Computer aided classification of cell nuclei in the gastrointestinal tract by volume and principal axis

Ann M. Sagstetter; Jon J. Camp; Matthew S. Lurken; Joseph H. Szurszewski; Gianrico Farrugia M.D.; Simon J. Gibbons; Richard A. Robb

doi:10.1117/12.710274

29 March 2007 Computer aided classification of cell nuclei in the gastrointestinal tract by volume and principal axis

Ann M. Sagstetter, Jon J. Camp, Matthew S. Lurken, Joseph H. Szurszewski, Gianrico Farrugia M.D., Simon J. Gibbons, Richard A. Robb

Author Affiliations +

Proceedings Volume 6514, Medical Imaging 2007: Computer-Aided Diagnosis; 65140E (2007) https://doi.org/10.1117/12.710274
Event: Medical Imaging, 2007, San Diego, CA, United States

Abstract

Normal function of the gastrointestinal tract involves the coordinated activity of several cell types Human disorders of motor function of the gastrointestinal tract are often associated with changes in the number of these cells. For example, in diabetic patients, abnormalities in gastrointestinal transit are associated with changes in nerves and interstitial cells of Cajal (ICC), two key cells that generate and regulate motility. ICC are cells of mesenchymal origin that function as pacemakers and amplify neuronal signals in the gastrointestinal tract. Quantifying the changes in number of specific cell types in tissues from patients with motility disorders is challenging and requires immunolabeling for specific antigens. The shape of nuclei differs between the cell types in the wall of the gastrointestinal tract. Therefore the objective of this study was to determine whether cell nuclei can be classified by analyzing the 3D morphology of the nuclei. Furthermore, the orientation of the long axis of nuclei changes within and between the muscle layers. These features can be used to classify and differentially label the nuclei in confocal volume images of the tissue by computing the principal axis of the coordinates of the set of voxels forming each nucleus and thereby to identify cells by their nuclear morphology. Using this approach, we were able to separate and quantify nuclei in the smooth muscle layers of the tissue. Therefore we conclude that computer-aided classification of cell nuclei can be used to identify changes in the cell types expressed in gastrointestinal smooth muscle.

Citation Download Citation

Ann M. Sagstetter, Jon J. Camp, Matthew S. Lurken, Joseph H. Szurszewski, Gianrico Farrugia M.D., Simon J. Gibbons, and Richard A. Robb "Computer aided classification of cell nuclei in the gastrointestinal tract by volume and principal axis", Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140E (29 March 2007); https://doi.org/10.1117/12.710274

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available