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1.
Clin Imaging ; 40(6): 1213-1218, 2016.
Article in English | MEDLINE | ID: mdl-27616154

ABSTRACT

PURPOSE: This study aims to compare transcatheter aortic valve replacement (TAVR) planning on 16 cm wide-detector computed tomography (CT) to TAVR planning on 4 cm detector CT. MATERIALS AND METHODS: A total of 36 patients who had TAVR planning axial CT on a wide-detector scanner (protocol 1) were compared to 36 patients who had helical 4 cm detector CT (protocol 2). RESULTS: Vascular attenuation was greater for protocol 1, but image noise, contrast-to-noise ratio, and signal-to-noise ratio were the same. Radiation dose was lower and iodine dose was less for protocol 1. CONCLUSION: Protocol 1 had greater vascular attenuation and similar image quality but lower radiation and less iodine compared to protocol 2.


Subject(s)
Contrast Media/administration & dosage , Image Enhancement , Iodine/administration & dosage , Radiation Dosage , Tomography, Spiral Computed/methods , Tomography, X-Ray Computed/methods , Transcatheter Aortic Valve Replacement , Aged , Female , Humans , Male , Retrospective Studies , Signal-To-Noise Ratio
2.
AJR Am J Roentgenol ; 200(5): 1071-6, 2013 May.
Article in English | MEDLINE | ID: mdl-23617492

ABSTRACT

OBJECTIVE: The purpose of this study is to compare three CT image reconstruction algorithms for liver lesion detection and appearance, subjective lesion conspicuity, and measured noise. MATERIALS AND METHODS: Thirty-six patients with known liver lesions were scanned with a routine clinical three-phase CT protocol using a weight-based noise index of 30 or 36. Image data from each phase were reconstructed with filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based iterative reconstruction (MBIR). Randomized images were presented to two independent blinded reviewers to detect and categorize the appearance of lesions and to score lesion conspicuity. Lesion size, lesion density (in Hounsfield units), adjacent liver density (in Hounsfield units), and image noise were measured. Two different unblinded truth readers established the number, appearance, and location of lesions. RESULTS: Fifty-one focal lesions were detected by truth readers. For blinded reviewers compared with truth readers, there was no difference for lesion detection among the reconstruction algorithms. Lesion appearance was statistically the same among the three reconstructions. Although one reviewer scored lesions as being more conspicuous with MBIR, the other scored them the same. There was significantly less background noise in air with MBIR (mean [± SD], 2.1 ± 1.4 HU) than with ASIR (8.9 ± 1.9 HU; p < 0.001) or FBP (10.6 ± 2.6 HU; p < 0.001). Mean lesion contrast-to-noise ratio was statistically significantly higher for MBIR (34.4 ± 29.1) than for ASIR (6.5 ± 4.9; p < 0.001) or FBP (6.3 ± 6.0; p < 0.001). CONCLUSION: In routine-dose clinical CT of the liver, MBIR resulted in comparable lesion detection, lesion characterization, and subjective lesion conspicuity, but significantly lower background noise and higher contrast-to-noise ratio compared with ASIR or FBP. This finding suggests that further investigation of the use of MBIR to enable dose reduction in liver CT is warranted.


Subject(s)
Algorithms , Artifacts , Liver Neoplasms/diagnostic imaging , Models, Biological , Radiographic Image Enhancement/methods , Radiographic Image Interpretation, Computer-Assisted/methods , Tomography, X-Ray Computed/methods , Computer Simulation , Data Interpretation, Statistical , Female , Humans , Male , Middle Aged , Reproducibility of Results , Sensitivity and Specificity , Signal-To-Noise Ratio
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