Prostate boundary detection and volume estimation using TRUS images for brachytherapy applications

被引:0
|
作者
Vladimir Misic
Varsha Sampath
Yan Yu
Eli Saber
机构
[1] Thomas Jefferson University,Medical Physics Division
[2] Rochester Institute of Technology,Electrical Engineering Department
关键词
Brachytherapy; Three-dimensional texture segmentation; Feature Extraction;
D O I
暂无
中图分类号
学科分类号
摘要
Objective: Authors propose a semi-automatic segmentation algorithm for three-dimensional prostate boundary detection from trans-rectal ultrasound images. As a part of brachytherapy treatment with seeds for early stage prostate cancer, a patient’s prostate is scanned using a trans-rectal ultrasound probe, its boundary is manually outlined, and its volume is estimated for dosimetry purposes. Proposed algorithm requires a reduced amount of radiologist’s input, and thus speeds up the surgical procedure.
引用
收藏
页码:87 / 98
页数:11
相关论文
共 50 条
  • [21] Pubic arch interference (PAI) assessment using transrectal ultrasound (TRUS) for prostate brachytherapy
    Pathak, SD
    Grimm, PD
    Estlund, J
    Chalana, V
    Haynor, DR
    Kim, Y
    RADIOLOGY, 1998, 209P : 209 - 209
  • [22] Modified Prostate Volume Algorithm Improves Transrectal US Volume Estimation in Men Presenting for Prostate Brachytherapy
    MacMahon, Peter J.
    Kennedy, Ann-Marie
    Murphy, Darra T.
    Maher, Michael
    McNicholas, Michelle M.
    RADIOLOGY, 2009, 250 (01) : 273 - 280
  • [23] Using a deep learning approach for implanted seed detection on fluoroscopy images in prostate brachytherapy
    Yuan, Andy
    Podder, Tarun
    Yuan, Jiankui
    Zheng, Yiran
    JOURNAL OF CONTEMPORARY BRACHYTHERAPY, 2023, 15 (01) : 69 - 74
  • [24] Prostate boundary detection from ultrasonographic images
    Shao, F
    Ling, KV
    Ng, WS
    Wu, RY
    JOURNAL OF ULTRASOUND IN MEDICINE, 2003, 22 (06) : 605 - 623
  • [25] Prostate boundary detection in transrectal ultrasound images
    Zhang, Y
    Qian, W
    Sankar, R
    2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING, 2005, : 617 - 620
  • [26] The impact of prostate volume on prostate cancer detection: Comparing MRI with TRUS in biopsy-naive men
    Jianjun, Y.
    Qiang, W.
    Yige, B.
    EUROPEAN UROLOGY, 2024, 85 : S1601 - S1601
  • [27] Toward Focal Prostate Brachytherapy-Transperineal TRUS-mpMRI Fusion Prostate Biopsy using Brachytherapy Treatment Planning Systems Only
    Dabkowski, M.
    Gruszczynska, E.
    Lewicki, A.
    Palucki, J.
    Durzynska, M.
    Szymanski, M.
    Kulik, A.
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2018, 102 (03): : E106 - E106
  • [28] Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images
    Yi, Weixi
    Stavrinides, Vasilis
    Baum, Zachary M. C.
    Yang, Qianye
    Barratt, Dean C.
    Clarkson, Matthew J.
    Hu, Yipeng
    Saeed, Shaheer U.
    MACHINE LEARNING IN MEDICAL IMAGING, MLMI 2023, PT I, 2024, 14348 : 277 - 288
  • [29] Simultaneous boundary and partial volume estimation in medical images
    Pham, DL
    Bazin, PL
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2004, PT 1, PROCEEDINGS, 2004, 3216 : 119 - 126
  • [30] Estimation of brachytherapy dose-volume parameters from projection images
    Rietveld, P.
    Kouwenhoven, E.
    Huizenga, L.
    Wiggenraad, R.
    RADIOTHERAPY AND ONCOLOGY, 2006, 81 : S256 - S256