English
Related papers

Related papers: Mapping of transrectal ultrasonographic prostate b…

200 papers

Prostate biopsies are mainly performed under 2D TransRectal UltraSound (TRUS) control by sampling the prostate according to a predefined pattern. In case of first biopsies, this pattern follows a random systematic plan. Sometimes, repeat…

Other Computer Science · Computer Science 2008-01-28 Pierre Mozer , Michael Baumann , G. Chevreau , Vincent Daanen , Alexandre Moreau-Gaudry , Jocelyne Troccaz

Transrectal biopsies under 2D ultrasound (US) control are the current clinical standard for prostate cancer diagnosis. The isoechogenic nature of prostate carcinoma makes it necessary to sample the gland systematically, resulting in a low…

Computer Vision and Pattern Recognition · Computer Science 2011-07-11 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

The emergence of real-time 3D ultrasound (US) makes it possible to consider image-based tracking of subcutaneous soft tissue targets for computer guided diagnosis and therapy. We propose a 3D transrectal US based tracking system for precise…

Other Computer Science · Computer Science 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

OBJECTIVE: This study evaluated the accuracy in localisation and distribution of real-time three-dimensional (4-D) ultrasound-guided biopsies on a prostate phantom. METHODS: A prostate phantom was created. A three-dimensional real-time…

The size and geometry of the prostate are known to be pivotal quantities used by clinicians to assess the condition of the gland during prostate cancer screening. As an alternative to palpation, an increasing number of methods for…

Computer Vision and Pattern Recognition · Computer Science 2009-10-01 Robert Sheng Xu , Oleg Michailovich , Magdy Salama

BACKGROUND: Prostate brachytherapy consists in placing radioactive seeds for tumour destruction under transrectal ultrasound imaging (TRUS) control. It requires prostate delineation from the images for dose planning. Because ultrasound…

Other Computer Science · Computer Science 2007-12-14 V. Daanen , J. Gastaldo , J. Y. Giraud , P. Fourneret , J. L. Descotes , M. Bolla , D. Collomb , Jocelyne Troccaz

Medical imaging based prostate cancer diagnosis procedure uses intra-operative transrectal ultrasound (TRUS) imaging to visualize the prostate shape and location to collect tissue samples. Correct tissue sampling from prostate requires…

Computer Vision and Pattern Recognition · Computer Science 2019-03-22 M. S. Hossain , A. P. Paplinski , J. M. Betts

Computer-assisted prostate biopsies became a very active research area during the last years. Prostate tracking makes it possi- ble to overcome several drawbacks of the current standard transrectal ultrasound (TRUS) biopsy procedure, namely…

Other Computer Science · Computer Science 2009-10-01 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

Purpose: The fusion of transrectal ultrasound (TRUS) and magnetic resonance (MR) images for guiding targeted prostate biopsy has significantly improved the biopsy yield of aggressive cancers. A key component of MR-TRUS fusion is image…

Computer Vision and Pattern Recognition · Computer Science 2018-10-16 Grant Haskins , Jochen Kruecker , Uwe Kruger , Sheng Xu , Peter A. Pinto , Brad J. Wood , Pingkun Yan

Effective transperineal ultrasound image guidance in prostate external beam radiotherapy requires consistent alignment between probe and prostate at each session during patient set-up. Probe placement and ultrasound image inter-pretation…

Computer Vision and Pattern Recognition · Computer Science 2020-10-07 Alexander Grimwood , Helen McNair , Yipeng Hu , Ester Bonmati , Dean Barratt , Emma Harris

Prostate cancer (PCa) poses a significant threat to men's health, with early diagnosis being crucial for improving prognosis and reducing mortality rates. Transrectal ultrasound (TRUS) plays a vital role in the diagnosis and image-guided…

Image and Video Processing · Electrical Eng. & Systems 2024-10-08 Haiqiao Wang , Hong Wu , Zhuoyuan Wang , Peiyan Yue , Dong Ni , Pheng-Ann Heng , Yi Wang

In this work we propose to segment the prostate on a challenging dataset of trans-rectal ultrasound (TRUS) images using convolutional neural networks (CNNs) and statistical shape models (SSMs). TRUS is commonly used for a number of…

Image and Video Processing · Electrical Eng. & Systems 2021-06-18 Golnoosh Samei , Davood Karimi , Claudia Kesch , Septimiu Salcudean

Background: Transrectal ultrasound guided systematic biopsies of the prostate is a routine procedure to establish a prostate cancer diagnosis. However, the 10-12 prostate core biopsies only sample a relatively small volume of the prostate,…

Image and Video Processing · Electrical Eng. & Systems 2022-04-20 Bojing Liu , Yinxi Wang , Philippe Weitz , Johan Lindberg , Johan Hartman , Lars Egevad , Henrik Grönberg , Martin Eklund , Mattias Rantalainen

Interpreting traditional B-mode ultrasound images can be challenging due to image artifacts (e.g., shadowing, speckle), leading to low sensitivity and limited diagnostic accuracy. While Magnetic Resonance Imaging (MRI) has been proposed as…

Prostate cancer is a major cause of cancer-related deaths in men, where early detection greatly improves survival rates. Although MRI-TRUS fusion biopsy offers superior accuracy by combining MRI's detailed visualization with TRUS's…

Real-time transrectal ultrasound (TRUS) image guidance during robot-assisted laparoscopic radical prostatectomy has the potential to enhance surgery outcomes. Whether conventional or photoacoustic TRUS is used, the robotic system and the…

Robotics · Computer Science 2023-07-21 Zijian Wu , Hamid Moradi , Shuojue Yang , Hyunwoo Song , Emad M. Boctor , Septimiu E. Salcudean

This paper describes a learning environment for image-guided prostate biopsies in cancer diagnosis; it is based on an ultrasound probe simulator virtually exploring real datasets obtained from patients. The aim is to make the training of…

Other Computer Science · Computer Science 2010-11-10 Janssoone Thomas , Grégoire Chevreau , Lucile Vadcard , Pierre Mozer , Jocelyne Troccaz

Pre-biopsy magnetic resonance imaging (MRI) is increasingly used to target suspicious prostate lesions. This has led to artificial intelligence (AI) applications improving MRI-based detection of clinically significant prostate cancer…

Image and Video Processing · Electrical Eng. & Systems 2025-02-04 Hassan Jahanandish , Shengtian Sang , Cynthia Xinran Li , Sulaiman Vesal , Indrani Bhattacharya , Jeong Hoon Lee , Richard Fan , Geoffrey A. Sonna , Mirabela Rusu

MOTIVATION: Detection of prostate cancer during transrectal ultrasound-guided biopsy is challenging. The highly heterogeneous appearance of cancer, presence of ultrasound artefacts, and noise all contribute to these difficulties. Recent…

Image and Video Processing · Electrical Eng. & Systems 2022-07-22 Mahdi Gilany , Paul Wilson , Amoon Jamzad , Fahimeh Fooladgar , Minh Nguyen Nhat To , Brian Wodlinger , Purang Abolmaesumi , Parvin Mousavi

Prostate cancer is the most common noncutaneous cancer in the world. Recently, multi-modality transrectal ultrasound (TRUS) has increasingly become an effective tool for the guidance of prostate biopsies. With the aim of effectively…

Image and Video Processing · Electrical Eng. & Systems 2024-02-20 Hong Wu , Juan Fu , Hongsheng Ye , Yuming Zhong , Xuebin Zhou , Jianhua Zhou , Yi Wang
‹ Prev 1 2 3 10 Next ›