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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

ISBN

9783540454687

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

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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.
Journal cover image

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

ISBN

9783540454687

Publication Date

January 1, 2001

Volume

2208

Start / End Page

637 / 644

Related Subject Headings

  • Artificial Intelligence & Image Processing
  • 46 Information and computing sciences