Literature DB >> 23674411

Electronic cleansing for 24-h limited bowel preparation CT colonography using principal curvature flow.

Vincent F van Ravesteijn, Thierry N Boellaard, Marije P van der Paardt, Iwo W O Serlie, Margriet C de Haan, Jaap Stoker, Lucas J van Vliet, Frans M Vos.   

Abstract

CT colonography (CTC) is one of the recommended methods for colorectal cancer screening. The subject's preparation is one of the most burdensome aspects of CTC with a cathartic bowel preparation. Tagging of the bowel content with an oral contrast medium facilitates CTC with limited bowel preparation. Unfortunately, such preparations adversely affect the 3-D image quality. Thus far, data acquired after very limited bowel preparation were evaluated with a 2-D reading strategy only. Existing cleansing algorithms do not work sufficiently well to allow a primary 3-D reading strategy. We developed an electronic cleansing algorithm, aimed to realize optimal 3-D image quality for low-dose CTC with 24-h limited bowel preparation. The method employs a principal curvature flow algorithm to remove heterogeneities within poorly tagged fecal residue. In addition, a pattern recognition-based approach is used to prevent polyp-like protrusions on the colon surface from being removed by the method. Two experts independently evaluated 40 CTC cases by means of a primary 2-D approach without involvement of electronic cleansing as well as by a primary 3-D method after electronic cleansing. The data contained four variations of 24-h limited bowel preparation and was based on a low radiation dose scanning protocol. The sensitivity for lesions ≥ 6 mm was significantly higher for the primary 3-D reading strategy (84%) than for the primary 2-D reading strategy (68%) (p = 0.031). The reading time was increased from 5:39 min (2-D) to 7:09 min (3-D) (p = 0.005); the readers' confidence was reduced from 2.3 (2-D) to 2.1 (3-D) ( p = 0.013) on a three-point Likert scale. Polyp conspicuity for cleansed submerged lesions was similar to not submerged lesions (p = 0.06). To our knowledge, this study is the first to describe and clinically validate an electronic cleansing algorithm that facilitates low-dose CTC with 24-h limited bowel preparation.

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Year:  2013        PMID: 23674411     DOI: 10.1109/TBME.2013.2262046

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  4 in total

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

Authors:  K N Manjunath; P C Siddalingaswamy; G K Prabhu
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-06-01       Impact factor: 2.924

2.  Electronic cleansing in computed tomography colonography using AT layer identification with integration of gradient directional second derivative and material fraction model.

Authors:  Krisorn Chunhapongpipat; Ratinan Boonklurb; Bundit Chaopathomkul; Sirod Sirisup; Rajalida Lipikorn
Journal:  BMC Med Imaging       Date:  2017-09-04       Impact factor: 1.930

3.  Self-Supervised Adversarial Learning with a Limited Dataset for Electronic Cleansing in Computed Tomographic Colonography: A Preliminary Feasibility Study.

Authors:  Rie Tachibana; Janne J Näppi; Toru Hironaka; Hiroyuki Yoshida
Journal:  Cancers (Basel)       Date:  2022-08-26       Impact factor: 6.575

4.  A quantitative validation of segmented colon in virtual colonoscopy using image moments.

Authors:  K N Manjunath; G K Prabhu; P C Siddalingaswamy
Journal:  Biomed J       Date:  2020-02-25       Impact factor: 4.910

  4 in total

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