Literature DB >> 22255634

Bladder segmentation in MRI images using active region growing model.

Carole Garnier1, Wu Ke, Jean-Louis Dillenseger.   

Abstract

Prostate segmentation in MRI may be difficult at the interface with the bladder where the contrast is poor. Coupled-models that segment simultaneously both organs with non-overlapping constraints offer a good solution. As a pre-segmentation of the structures of interest is required, we propose in this paper a fast deformable model to segment the bladder. The combination of inflation and internal forces, locally adapted according to the gray levels, allow to deform the mesh toward the boundaries while overcoming the leakage issues that can occur at weak edges. The algorithm, evaluated on 33 MRI volumes from 5 different devices, has shown good performance providing a smooth and accurate surface.

Mesh:

Year:  2011        PMID: 22255634      PMCID: PMC3566550          DOI: 10.1109/IEMBS.2011.6091380

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  7 in total

1.  Prostate boundary segmentation from 2D ultrasound images.

Authors:  H M Ladak; F Mao; Y Wang; D B Downey; D A Steinman; A Fenster
Journal:  Med Phys       Date:  2000-08       Impact factor: 4.071

2.  Prostate boundary segmentation from 3D ultrasound images.

Authors:  Ning Hu; Dónal B Downey; Aaron Fenster; Hanif M Ladak
Journal:  Med Phys       Date:  2003-07       Impact factor: 4.071

3.  Graph search with appearance and shape information for 3-D prostate and bladder segmentation.

Authors:  Qi Song; Yinxiao Liu; Yunlong Liu; Punam K Saha; Milan Sonka; Xiaodong Wu
Journal:  Med Image Comput Comput Assist Interv       Date:  2010

4.  Automatic segmentation of bladder and prostate using coupled 3D deformable models.

Authors:  María Jimena Costa; Hervé Delingette; Sébastien Novellas; Nicholas Ayache
Journal:  Med Image Comput Comput Assist Interv       Date:  2007

5.  A discrete dynamic contour model.

Authors:  S Lobregt; M A Viergever
Journal:  IEEE Trans Med Imaging       Date:  1995       Impact factor: 10.048

6.  A coupled level set framework for bladder wall segmentation with application to MR cystography.

Authors:  Chaijie Duan; Zhengrong Liang; Shangliang Bao; Hongbin Zhu; Su Wang; Guangxiang Zhang; John J Chen; Hongbing Lu
Journal:  IEEE Trans Med Imaging       Date:  2010-03       Impact factor: 10.048

7.  Automatic segmentation of pelvic structures from magnetic resonance images for prostate cancer radiotherapy.

Authors:  David Pasquier; Thomas Lacornerie; Maximilien Vermandel; Jean Rousseau; Eric Lartigau; Nacim Betrouni
Journal:  Int J Radiat Oncol Biol Phys       Date:  2007-06-01       Impact factor: 7.038

  7 in total
  2 in total

1.  A Potential Application of Dynamic Contrast-Enhanced Magnetic Resonance Imaging Combined with Photodynamic Diagnosis for the Detection of Bladder Carcinoma in Situ: Toward the Future 'MRI-PDD Fusion TURBT'.

Authors:  Makito Miyake; Fumisato Maesaka; Nagaaki Marugami; Tatsuki Miyamoto; Yasushi Nakai; Sayuri Ohnishi; Daisuke Gotoh; Takuya Owari; Shunta Hori; Yosuke Morizawa; Yoshitaka Itami; Takeshi Inoue; Satoshi Anai; Kazumasa Torimoto; Tomomi Fujii; Keiji Shimada; Nobumichi Tanaka; Kiyohide Fujimoto
Journal:  Diagnostics (Basel)       Date:  2019-09-04

Review 2.  Study Progress of Noninvasive Imaging and Radiomics for Decoding the Phenotypes and Recurrence Risk of Bladder Cancer.

Authors:  Xiaopan Xu; Huanjun Wang; Yan Guo; Xi Zhang; Baojuan Li; Peng Du; Yang Liu; Hongbing Lu
Journal:  Front Oncol       Date:  2021-07-15       Impact factor: 6.244

  2 in total

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