Medical Image Segmentation and Localization using Deformable Templates

Details Medical Image Segmentation and Localization using Deformable Templates Medical Image Segmentation and Localization using Deformable Templates

2007-05-06

arxiv.org/abs/0705.0781v1

Computer Science

Computer Vision and Pattern Recognition

4 pages

Scientific paper

This paper presents deformable templates as a tool for segmentation and localization of biological structures in medical images. Structures are represented by a prototype template, combined with a parametric warp mapping used to deform the original shape. The localization procedure is achieved using a multi-stage, multi-resolution algorithm de-signed to reduce computational complexity and time. The algorithm initially identifies regions in the image most likely to contain the desired objects and then examines these regions at progressively increasing resolutions. The final stage of the algorithm involves warping the prototype template to match the localized objects. The algorithm is presented along with the results of four example applications using MRI, x-ray and ultrasound images.

Affiliated with

Also associated with

No associations

Rating

Medical Image Segmentation and Localization using Deformable Templates does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.

If you have personal experience with Medical Image Segmentation and Localization using Deformable Templates, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Medical Image Segmentation and Localization using Deformable Templates will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFWR-SCP-O-111034