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AIM: To compare the consistency and feasibility of objective ocular torsion measured with GMPE module-based optical coherence tomography(OCT)and fundus color photography(FCP).METHODS: Patients were enrolled in our strabismus clinic from December 2020 to March 2021, and the objective ocular torsion of the eyes was measured by both GMPE module-based OCT and FCP on the same day. FCP was used to measure the fovea-disc angle(FDA)manually by using the Adobe Photoshop software, while the GMPE module-based OCT software positioned automatically the macula and the center of the optic disc to measure the FDA.RESULTS: Fifty-five patients were included, the FDA measured by OCT was -6.6°±4.5° in the right eye and -8.8°±4.7° in the left eye, respectively; The FDA measured by FCP was -6.6°±4.7° in the right eye and -8.4°±4.1° in the left eye, respectively, with no statistically significant difference between the results of the two methods(Pright eye=0.90, Pleft eye=0.08). In patients with exotropia, the FDA measured by OCT was -5.8°±4.9° in the right eye and -9.1°±4.5° in the left eye, respectively, the FDA measured by FCP was -5.7°±5.0° in the right eye and -8.6°±4.3° in the left eye, respectively,(Pright eye=0.75, Pleft eye=0.15). Similarly, the patients with esotropia, the FDA measured by OCT was -9.0°±7.3° in the right eye and -11.3°±3.5° in the left eye, respectively, while the FDA measured by FCP was -10.0°±7.0° in the right and -10.1°±2.8° in the left eye(Pright eye=0.21, Pleft eye=0.10), respectively. There were no significant differences between the two methods in patients with esotropia or exotropia(P>0.05). The results of both Pearson test and Bland-Altman analysis were highly correlated(rright eye=0.93, rleft eye=0.94, P<0.01). CONCLUSION: GMPE module-based OCT can be used for objective ocular torsion measurement with high reliability and reproducibility, and is a promising clinical alternative to the fundus color photographic method.
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Purpose: To calculate AIP and to find correlation between hole closure pattern with AIP in idiopathic full thickness macular hole (FTMH) cases. Methods: In this prospective, non-randomized, interventional single blind study, 105 eyes of symptomatic FTMH (<6 month duration) were operated. Minimal diameter of macular hole (MDMH) was calculated on OCT, divided into Group I (>400?, n = 75) and Group II (<400?, n = 30). 23G vitrectomy with ILM peeling and gas injection were done in all and recorded. Final area of ILM peeled (AIP) was calculated using Adobe Photoshop CS2 (PSD format) in disc diameters (DD) from still frame. Follow up was done at 6 monthly interval up to a maximum of 5 years after surgery. Results: Macular holes were closed in 92.38% eyes. In Group I, mean pre-operative BCVA was 1.14 � 0.39 log MAR and was improved to 0.79 � 0.26 log MAR post-operatively at 6 months. In Group II, mean pre-operative BCVA was 0.95 � 0.44 log MAR and was improved to 0.60 � 0.24 log MAR after surgery. When AIP was more than 3DD, Type I and Type II closure were 72.77% and 27.27% in Group I (P value <0.01) and 84.21% and 15.79% in Group II (P value <0.01). Conclusion: AIP can be calculated using Adobe Photoshop CS2. Type I closure was significantly high with AIP >3DD in both groups. Intra-operatively using video overlay, surgeons can increase the diameter of AIP to get better closure pattern.
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Introduction: Age estimation has always been a crucial concern in permissible and scandalous investigations for establishing one’s identity. Assessment of chronological age of an individual by dental hard tissues is an important specialty in the turf of forensics especially in enigmatic conditions including mass disasters and festering postmortem residues. Teeth bestowing the properties of hardness, resilience prove to be the reliable material for age estimation in the identification of the unknown. Translucency in root dentin is considered to be one of the best criteria for estimation or assessment of dental age. Objectives: The present investigation evaluates and compares the effectiveness of conventional, stereomicroscopic and digital methods for age estimation by measuring root dentin translucency & concluding the best method among them. Methods: A total of 30 permanent teeth of the age group 21- 80 years were sectionioned longitudinally of thickness 250µm & translucency in root dentin was calculated using conventional, stereomicroscopic & digital methods and was compared. Results: There was no statistically considerable difference (p=0.584) observed in translucency length obtained by the three methods. Linear regression equations derived from the three methods revealed most accurate method as digital followed by conventional and stereomicroscopic to assess age. The digital method is statistically significant with highest accuracy allowing better visualization, easy to use and less time consuming. Conclusion: Taking into consideration the benefits, the present study recommends the use of digital method to assess translucency for age estimation.
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Whole body of a Korean male cadaver was serially sectioned to make anatomical images. Structures in the anatomical images should be segmented to make three-dimensional images of the structures. Purpose of this research is to prepare the segmented images of lower limb in detail, which are distributed to help other investigators make 3D images and virtual dissection software of lower limb. One-hundred fourteen structures (a skin, 32 bones, 7 knee joint structures, 60 muscles, 7 arteries, 7 nerves) of left lower limb were decided to segment in 976 temporary segmented images (PSD file, intervals 1.0 mm, resolution 1,200 x 1,100) including anatomical images. On the Adobe Photoshop, selections which fit the structures' contours were drawn automatically, semiautomatically, or manually; subsequently, the selections were put into the layers. After filling the selections with colors, the temporary segmented images were converted to 996 segmented images (TIFF files). The segmented images were staked to make coronal and sagittal segmented images for verifying segmentation. The corresponding segmented and anatomical images can be used to make three-dimensional images of the 114 structures and virtual dissection software, which are helpful in anatomy study of lower limb. The segmentation techniques of this research can be used to segment many structures in other images quickly and correctly.
Subject(s)
Humans , Male , Arteries , Cadaver , Imaging, Three-Dimensional , Knee Joint , Lower Extremity , Muscles , Research Personnel , SkinABSTRACT
Digital imaging is emerging as a standard method for patient documentation in clinical setting. Managing patient expectations before aesthetic surgery can greatly improve patient satisfaction after surgery. The patient who visited for plastic surgery wants a predicted figure after the operation. A virtual plastic surgery software is necessary in order to satisfy the desire of patients. Adobe Photoshop(R) is the professional standard in desktop digital imaging, offers indispensable new features for graphic and web design, photography, and video. Using imaging technology, it takes just minutes to realistically simulate the results of double eyelid operation, liposuction, rhinoplasty or any other aesthetic procedure. The aim of this study is to analyze the significance of the digital image processing and to introduce the virtual plastic surgery using Adobe Photoshop(R).
Subject(s)
Humans , Eyelids , Lipectomy , Patient Satisfaction , Photography , Rhinoplasty , Surgery, PlasticABSTRACT
While three dimensional (3D) images of the whole body can be reconstructed by using the serially sectioned images, 3D image of each anatomical structure can be reconstructed by using the segmented images. In this research, outlines of skin, bones, liver, lungs, kidneys, urinary bladder, heart, and brain in the anatomical images were decided to segment, and luminal outlines of digestive tract, respiratory tract, and arteries were decided to segment too. On the Adobe Photoshop, selections were semiautomatically drawn along outlines of the anatomical structures and semiautomatically corrected using magnetic lasso tool. Successively, selections were manually corrected either using lasso tool or through work path. The selections were filled with colors to make segmented images. By stacking rows and columns of the segmented images, coronal and sagittal segmented images were made. The coronal and sagittal segmented images were observed to find incorrect segmented images, which were revised. 8,507 segmented images with 0.2 mm intervals, 3,040x2,008 resolution, 0.2 mm pixel size, and 8 bits color depth were achieved, so that file size of 1 segmented image and 8,507 segmented images was 5.8 Mbytes and 48.3 Gbytes, respectively. These segmented images will be the basis for the development of 3D images of the anatomical structures and software of virtual dissection and virtual endoscopy, which are helpful in studying anatomy and endoscopy.