DocumentCode
2098328
Title
Establishing spatial correspondence for the analysis of images from highly deforming anatomy
Author
Hawkes, D.J. ; Mertzanidou, T. ; Hipwell, J. ; Atkinson, David ; Roth, H. ; Hampshire, T. ; McClelland, Jabez
Author_Institution
Centre for Med. Image Comput. (CMIC), UCL, London, UK
fYear
2012
fDate
Aug. 28 2012-Sept. 1 2012
Firstpage
3732
Lastpage
3735
Abstract
This invited presentation summarizes recent advances in the incorporation of knowledge of the geometry, tissue mechanical properties and imaging characteristics in establishing spatial correspondence between multiple images of highly deforming, soft tissue structures. Spatial correspondence is used to aid diagnosis and in the extraction of quantitative parameters for disease detection, monitoring disease progression and assessing therapeutic response. The work is illustrated through clinical examples of multi-modal imaging of the breast, assessment of small bowel motility and polyp detection in the large bowel.
Keywords
biological tissues; biomechanics; biomedical MRI; deformation; diseases; feature extraction; mammography; medical image processing; patient monitoring; MRI; X-ray mammogram; bowel motility; disease detection; disease diagnosis; disease progression monitoring; feature extraction; highly deforming anatomy; image analysis; imaging characteristics; multimodal breast imaging; polyp detection; quantitative parameters; soft tissue structures; spatial correspondence; therapeutic response assessment; tissue mechanical properties; Breast; Colon; Computed tomography; Deformable models; Magnetic resonance imaging; X-ray imaging; Breast; Colonoscopy; Crohn Disease; Female; Gastrointestinal Motility; Humans; Image Processing, Computer-Assisted; Intestinal Polyps; Intestine, Small; Magnetic Resonance Imaging; Mammography; Organ Specificity; Prone Position; Supine Position; Tomography, X-Ray Computed;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE
Conference_Location
San Diego, CA
ISSN
1557-170X
Print_ISBN
978-1-4244-4119-8
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/EMBC.2012.6346778
Filename
6346778
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