By Topic

Characteristics measurement for blood vessels diseases detection based on cone-beam CT images

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Kawata, Y. ; Dept. of Opt. Sci., Tokushima Univ., Japan ; Niki, N. ; Kumazaki, T.

This paper describes characteristics measurement for blood vessels diseases detection based on high-resolution 3D blood vessel images obtained by cone-beam CT. The important objective here is to show how the representation of blood vessel morphology can lead to feature measurement and identification of abnormal regions. In our method, the blood vessel structures are extracted by a graph description of blood vessel centerlines and surfaces representation using curvatures. The measurements of the anatomical information, such as the blood vessel's orientation, cross-sectional area, surface shapes, and abnormal regions volumes, are based on the structure description. In order to alert the doctor's attention to the location of the blood vessel's abnormality, we attempt to enhance the difference between malformed and normal shapes using the measured blood vessel characteristics. In this paper, we focus on a method based on surfaces representation and we present examples of cone-beam CT images of a patient's blood vessels

Published in:

Nuclear Science Symposium and Medical Imaging Conference Record, 1995., 1995 IEEE  (Volume:3 )

Date of Conference:

21-28 Oct 1995