DocumentCode
1647696
Title
Organ localization through anatomy-aware non-rigid registration with atlas
Author
Ranjan, Sohan R.
Author_Institution
Med. Image Anal. Lab., John F Welch Technol. Centre, Bangalore, India
fYear
2011
Firstpage
1
Lastpage
5
Abstract
Automated organ localization in medical images can be very effective in enhancing a radiologist´s productivity through smarter workflow design and reporting tools. In this paper, we present an algorithm for organ localization in an image through registration with an atlas data. The challenge comes from supporting non-rigid registration of multi-modality inter-patient data. The proposed solution is an extension of blob-based nonrigid registration framework for multi-modality registration. Blob-based framework is a fast non-rigid registration approach providing flexibility of constraints across different image regions or blobs, and which facilitates controlling topological changes inside blobs. An important step in this framework is defining right blobs for a good inter-patient registration. We describe solution to choosing the right blobs through body region identification for acceptable organ localization.
Keywords
diagnostic radiography; image registration; medical image processing; anatomy-aware nonrigid registration; atlas data registration; blob-based nonrigid registration framework; interpatient registration; medical image; multimodality interpatient data; multimodality registration; organ localization; radiologist productivity; reporting tool; smarter workflow design; Biomedical imaging; Body regions; Bones; Computed tomography; Image registration; Interpolation; Transforms; image registration; organ localization;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Imagery Pattern Recognition Workshop (AIPR), 2011 IEEE
Conference_Location
Washington, DC
ISSN
1550-5219
Print_ISBN
978-1-4673-0215-9
Type
conf
DOI
10.1109/AIPR.2011.6176345
Filename
6176345
Link To Document