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Probabilistic Edge Map (PEM) for 3D Ultrasound Image Registration and Multi-atlas Left Ventricle Segmentation
- Source :
- Functional Imaging and Modeling of the Heart ISBN: 9783319203089, FIMH
- Publication Year :
- 2015
- Publisher :
- Springer International Publishing, 2015.
-
Abstract
- Automated left ventricle (LV) segmentation in 3D ultrasound (3D-US) remains a challenging research problem due to variable image quality and limited field-of-view. Modern segmentation approaches (shape, appearance and contour model based surface fitting) require an accurate initialization and good image boundary features to obtain reliable and consistent results. They are therefore not well suited for this problem. The proposed method overcomes those limitations with a novel and generic 3D-US image boundary representation technique: Probabilistic Edge Map (PEM). This new representation captures regularized and complete edge responses from standard 3D-US images. PEM is utilized in a multi-atlas LV segmentation framework to spatially align target and atlas images. Experiments on data from the MICCAI CETUS challenge show that the proposed approach is better suited for LV segmentation than the active contour, appearance and voxel classification approaches, achieving lower surface distance errors and better LV volume estimates.
- Subjects :
- Active contour model
medicine.diagnostic_test
business.industry
Image quality
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
Scale-space segmentation
Image registration
Image segmentation
computer.software_genre
Voxel
medicine
Computer vision
Segmentation
3D ultrasound
Artificial intelligence
business
computer
Mathematics
Subjects
Details
- ISBN :
- 978-3-319-20308-9
- ISBNs :
- 9783319203089
- Database :
- OpenAIRE
- Journal :
- Functional Imaging and Modeling of the Heart ISBN: 9783319203089, FIMH
- Accession number :
- edsair.doi...........7f8fe49b918e86e388419de4df330391