Measurement of smaller colon polyp in CT colonography images using morphological image processing

Manjunath, K N and Siddalingaswamy, PC and Prabhu, G K (2017) Measurement of smaller colon polyp in CT colonography images using morphological image processing. Computer-Assisted Radiology and Surgery. pp. 1-11. ISSN 1861-6410

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Purpose Automated measurement of the size and shape of colon polyps is one of the challenges in Computed tomography colonography (CTC). The objective of this retrospective studywas to improve the sensitivity and specificity of smaller polyp measurement in CTC using image processing techniques. Methods A domain knowledge-based method has been implemented with hybrid method of colon segmentation, morphological image processing operators for detecting the colonic structures, and the decision-making system for delineating the smaller polyp-based on a priori knowledge. Results The method was applied on 45 CTC dataset. The key finding was that the smaller polyps were accurately measured. In addition to 6–9mm range, polyps of even <5mm were also detected. The results were validated qualitatively and quantitatively using both 2D MPR and 3D view. Implementation was done on a high-performance computer with parallel processing. It takes∼4min formeasuring the smaller polyp in a dataset of 500 CTC images. With this method, TPR = 87.5%,TNR = 82%, PPV = 94.45%,NPV = 64.28%, F1 score = 90.66% and acuracy = 86.27% were achieved. Conclusions The domain-based approach with morphology ical image processing has given good results. The smaller polyps were measured accurately which helps in making right clinical decisions. Qualitatively and quantitatively the results were acceptable when compared to the ground truth at α = 5%.

Item Type: Article
Uncontrolled Keywords: Colon polyp, Boundary based, Skeletonization, Shape descriptor, Gram Schmidt orthogonalization
Subjects: Engineering > MIT Manipal > Biomedical
Engineering > MIT Manipal > Computer Science and Engineering
Depositing User: MIT Library
Date Deposited: 03 Aug 2017 08:36
Last Modified: 03 Aug 2017 08:36

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