Rotational-slice-Based prostate segmentation using level set with shape constraint for 3D end-firing TRUS guided biopsy
Prostate segmentation in 3D ultrasound images is an important step in the planning and treatment of 3D end-firing transrectal ultrasound (TRUS) guided prostate biopsy. A semi-automatic prostate segmentation method is presented in this paper, which integrates a modified distance regularization level set formulation with shape constraint to a rotational-slice-based 3D prostate segmentation method. Its performance, using different metrics, has been evaluated on a set of twenty 3D patient prostate images by comparison with expert delineations. The volume overlap ratio of 93.39 +/- 1.26% and the mean absolute surface distance of 1.16 +/- 0.34 mm were found in the quantitative validation result.
| Medienart: |
Artikel |
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| Erscheinungsjahr: |
2012 |
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| Erschienen: |
2012 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:15 |
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| Enthalten in: |
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention - 15(2012), Pt 1 vom: 31., Seite 537-44 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Qiu, Wu [VerfasserIn] |
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| Themen: |
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| Anmerkungen: |
Date Completed 22.01.2013 Date Revised 07.09.2019 published: Print Citation Status MEDLINE |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM223875988 |
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| 245 | 1 | 0 | |a Rotational-slice-Based prostate segmentation using level set with shape constraint for 3D end-firing TRUS guided biopsy |
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| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Prostate segmentation in 3D ultrasound images is an important step in the planning and treatment of 3D end-firing transrectal ultrasound (TRUS) guided prostate biopsy. A semi-automatic prostate segmentation method is presented in this paper, which integrates a modified distance regularization level set formulation with shape constraint to a rotational-slice-based 3D prostate segmentation method. Its performance, using different metrics, has been evaluated on a set of twenty 3D patient prostate images by comparison with expert delineations. The volume overlap ratio of 93.39 +/- 1.26% and the mean absolute surface distance of 1.16 +/- 0.34 mm were found in the quantitative validation result | ||
| 650 | 4 | |a Journal Article | |
| 700 | 1 | |a Yuan, Jing |e verfasserin |4 aut | |
| 700 | 1 | |a Ukwatta, Eranga |e verfasserin |4 aut | |
| 700 | 1 | |a Tessier, David |e verfasserin |4 aut | |
| 700 | 1 | |a Fenster, Aaron |e verfasserin |4 aut | |
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