanning conditions were compared to determine the reduction of metal artifacts, modeling accuracy and radiation, so as to select the optimal CT scanning parameters. RESULTS AND CONCLUSION: (1) Artifact measurement method results: In group A, there were many metal artifacts, which obviously obstructed bone tissue, and had a possibility of missed diagnosis. In group D, there were minimal metal artifacts, less occlusion around bone tissue, but poor image contrast and high fog. The difference between group B and group C lay in the clarity of images, and the accuracy of diagnosis was basically the same. Therefore, the order of artifact size was as follows: group A > group B > group C > Group D. (2) Differential modeling analysis results: In group B, because of the smaller artifact and less loss of CT value, the simulated model was more close to the reality. Moreover, group B adopted the automatic tube current control system, which could obviously show that the radiation amount was smaller and more protective for patients. (3) It is confirmed that the CT scan under the condition of group B can effectively reduce the interference caused by metal artifacts, better retain the original information of CT gray value, and retain the density information of the target bone segment to the maximum extent. Therefore, when establishing differential modeling, the CT automatic tube current control system is used as the optimal CT scanning parameter, which not only improves the simulation accuracy of personalized differential modeling, but also increases the accuracy of calculation.

Cervical Spine CT Using Spectral Shaping: Can It Be a Solution to Overcome Artifacts in the Lower Cervical Spinal Region?

OBJECTIVE: To investigate the image quality, radiation dose, and intermodality agreement of cervical spine CT using spectral shaping at 140 kVp by a tin filter (Sn140-kVp) in comparison with those of conventional CT at 120 kVp. MATERIALS AND METHODS: Patients who had undergone cervical spine CT with Sn140-kVp (n = 58) and conventional 120 kVp (n = 49) were included. Qualitative image quality was analyzed using a 5-point Likert scale. Quantitative image quality was assessed by measuring the noise and attenuation within the central spinal canals at C3/4, C6/7, and C7/T1 levels. Radiation doses received by patients were estimated. The intermodality agreement for disc morphology between CT and MRI was assessed at C3/4, C5/6, C6/7, and C7/T1 levels in 75 patients who had undergone cervical spine MRI as well as CT. RESULTS: Qualitative image quality was significantly superior in Sn140-kVp scans than in the conventional scans (p < 0.001). At C7/T1 level, the noise was significantly lower and the decrease in attenuation was significantly less in Sn140-kVp scans, than in the conventional scans (p < 0.001). Radiation doses were significantly reduced in Sn140-kVp scans by 50% (effective dose: 1.0 ± 0.1 mSv vs. 2.0 ± 0.4 mSv; p < 0.001). Intermodality agreement in the lower cervical spine region tended to be better in Sn140-kVp acquisitions than in the conventional acquisitions. CONCLUSION: Cervical spine CT using Sn140-kVp improves image quality of the lower cervical region without increasing the radiation dose. Thus, this protocol can be helpful to overcome the artifacts in the lower cervical spine CT images.

Application of orthopedic metal artifact reduction technology in CT examination of arthroplasty / 吉林大学学报(医学版)

Objective: To investigate the metal artifact reduction effect of orthopedic metal artifact reduction (O-MAR) techonology and its improvement effect on the image quality in CT examination in the patients with arthroplasty, and to elaborate the significance of the technology in clinical diagnosis and treatment of arthroplasty. Methods: The CT data of 20 patients with hip or knee prostheses was collected. There were two tube voltages in each group of CT data : 120 and 140 Kev. There were also two groups of CT data in each tube voltage group: Non- O-MAR group and O-MAR group; there were four subgroups of CT data of each case: 120 Kev/ O-MAR. 120 Kev/ + 0-MAR, 140 Kev/ O-MAR, 140 Kev/ + 0-MAR. After data collection. Mimics software was applied to conduct three-dimensional (3D) reconstruction for purpose of the qualitative and quantitative analysis of CT data. Qualitative analysis mainly included the grade of severity of metal artifact and quality of data. Quantitative analysis included the volume of metal artifact, the average CT value and standard deviation (SD) in region of interest (KOI). ROI 1 and ROI 2 were chosen at the location of beam hardening artifact (radial high-density metal artifact) and photon starvation artifact (band low-density metal artifact), respectively. Results: According to the result of 3D measurement, the volumes of artifact had no significant difference between 120 Kev/ O-MAR group and 140 Kev/O-MAR group (P=0.062) but there were siginificant differences in the volumes of artifact between other groups (P<0. 05); OMAR technology decreased the volume of beam-hardening artifact obviously ( P< 0.05). According to the results of two-dimensional (2D) measurement, there was no significant difference in the average CT values in ROI 2 between 120 Kev/ O-MAR group and 140 Kev/ OMAR group (P= 0.069), but there were significant differences in the average CT values between other groups ( P

Application of orthopedic metal artifact reduction technology in CT examination of arthroplasty / 吉林大学学报(医学版)

Objective:To investigate the metal artifact reduction effect of orthopedic metal artifact reduction (O-MAR) techonology and its improvement effect on the image quality in CT examination in the patients with arthroplasty, and to elaborate the significance of the technology in clinical diagnosis and treatment of arthroplasty.Methods:The CT data of 20patients with hip or knee prostheses was collected.There were two tube voltages in each group of CT data:120and 140Kev.There were also two groups of CT data in each tube voltage group:nonO-MAR group and O-MAR group;there were four subgroups of CT data of each case:120 Kev/-O-MAR, 120Kev/+O-MAR, 140Kev/-O-MAR, 140Kev/+O-MAR.After data collection, Mimics software was applied to conduct three-dimensional (3D) reconstruction for purpose of the qualitative and quantitative analysis of CT data.Qualitative analysis mainly included the grade of severity of metal artifact and quality of data.Quantitative analysis included the volume of metal artifact, the average CT value and standard deviation (SD) in region of interest (ROI) .ROI 1and ROI 2were chosen at the location of beam hardening artifact (radial high-density metal artifact) and photon starvation artifact (band low-density metal artifact) , respectively.Results:According to the result of3D measurement, the volumes of artifact had no significant difference between 120 Kev/-O-MAR group and140Kev/-O-MAR group (P=0.062) , but there were siginificant differences in the volumes of artifact between other groups (P＜0.05) ;O-MAR technology decreased the volume of beam-hardening artifact obviously (P＜0.05) .According to the results of two-dimensional (2D) measurement, there was no significant difference in the average CT values in ROI 2between 120Kev/-O-MAR group and 140Kev/-O-MAR group (P=0.069) , but there were significant differences in the average CT values between other groups (P＜0.05) ;O-MAR technology decreased the high-density beam-hardening metal artifact and the low-density photon-starvation metal artifact in 2D measurement.Conclusion:O-MAR technology could significantly reduce the CT metal artifact of hip and knee prostheses and increase the clinical value of CT data.

Comparison of the two magnetic resonance deartifact techniques in imaging of different porcelain-fused-to-metal crowns / 华西口腔医学杂志

OBJECTIVE@#This study aimed to compare the porcelain-fused-to-metal (PFM) crown artifact in the magnetic resonance imaging (MRI) of the two magnetic resonance deartifact techniques in studying the application value of the propeller-fast spin-echo T2-weighted sequence (FSE T2WI) in troubleshooting PFM crown artifacts.@*METHODS@#A total of 48 patients with right mandible first molar crown who underwent MRI head examination were chosen as subjects in the study. According to different metal substrates, PFM crowns were divided to three types, namely, nickel-chromium alloy crown, cobalt-chromium alloy crown and titanium crown. The patients received two MRI scan sequences, that is, FSE T2WI and propeller-FSE T2WI sequences. The MRI artifacts areas in two sequences were measured.@*RESULTS@#The difference between FSE T2WI and propeller-FSE T2WI sequences in three kinds of PFM crown was significant (P<0.05).@*CONCLUSIONS@#Propeller-FSE T2WI sequence technique can effectively reduce the metal artifacts of various PFM crowns.

U-net based metal segmentation on projection domain for metal artifact reduction in dental CT

Unlike medical computed tomography (CT), dental CT often suffers from severe metal artifacts stemming from high-density materials employed for dental prostheses. Despite the many metal artifact reduction (MAR) methods available for medical CT, those methods do not sufficiently reduce metal artifacts in dental CT images because MAR performance is often compromised by the enamel layer of teeth, whose X-ray attenuation coefficient is not so different from that of prosthetic materials. We propose a deep learning-based metal segmentation method on the projection domain to improve MAR performance in dental CT. We adopted a simplified U-net for metal segmentation on the projection domain without using any information from the metal-artifacts-corrupted CT images. After training the network with the projection data of five patients, we segmented the metal objects on the projection data of other patients using the trained network parameters. With the segmentation results, we corrected the projection data by applying region filling inside the segmented region. We fused two CT images, one from the corrected projection data and the other from the original raw projection data, and then we forward-projected the fused CT image to get the fused projection data. To get the final corrected projection data, we replaced the metal regions in the original projection data with the ones in the fused projection data. To evaluate the efficacy of the proposed segmentation method on MAR, we compared the MAR performance of the proposed segmentation method with a conventional MAR method based on metal segmentation on the CT image domain. For the MAR performance evaluation, we considered the three primary MAR performance metrics: the relative error (REL), the sum of square difference (SSD), and the normalized absolute difference (NAD). The proposed segmentation method improved MAR performances by around 5.7% for REL, 6.8% for SSD, and 8.2% for NAD. The proposed metal segmentation method on the projection domain showed better MAR performance than the conventional segmentation on the CT image domain. We expect that the proposed segmentation method can improve the performance of the existing MAR methods that are based on metal segmentation on the CT image domain.

Metal Artifact Reduction for Orthopedic Implants: Brain CT Angiography in Patients with Intracranial Metallic Implants

BACKGROUND: The purpose of this study was to qualitatively and quantitatively evaluate the effects of a metal artifact reduction for orthopedic implants (O-MAR) for brain computed tomographic angiography (CTA) in patients with aneurysm clips and coils. METHODS: The study included 36 consecutive patients with 47 intracranial metallic implants (42 aneurysm clips, 5 coils) who underwent brain CTA. The computed tomographic images with and without the O-MAR were independently reviewed both quantitatively and qualitatively by two reviewers. For quantitative analysis, image noises near the metallic implants of non-O-MAR and O-MAR images were compared. For qualitative analysis, image quality improvement and the presence of new streak artifacts were assessed. RESULTS: Image noise was significantly reduced near metallic implants (P < 0.01). Improvement of implant-induced streak artifacts was observed in eight objects (17.0%). However, streak artifacts were aggravated in 11 objects (23.4%), and adjacent vessel depiction was worsened in eight objects (17.0%). In addition, new O-MAR-related streak artifacts were observed in 32 objects (68.1%). New streak artifacts were more prevalent in cases with overlapping metallic implants on the same axial plane than in those without (P = 0.018). Qualitative assessment revealed that the overall image quality was not significantly improved in O-MAR images. CONCLUSION: In conclusion, the use of the O-MAR in patients with metallic implants significantly reduces image noise. However, the degree of the streak artifacts and surrounding vessel depiction were not significantly improved on O-MAR images.

Value and Clinical Application of Orthopedic Metal Artifact Reduction Algorithm in CT Scans after Orthopedic Metal Implantation

OBJECTIVE: To evaluate orthopedic metal artifact reduction algorithm (O-MAR) in CT orthopedic metal artifact reduction at different tube voltages, identify an appropriate low tube voltage for clinical practice, and investigate its clinical application. MATERIALS AND METHODS: The institutional ethical committee approved all the animal procedures. A stainless-steel plate and four screws were implanted into the femurs of three Japanese white rabbits. Preoperative CT was performed at 120 kVp without O-MAR reconstruction, and postoperative CT was performed at 80–140 kVp with O-MAR. Muscular CT attenuation, artifact index (AI) and signal-to-noise ratio (SNR) were compared between preoperative and postoperative images (unpaired t test), between paired O-MAR and non-O-MAR images (paired Student t test) and among different kVp settings (repeated measures ANOVA). Artifacts' severity, muscular homogeneity, visibility of inter-muscular space and definition of bony structures were subjectively evaluated and compared (Wilcoxon rank-sum test). In the clinical study, 20 patients undertook CT scan at low kVp with O-MAR with informed consent. The diagnostic satisfaction of clinical images was subjectively assessed. RESULTS: Animal experiments showed that the use of O-MAR resulted in accurate CT attenuation, lower AI, better SNR, and higher subjective scores (p < 0.010) at all tube voltages. O-MAR images at 100 kVp had almost the same AI and SNR as non-O-MAR images at 140 kVp. All O-MAR images were scored ≥ 3. In addition, 95% of clinical CT images performed at 100 kVp were considered satisfactory. CONCLUSION: O-MAR can effectively reduce orthopedic metal artifacts at different tube voltages, and facilitates low-tube-voltage CT for patients with orthopedic metal implants.

Image Denoising for Metal MRI Exploiting Sparsity and Low Rank Priors

PURPOSE: The management of metal-induced field inhomogeneities is one of the major concerns of distortion-free magnetic resonance images near metallic implants. The recently proposed method called “Slice Encoding for Metal Artifact Correction (SEMAC)” is an effective spin echo pulse sequence of magnetic resonance imaging (MRI) near metallic implants. However, as SEMAC uses the noisy resolved data elements, SEMAC images can have a major problem for improving the signal-to-noise ratio (SNR) without compromising the correction of metal artifacts. To address that issue, this paper presents a novel reconstruction technique for providing an improvement of the SNR in SEMAC images without sacrificing the correction of metal artifacts. MATERIALS AND METHODS: Low-rank approximation in each coil image is first performed to suppress the noise in the slice direction, because the signal is highly correlated between SEMAC-encoded slices. Secondly, SEMAC images are reconstructed by the best linear unbiased estimator (BLUE), also known as Gauss-Markov or weighted least squares. Noise levels and correlation in the receiver channels are considered for the sake of SNR optimization. To this end, since distorted excitation profiles are sparse, l1 minimization performs well in recovering the sparse distorted excitation profiles and the sparse modeling of our approach offers excellent correction of metal-induced distortions. RESULTS: Three images reconstructed using SEMAC, SEMAC with the conventional two-step noise reduction, and the proposed image denoising for metal MRI exploiting sparsity and low rank approximation algorithm were compared. The proposed algorithm outperformed two methods and produced 119% SNR better than SEMAC and 89% SNR better than SEMAC with the conventional two-step noise reduction. CONCLUSION: We successfully demonstrated that the proposed, novel algorithm for SEMAC, if compared with conventional de-noising methods, substantially improves SNR and reduces artifacts.

Computer-assisted Evaluation of Pedicle Screw Position on CT Images / 대한정형외과학회잡지

PURPOSE: The purpose of this study was to develop a personal computer-based method to facilitate the evaluation of pedicle screw position on computed tomography (CT) scan images and to assess its diagnostic value. MATERIAL AND METHOD: A personal computer-based method was developed using the CT images of 17 patients having a total of 84 pedicle screws. Images with a window range of -2, 000 to +3, 000 were inverted; a multiplanar reconstruction viewer was then produced to create these images in the sagittal and coronal planes. Finally, lines circumscribing the threaded portion of screws were drawn on the images. For CT images of thirty-two pedicle screws placed in the lumbar vertebrae of four pigs, screw locations were evaluated by 6 orthopaedic surgeons by our method and by conventional bone window setting. The diagnostic values of the two methods were calculated and compared. RESULT: Our method significantly improved the specificity (from 82% to 94%, p=0.007), the positive predictive value (from 79% to 92%, p=0.015), and inter-observer agreement (from 0.61 to 0.78, p<0.001) in terms of identifying misplaced screws. CONCLUSION: The described method improves the diagnostic accuracy and inter-observer reliability for the identification of misplaced pedicle screws on CT scan images.

Reduction of Metal Artifact around Titanium Alloy-based Pedicle Screws on CT Scan Images: An Approach using a Digital Image Enhancement Technique / 대한척추외과학회지

STUDY DESIGN: A study on the development of an algorithm to enhance computed tomographic images. OBJECTIVE: The purpose of this study was to develop an approach to reduce the metal artifact that appears around pedicle screws, and thus to facilitate the evaluation of pedicle screw positions on CT scan images. SUMMARY OF LITERATURE REVIEW: Metal artifact caused by pedicle screws significantly reduces the interpretability of computed tomography images. MATERIALS AND METHODS: We describe the development of an algorithm that processes CT scan images on a personal computer using a digital image enhancement technique. The algorithm improves CT images by transforming image pixel values using a proper transformation curve that takes into account the characteristic distribution pattern of metal artifact caused by pedicle screws made of titanium alloys. We implemented this algorithm in a program that reconstructs the resulting images in arbitrary planes and in axial, coronal, and sagittal planes. The software was tested with spiral CT scan images of 38 patients containing 190 pedicle screws. RESULTS: In all test cases, our algorithm generated images with less metal artifact, better soft tissue visualization and clearer screw outlines than conventional bone setting. In addition, images reconstructed in arbitrary planes increase the convenience and confidence of localizing screw positions. CONCLUSIONS: The algorithm effectively decreases metal artifact and improved pedicle screw localization.