Content-based image retrieval on CT colonography using rotation and scale invariant features and bag-of-words model

Author

Aman, Javed M. ; Yao, Jianhua ; Summers, Ronald M.

Author_Institution

Radiol. & Imaging Sci. Dept., Clinical Center Nat. Institutes of Health, Bethesda, MD, USA

fYear

2010

fDate

14-17 April 2010

Firstpage

1357

Lastpage

1360

Abstract

We present a content-based image retrieval (CBIR) paradigm to enhance computed tomographic colonography computer-aided detection (CTCCAD). Our method uses scale-invariant feature transform (SIFT) features in conjunction with the bag-of-words model to describe and differentiate 3D images of CTCCAD detections. We evaluate the performance of our system using both digital colon phantoms and detections form CTCCAD. Our method shows promise in distinguishing common structures found within the colon.

Keywords

biological organs; computerised tomography; feature extraction; image retrieval; medical image processing; phantoms; CT colonography; CTCCAD detections; computed tomographic colonography computer-aided detection; content-based image retrieval; differentiate 3D images; digital colon phantoms; scale invariant feature; scale-invariant feature transform features; Cancer; Colon; Colonography; Computer vision; Content based retrieval; Image databases; Image retrieval; Optical imaging; Tomography; Virtual colonoscopy; Bag-of-Words; CT Colonography; Computer-Aided Detection; Content-Based Image Retrieval; Scale Invariant Features;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on

Conference_Location

Rotterdam

ISSN

1945-7928

Print_ISBN

978-1-4244-4125-9

Electronic_ISBN

1945-7928

Type

conf

DOI

10.1109/ISBI.2010.5490249

Filename

5490249