Conference proceeding
Electric field theory based approach to search-direction line definition in image segmentation: application to optimal femur-tibia cartilage segmentation in knee-joint 3-D MR
Proceedings of SPIE, Vol.7623(1), pp.76230W-76230W-9
Medical Imaging 2010: Image Processing
03/05/2010
DOI: 10.1117/12.844573
Abstract
A novel method is presented for definition of search lines in a variety of surface segmentation approaches. The
method is inspired by properties of electric field direction lines and is applicable to general-purpose n-D shapebased
image segmentation tasks. Its utility is demonstrated in graph construction and optimal segmentation of
multiple mutually interacting objects. The properties of the electric field-based graph construction guarantee
that inter-object graph connecting lines are non-intersecting and inherently covering the entire object-interaction
space. When applied to inter-object cross-surface mapping, our approach generates one-to-one and all-to-all
vertex correspondent pairs between the regions of mutual interaction. We demonstrate the benefits of the electric
field approach in several examples ranging from relatively simple single-surface segmentation to complex multiobject
multi-surface segmentation of femur-tibia cartilage. The performance of our approach is demonstrated in
60 MR images from the Osteoarthritis Initiative (OAI), in which our approach achieved a very good performance
as judged by surface positioning errors (average of 0.29 and 0.59
for signed and unsigned cartilage positioning
errors, respectively).
Details
- Title: Subtitle
- Electric field theory based approach to search-direction line definition in image segmentation: application to optimal femur-tibia cartilage segmentation in knee-joint 3-D MR
- Creators
- Y Yin - University of IowaM Sonka - University of Iowa
- Resource Type
- Conference proceeding
- Publication Details
- Proceedings of SPIE, Vol.7623(1), pp.76230W-76230W-9
- Conference
- Medical Imaging 2010: Image Processing
- DOI
- 10.1117/12.844573
- ISSN
- 0277-786X
- Language
- English
- Date published
- 03/05/2010
- Academic Unit
- Roy J. Carver Department of Biomedical Engineering; Electrical and Computer Engineering; Radiation Oncology; Fraternal Order of Eagles Diabetes Research Center; Injury Prevention Research Center; Ophthalmology and Visual Sciences
- Record Identifier
- 9984186705102771
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