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Chen LS, Hsu TW, Chen SJ, Chang SH, Lin CW, Chen YR, Hsieh CC, Han SC, Chang KY, Hou CJ. Improving Image Correlation and Differentiation of 3D Endoluminal Lesions in the Air Spaces Using a Novel Target Gray Level Mapping Technique: A Preliminary Study of Its Application to Computed Tomographic Colonography and Comparison with Traditional Surface Rendering Method. J Med Biol Eng 2020; 40:868-879. [PMID: 33013258 PMCID: PMC7519704 DOI: 10.1007/s40846-020-00565-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2020] [Accepted: 09/07/2020] [Indexed: 11/24/2022]
Abstract
Purpose To improve the three dimensional (3D) and two dimensional (2D) image correlation and differentiation of 3D endoluminal lesions in the traditional surface rendering (SR) computed tomographic endoscopy (CTE), a target gray level mapping (TGM) technique is developed and applied to computed tomographic colonography (CTC) in this study. Methods A study of sixty-two various endoluminal lesions from thirty patients (13 males, 17 females; age range 31–90 years) was approved by our institutional review board and evaluated retrospectively. The endoluminal lesions were segmented using gray level threshold. The marching cubes algorithm was used to detect isosurfaces in the segmented volumetric data sets. TGM allows users to interactively apply grey level mapping (GM) to region of interest (ROI) in the 3D CTC. Radiologists conducted the clinical evaluation and the resulting data were analyzed.
Results TGM and GM are significantly superior to SR in terms of surface texture, 3D shape, the confidence of 3D to 2D, 2D to 3D image correlation, and clinical classification of endoluminal lesions (P < 0.01). The specificity and diagnostic accuracy of GM and TGM methods are significantly better than those of SR (P < 0.01). Moreover, TGM performs better than GM (specificity: 75.0–85.7% vs. 53.6–64.3%; accuracy: 88.7–93.5% vs. 77.4–83.9%). TGM is a preferable display mode for further localization and differentiation of a lesion in CTC navigation.
Conclusions Compared with only the spatial shape information in traditional SR of CTC images, the 3D shapes and gray level information of endoluminal lesions can be provided by TGM simultaneously. 3D to 2D image correlations are also increased and facilitated at the same time. TGM is less affected by adjacent colon surfaces than GM. TGM serves as a better way to improve the image correlation and differentiation of endoluminal lesions.
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Affiliation(s)
- Lih-Shyang Chen
- Department of Electric Engineering, National Cheng Kung University, Tainan, Taiwan, ROC
| | - Ta-Wen Hsu
- Department of General Surgery, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan, ROC.,School of Medicine, Tzu Chi University, Hualien, Taiwan, ROC
| | - Shao-Jer Chen
- School of Medicine, Tzu Chi University, Hualien, Taiwan, ROC.,Department of Medical Imaging, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan, ROC.,Department of Medical Imaging, Buddhist Dalin Tzu Chi General Hospital, No. 2, Min-Sheng Road, Dalin Town, Chiayi, 622 Taiwan, ROC
| | - Shu-Han Chang
- Department of Electric Engineering, National Cheng Kung University, Tainan, Taiwan, ROC
| | - Chih-Wen Lin
- School of Medicine, Tzu Chi University, Hualien, Taiwan, ROC.,Department of Medical Imaging, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan, ROC
| | - Yu-Ruei Chen
- School of Medicine, Tzu Chi University, Hualien, Taiwan, ROC.,Department of Medical Imaging, Dalin Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation, Chiayi, Taiwan, ROC
| | - Chin-Chiang Hsieh
- Department of Radiology, Tainan Hospital, Ministry of Health and Welfare, Tainan, Taiwan, ROC
| | - Shu-Chen Han
- Department of Radiology, Tainan Municipal Hospital, Tainan, Taiwan, ROC
| | - Ku-Yaw Chang
- Department of Computer Science and Information Engineering, Da-Yeh University, Changhua, Taiwan, ROC
| | - Chun-Ju Hou
- Department of Electrical Engineering, Southern Taiwan University of Science and Technology, Tainan, Taiwan, ROC
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Park SH, Kim DH. CT colonography interpretation: how to maximize polyp detection and minimize overcalling. Abdom Radiol (NY) 2018; 43:539-553. [PMID: 29404639 DOI: 10.1007/s00261-018-1455-x] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
This article outlines how to achieve maximum accuracy in interpreting CT colonography (CTC) regarding colonic findings. Interpreting extracolonic findings seen on CTC is a separate diagnostic task and will not be addressed in this article. While many interpretive pitfalls are in fact related to CTC techniques, this article focuses on issues that are related to interpretive knowledge and skills, avoiding in-depth discussions on CTC techniques. Principal methods and further tips for detecting possible polyp candidates and for confirming true soft-tissue polyps will be discussed. Specific points about optimizing interpretation strategies for difficult flat polyps including sessile serrated polyp will be raised. There are numerous interpretive pitfalls regarding the colonic interpretation of CTC. Knowledge of these pitfalls will shorten the learning curve and help achieve accurate reads.
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Affiliation(s)
- Seong Ho Park
- Department of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
| | - David H Kim
- Department of Radiology, University of Wisconsin School of Medicine and Public Health, Clinical Science Center, E3/311, 600 Highland Ave, Madison, WI, 53792-3252, USA
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