Fast globally optimal segmentation of 3D prostate MRI with axial symmetry prior
We propose a novel global optimization approach to segmenting a given 3D prostate T2w magnetic resonance (MR) image, which enforces the inherent axial symmetry of the prostate shape and simultaneously performs a sequence of 2D axial slice-wise segmentations with a global 3D coherence prior. We show that the proposed challenging combinatorial optimization problem can be solved globally and exactly by means of convex relaxation. With this regard, we introduce a novel coupled continuous max-flow model, which is dual to the studied convex relaxed optimization formulation and leads to an efficient multiplier augmented algorithm based on the modern convex optimization theory. Moreover, the new continuous max-flow based algorithm was implemented on GPUs to achieve a substantial improvement in computation. Experimental results using public and in-house datasets demonstrate great advantages of the proposed method in terms of both accuracy and efficiency.
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2013 |
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| Erschienen: |
2013 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:16 |
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| Enthalten in: |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention - 16(2013), Pt 2 vom: 27., Seite 198-205 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Qiu, Wu [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 03.04.2014 Date Revised 07.09.2019 published: Print Citation Status MEDLINE |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM235940143 |
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| 245 | 1 | 0 | |a Fast globally optimal segmentation of 3D prostate MRI with axial symmetry prior |
| 264 | 1 | |c 2013 | |
| 336 | |a Text |b txt |2 rdacontent | ||
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| 500 | |a Date Completed 03.04.2014 | ||
| 500 | |a Date Revised 07.09.2019 | ||
| 500 | |a published: Print | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a We propose a novel global optimization approach to segmenting a given 3D prostate T2w magnetic resonance (MR) image, which enforces the inherent axial symmetry of the prostate shape and simultaneously performs a sequence of 2D axial slice-wise segmentations with a global 3D coherence prior. We show that the proposed challenging combinatorial optimization problem can be solved globally and exactly by means of convex relaxation. With this regard, we introduce a novel coupled continuous max-flow model, which is dual to the studied convex relaxed optimization formulation and leads to an efficient multiplier augmented algorithm based on the modern convex optimization theory. Moreover, the new continuous max-flow based algorithm was implemented on GPUs to achieve a substantial improvement in computation. Experimental results using public and in-house datasets demonstrate great advantages of the proposed method in terms of both accuracy and efficiency | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 700 | 1 | |a Yuan, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Ukwatta, Eranga |e verfasserin |4 aut | |
| 700 | 1 | |a Sun, Yue |e verfasserin |4 aut | |
| 700 | 1 | |a Rajchl, Martin |e verfasserin |4 aut | |
| 700 | 1 | |a Fenster, Aaron |e verfasserin |4 aut | |
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