Using optical flow fields for Polyp detection in virtual colonoscopy
Publication
, Conference
Acar, B; Napel, S; Paik, D; G Ö Ktürk, B; Tomasi, C; Beaulieu, CF
Published in: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
January 1, 2001
Since the introduction of Computed Tomographic Colonography (CTC), research has mainly focused on visualization and navigation techniques. Recently, efforts have shifted towards computer aided detection (CAD) of polyps. We propose a new approach to CAD in CT images that attempts to model the way a radiologist recognizes a polyp using optical flow fields (OFF). Features extracted from OFFs are used by a linear classifier for polyp detection. An initial validation of our technique resulted in an average of 75% specificity at 100% sensitivity in a 10-fold cross validation study on a set of 220 polyp-like structures, 20 of which were true polyps.
Duke Scholars
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2001
Volume
2208
Start / End Page
637 / 644
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences
Citation
APA
Chicago
ICMJE
MLA
NLM
Acar, B., Napel, S., Paik, D., G Ö Ktürk, B., Tomasi, C., & Beaulieu, C. F. (2001). Using optical flow fields for Polyp detection in virtual colonoscopy. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2208, pp. 637–644). https://doi.org/10.1007/3-540-45468-3_77
Acar, B., S. Napel, D. Paik, B. G Ö Ktürk, C. Tomasi, and C. F. Beaulieu. “Using optical flow fields for Polyp detection in virtual colonoscopy.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2208:637–44, 2001. https://doi.org/10.1007/3-540-45468-3_77.
Acar B, Napel S, Paik D, G Ö Ktürk B, Tomasi C, Beaulieu CF. Using optical flow fields for Polyp detection in virtual colonoscopy. In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001. p. 637–44.
Acar, B., et al. “Using optical flow fields for Polyp detection in virtual colonoscopy.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2208, 2001, pp. 637–44. Scopus, doi:10.1007/3-540-45468-3_77.
Acar B, Napel S, Paik D, G Ö Ktürk B, Tomasi C, Beaulieu CF. Using optical flow fields for Polyp detection in virtual colonoscopy. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 2001. p. 637–644.
Published In
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
DOI
EISSN
1611-3349
ISSN
0302-9743
Publication Date
January 1, 2001
Volume
2208
Start / End Page
637 / 644
Related Subject Headings
- Artificial Intelligence & Image Processing
- 46 Information and computing sciences