Back to Search
Start Over
Efficient 3D multi-region prostate MRI segmentation using dual optimization.
- Source :
-
Information processing in medical imaging : proceedings of the ... conference [Inf Process Med Imaging] 2013; Vol. 23, pp. 304-15. - Publication Year :
- 2013
-
Abstract
- Efficient and accurate extraction of the prostate, in particular its clinically meaningful sub-regions from 3D MR images, is of great interest in image-guided prostate interventions and diagnosis of prostate cancer. In this work, we propose a novel multi-region segmentation approach to simultaneously locating the boundaries of the prostate and its two major sub-regions: the central gland and the peripheral zone. The proposed method utilizes the prior knowledge of the spatial region consistency and employs a customized prostate appearance model to simultaneously segment multiple clinically meaningful regions. We solve the resulted challenging combinatorial optimization problem by means of convex relaxation, for which we introduce a novel spatially continuous flow-maximization model and demonstrate its duality to the investigated convex relaxed optimization problem with the region consistency constraint. Moreover, the proposed continuous max-flow model naturally leads to a new and efficient continuous max-flow based algorithm, which enjoys great advantages in numerics and can be readily implemented on GPUs. Experiments using 15 T2-weighted 3D prostate MR images, by inter- and intra-operator variability, demonstrate the promising performance of the proposed approach.
- Subjects :
- Humans
Image Enhancement methods
Male
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Artificial Intelligence
Image Interpretation, Computer-Assisted methods
Imaging, Three-Dimensional methods
Magnetic Resonance Imaging methods
Pattern Recognition, Automated methods
Prostatic Neoplasms pathology
Subjects
Details
- Language :
- English
- ISSN :
- 1011-2499
- Volume :
- 23
- Database :
- MEDLINE
- Journal :
- Information processing in medical imaging : proceedings of the ... conference
- Publication Type :
- Academic Journal
- Accession number :
- 24683978
- Full Text :
- https://doi.org/10.1007/978-3-642-38868-2_26