Literature DB >> 19175123

Scale-based scatter correction for computer-aided polyp detection in CT colonography.

Jiamin Liu1, Jianhua Yao, Ronald M Summers.   

Abstract

CT colonography (CTC) is a feasible and minimally invasive method for the detection of colorectal polyps and cancer screening. Computer-aided detection (CAD) of polyps can improve consistency and sensitivity of virtual colonoscopy interpretation and reduce interpretation burden. However, high-density orally administered contrast agents have scatter effects on neighboring tissues. The scattering manifests itself as an artificial elevation in the observed CT attenuation values of the neighboring tissues. This pseudoenhancement phenomenon presents a problem for the application of computer-aided polyp detection, especially when polyps are submerged in the contrast agents. The authors have developed a scale-based correction method that minimizes scatter effects in CTC data by subtraction of the estimated scatter components from observed CT attenuations. By bringing a locally adaptive structure, object scale, into the correction framework, the region of neighboring tissues affected by contrast agents is automatically specified and adaptively changed in different parts of the image. The method was developed as one preprocessing step in the authors' CAD system and was tested by using leave-one-patient-out evaluation on 56 clinical CTC scans (supine or prone) from 28 patients. There were 50 colonoscopy-confirmed polyps measuring 6-9 mm. Visual evaluation indicated that the method reduced CT attenuation of pseudoenhanced polyps to the usual polyp Hounsfield unit range without affecting luminal air regions. For polyps submerged in contrast agents, the sensitivity of CAD with correction is increased 24% at a rate of ten false-positive detections per scan. For all polyps within 6-9 mm, the sensitivity of the authors' CAD with scatter correction is increased 8% at a rate of ten false-positive detections per scan. The authors' results indicated that CAD with this correction method as a preprocessing step can yield a high sensitivity and a relatively low FP rate in CTC.

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Year:  2008        PMID: 19175123      PMCID: PMC2644449          DOI: 10.1118/1.3013552

Source DB:  PubMed          Journal:  Med Phys        ISSN: 0094-2405            Impact factor:   4.071


  12 in total

1.  Scale-based diffusive image filtering preserving boundary sharpness and fine structures.

Authors:  P K Saha; J K Udupa
Journal:  IEEE Trans Med Imaging       Date:  2001-11       Impact factor: 10.048

2.  Artery-vein separation via MRA--an image processing approach.

Authors:  T Lei; J K Udupa; P K Saha; D Odhner
Journal:  IEEE Trans Med Imaging       Date:  2001-08       Impact factor: 10.048

3.  Automated polyp detection at CT colonography: feasibility assessment in a human population.

Authors:  R M Summers; C D Johnson; L M Pusanik; J D Malley; A M Youssef; J E Reed
Journal:  Radiology       Date:  2001-04       Impact factor: 11.105

4.  Development of a practical image-based scatter correction method for brain perfusion SPECT: comparison with the TEW method.

Authors:  Miho Shidahara; Hiroshi Watabe; Kyeong Min Kim; Takashi Kato; Shoji Kawatsu; Rikio Kato; Kumiko Yoshimura; Hidehiro Iida; Kengo Ito
Journal:  Eur J Nucl Med Mol Imaging       Date:  2005-05-28       Impact factor: 9.236

5.  Adaptive correction of the pseudo-enhancement of CT attenuation for fecal-tagging CT colonography.

Authors:  Janne Näppi; Hiroyuki Yoshida
Journal:  Med Image Anal       Date:  2008-01-26       Impact factor: 8.545

6.  Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.

Authors:  Ronald M Summers; Jianhua Yao; Perry J Pickhardt; Marek Franaszek; Ingmar Bitter; Daniel Brickman; Vamsi Krishna; J Richard Choi
Journal:  Gastroenterology       Date:  2005-12       Impact factor: 22.682

7.  Colonic polyps: complementary role of computer-aided detection in CT colonography.

Authors:  Ronald M Summers; Anna K Jerebko; Marek Franaszek; James D Malley; C Daniel Johnson
Journal:  Radiology       Date:  2002-11       Impact factor: 11.105

8.  The effects of scatter in x-ray computed tomography.

Authors:  P M Joseph; R D Spital
Journal:  Med Phys       Date:  1982 Jul-Aug       Impact factor: 4.071

9.  Polyp size at CT colonography after electronic subtraction cleansing in an anthropomorphic colon phantom.

Authors:  Michael E Zalis; James J Perumpillichira; John Y Kim; Chiara Del Frate; Cordula Magee; Peter F Hahn
Journal:  Radiology       Date:  2005-07       Impact factor: 11.105

10.  A simple, direct method for x-ray scatter estimation and correction in digital radiography and cone-beam CT.

Authors:  J H Siewerdsen; M J Daly; B Bakhtiar; D J Moseley; S Richard; H Keller; D A Jaffray
Journal:  Med Phys       Date:  2006-01       Impact factor: 4.071

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  13 in total

Review 1.  Improving the accuracy of CTC interpretation: computer-aided detection.

Authors:  Ronald M Summers
Journal:  Gastrointest Endosc Clin N Am       Date:  2010-04

2.  Automated image-based colon cleansing for laxative-free CT colonography computer-aided polyp detection.

Authors:  Marius George Linguraru; Neil Panjwani; Joel G Fletcher; Ronald M Summers
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

Review 3.  Polyp size measurement at CT colonography: what do we know and what do we need to know?

Authors:  Ronald M Summers
Journal:  Radiology       Date:  2010-06       Impact factor: 11.105

4.  Nonlinear regression-based method for pseudoenhancement correction in CT colonography.

Authors:  Baigalmaa Tsagaan; Janne Näppi; Hiroyuki Yoshida
Journal:  Med Phys       Date:  2009-08       Impact factor: 4.071

5.  Improved computer-aided detection of small polyps in CT colonography using interpolation for curvature estimation.

Authors:  Jiamin Liu; Suraj Kabadi; Robert Van Uitert; Nicholas Petrick; Rachid Deriche; Ronald M Summers
Journal:  Med Phys       Date:  2011-07       Impact factor: 4.071

Review 6.  Progress in Fully Automated Abdominal CT Interpretation.

Authors:  Ronald M Summers
Journal:  AJR Am J Roentgenol       Date:  2016-04-21       Impact factor: 3.959

7.  Deriving adaptive MRF coefficients from previous normal-dose CT scan for low-dose image reconstruction via penalized weighted least-squares minimization.

Authors:  Hao Zhang; Hao Han; Jing Wang; Jianhua Ma; Yan Liu; William Moore; Zhengrong Liang
Journal:  Med Phys       Date:  2014-04       Impact factor: 4.071

8.  Automatic detection and quantification of tree-in-bud (TIB) opacities from CT scans.

Authors:  Ulas Bagci; Jianhua Yao; Albert Wu; Jesus Caban; Tara N Palmore; Anthony F Suffredini; Omer Aras; Daniel J Mollura
Journal:  IEEE Trans Biomed Eng       Date:  2012-03-14       Impact factor: 4.538

9.  ROC operating point selection for classification of imbalanced data with application to computer-aided polyp detection in CT colonography.

Authors:  Bowen Song; Guopeng Zhang; Wei Zhu; Zhengrong Liang
Journal:  Int J Comput Assist Radiol Surg       Date:  2014-01       Impact factor: 2.924

10.  Information-Preserving Pseudo-Enhancement Correction for Non-Cathartic Low-Dose Dual-Energy CT Colonography.

Authors:  Janne J Näppi; Rie Tachibana; Daniele Regge; Hiroyuki Yoshida
Journal:  Abdom Imaging (2014)       Date:  2014-09
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