Name
Title | ||
|---|---|---|
Prostate segmentation: an efficient convex optimization approach with axial symmetry using 3-D TRUS and MR images. |
Abstract | ||
|---|---|---|
We propose a novel global optimization-based approach to segmentation of 3-D prostate transrectal ultrasound (TRUS) and T2 weighted magnetic resonance (MR) images, enforcing inherent axial symmetry of prostate shapes to simultaneously adjust a series of 2-D slice-wise segmentations in a "global" 3-D sense. We show that the introduced challenging combinatorial optimization problem can be solved globally and exactly by means of convex relaxation. In this regard, we propose a novel coherent continuous max-flow model (CCMFM), which derives a new and efficient duality-based algorithm, leading to a GPU-based implementation to achieve high computational speeds. Experiments with 25 3-D TRUS images and 30 3-D T2w MR images from our dataset, and 50 3-D T2w MR images from a public dataset, demonstrate that the proposed approach can segment a 3-D prostate TRUS/MR image within 5-6 s including 4-5 s for initialization, yielding a mean Dice similarity coefficient of 93.2%±2.0% for 3-D TRUS images and 88.5%±3.5% for 3-D MR images. The proposed method also yields relatively low intra- and inter-observer variability introduced by user manual initialization, suggesting a high reproducibility, independent of observers. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/TMI.2014.2300694 | IEEE Trans. Med. Imaging |
Keywords | Field | DocType |
optimisation,ccmfm,2-d slice-wise segmentations,dice similarity coefficient,interobserver variability,three-dimensional (3-d) prostate transrectal ultrasound (trus),coherent continuous max-flow model,3d prostate transrectal ultrasound images,duality-based algorithm,inherent axial symmetry,prostate segmentation,image segmentation,intraobserver variability,graphics processing units,3d prostate trus-mr image,biomedical ultrasonics,combinatorial optimization problem,biomedical mri,three-dimensional (3-d) prostate magnetic resonance imaging (mri),eflicient convex optimization approach,global optimization-based approach,rotational symmetry,convex relaxation,duality (mathematics),axial symmetry,convex optimization,global 3-d sense,medical image processing,gpu-based implementation,t2 weighted magnetic resonance images,silicon,shape,duality mathematics,imaging,optimization | Computer vision,Mathematical optimization,Global optimization,Segmentation,Duality (mathematics),Axial symmetry,Image segmentation,Duality (optimization),Artificial intelligence,Initialization,Convex optimization,Mathematics | Journal |
Volume | Issue | ISSN |
33 | 4 | 1558-254X |
Citations | PageRank | References |
26 | 0.86 | 16 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wu Qiu | 1 | 203 | 18.54 |
| Jing Yuan | 2 | 372 | 23.02 |
| Eranga Ukwatta | 3 | 154 | 18.10 |
| Yue Sun | 4 | 26 | 0.86 |
| Martin Rajchl | 5 | 421 | 34.67 |
| Aaron Fenster | 6 | 106 | 8.46 |