Abstract

Application): The investigators propose to develop and validate a three-dimensional computed tomography technique for evaluating the human colon for the presence/absence of polyps that will be as sensitive as colonoscopy (95%) and have a specificity greater than or equal to 80%. Virtual endoscopic views will be produced that may eliminate a large fraction of colonoscopy exams which would have negative results and also would have involved higher risk, discomfort and cost. The three specific aims toward this objective include: (1) development of an optimized spiral CT scanning protocol, (2) visualization technique development and evaluation for three different types of reconstruction software, and (3) clinical validation in a 170 patient study over the four year project duration.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA072023-04
Application #
2895696
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Menkens, Anne E
Project Start
1996-09-13
Project End
2000-06-30
Budget Start
1999-07-01
Budget End
2000-06-30
Support Year
4
Fiscal Year
1999
Total Cost
Indirect Cost

  Institution

Name
Stanford University
Department
Radiation-Diagnostic/Oncology
Type
Schools of Medicine
DUNS #
800771545
City
Stanford
State
CA
Country
United States
Zip Code
94305

  Publications

Akgul, Ceyhun Burak; Rubin, Daniel L; Napel, Sandy et al. (2011) Content-based image retrieval in radiology: current status and future directions. J Digit Imaging 24:208-22
Korenblum, Daniel; Rubin, Daniel; Napel, Sandy et al. (2011) Managing biomedical image metadata for search and retrieval of similar images. J Digit Imaging 24:739-48
Napel, Sandy A; Beaulieu, Christopher F; Rodriguez, Cesar et al. (2010) Automated retrieval of CT images of liver lesions on the basis of image similarity: method and preliminary results. Radiology 256:243-52
Rubin, Daniel L; Rodriguez, Cesar; Shah, Priyanka et al. (2008) iPad: Semantic annotation and markup of radiological images. AMIA Annu Symp Proc :626-30
Sundaram, P; Zomorodian, A; Beaulieu, C et al. (2008) Colon polyp detection using smoothed shape operators: preliminary results. Med Image Anal 12:99-119
Konukoglu, Ender; Acar, Burak; Paik, David S et al. (2007) Polyp enhancing level set evolution of colon wall: method and pilot study. IEEE Trans Med Imaging 26:1649-56
Shi, Rong; Napel, Sandy; Rosenberg, Jarrett K et al. (2007) Transparent rendering of intraluminal contrast for 3D polyp visualization at CT colonography. J Comput Assist Tomogr 31:773-9
Shi, Rong; Schraedley-Desmond, Pamela; Napel, Sandy et al. (2006) CT colonography: influence of 3D viewing and polyp candidate features on interpretation with computer-aided detection. Radiology 239:768-76
Paik, David S; Beaulieu, Christopher F; Rubin, Geoffrey D et al. (2004) Surface normal overlap: a computer-aided detection algorithm with application to colonic polyps and lung nodules in helical CT. IEEE Trans Med Imaging 23:661-75
Bilello, Michel; Gokturk, Salih Burak; Desser, Terry et al. (2004) Automatic detection and classification of hypodense hepatic lesions on contrast-enhanced venous-phase CT. Med Phys 31:2584-93

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