A registration-based segmentation method with application to adiposity analysis of mice microCT images

Bing Bai; Anand Joshi; Sebastian Brandhorst; Valter D. Longo; Peter S. Conti; Richard M. Leahy

doi:10.1117/12.2043744

9 April 2014 A registration-based segmentation method with application to adiposity analysis of mice microCT images

Bing Bai, Anand Joshi, Sebastian Brandhorst, Valter D. Longo, Peter S. Conti, Richard M. Leahy

Author Affiliations +

Proceedings Volume 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging; 903823 (2014) https://doi.org/10.1117/12.2043744
Event: SPIE Medical Imaging, 2014, San Diego, California, United States

Abstract

Obesity is a global health problem, particularly in the U.S. where one third of adults are obese. A reliable and accurate method of quantifying obesity is necessary. Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) are two measures of obesity that reflect different associated health risks, but accurate measurements in humans or rodent models are difficult. In this paper we present an automatic, registration-based segmentation method for mouse adiposity studies using microCT images. We co-register the subject CT image and a mouse CT atlas. Our method is based on surface matching of the microCT image and an atlas. Surface-based elastic volume warping is used to match the internal anatomy. We acquired a whole body scan of a C57BL6/J mouse injected with contrast agent using microCT and created a whole body mouse atlas by manually delineate the boundaries of the mouse and major organs. For method verification we scanned a C57BL6/J mouse from the base of the skull to the distal tibia. We registered the obtained mouse CT image to our atlas. Preliminary results show that we can warp the atlas image to match the posture and shape of the subject CT image, which has significant differences from the atlas. We plan to use this software tool in longitudinal obesity studies using mouse models.

Citation Download Citation

Bing Bai, Bing Bai, Anand Joshi, Anand Joshi, Sebastian Brandhorst, Sebastian Brandhorst, Valter D. Longo, Valter D. Longo, Peter S. Conti, Peter S. Conti, Richard M. Leahy, Richard M. Leahy, "A registration-based segmentation method with application to adiposity analysis of mice microCT images", Proc. SPIE 9038, Medical Imaging 2014: Biomedical Applications in Molecular, Structural, and Functional Imaging, 903823 (9 April 2014); doi: 10.1117/12.2043744; https://doi.org/10.1117/12.2043744

ACCESS THE FULL ARTICLE

PERSONAL SIGN IN
Full access may be available with your subscription

Email or Username Forgot your username?

Password Forgot your password?

Show

Remember Email/Username on this computer

Remember Password

No SPIE account? Create an account
or Institutional Sign In via Shibboleth

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

Members: $14.40

Non-members: $18.00 ADD TO CART

Show All Keywords

Keywords/Phrases

Search In:

Publication Years