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Purpose: To achieve effective robot-assisted laparoscopic prostatectomy, the integration of transrectal ultrasound (TRUS) imaging system which is the most widely used imaging modelity in prostate imaging is essential. However, manual…

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…

图像与视频处理 · 电气工程与系统科学 2024-10-08 Haiqiao Wang , Hong Wu , Zhuoyuan Wang , Peiyan Yue , Dong Ni , Pheng-Ann Heng , Yi Wang

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…

其他计算机科学 · 计算机科学 2009-10-01 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

Objective: Mapping of transrectal ultrasonographic (TRUS) prostate biopsies is of fundamental importance for either diagnostic purposes or the management and treatment of prostate cancer, but the localization of the cores seems inaccurate.…

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…

图像与视频处理 · 电气工程与系统科学 2021-06-18 Golnoosh Samei , Davood Karimi , Claudia Kesch , Septimiu Salcudean

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…

计算机视觉与模式识别 · 计算机科学 2019-03-22 M. S. Hossain , A. P. Paplinski , J. M. Betts

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…

其他计算机科学 · 计算机科学 2008-01-28 Pierre Mozer , Michael Baumann , G. Chevreau , Vincent Daanen , Alexandre Moreau-Gaudry , 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…

计算机视觉与模式识别 · 计算机科学 2018-10-16 Grant Haskins , Jochen Kruecker , Uwe Kruger , Sheng Xu , Peter A. Pinto , Brad J. Wood , Pingkun Yan

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…

计算机视觉与模式识别 · 计算机科学 2009-10-01 Robert Sheng Xu , Oleg Michailovich , Magdy Salama

Purpose: Trans-oral robotic surgery (TORS) using the da Vinci surgical robot is a new minimally-invasive surgery method to treat oropharyngeal tumors, but it is a challenging operation. Augmented reality (AR) based on intra-operative…

Prostate cancer is a leading health concern among men, requiring accurate and accessible methods for early detection and risk stratification. Prostate volume (PV) is a key parameter in multivariate risk stratification for early prostate…

图像与视频处理 · 电气工程与系统科学 2025-02-13 Tiziano Natali , Liza M. Kurucz , Matteo Fusaglia , Laura S. Mertens , Theo J. M. Ruers , Pim J. van Leeuwen , Behdad Dashtbozorg

Robust and accurate alignment of multimodal medical images is a very challenging task, which however is very useful for many clinical applications. For example, magnetic resonance (MR) and transrectal ultrasound (TRUS) image registration is…

计算机视觉与模式识别 · 计算机科学 2018-10-03 Pingkun Yan , Sheng Xu , Ardeshir R. Rastinehad , Brad J. Wood

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…

其他计算机科学 · 计算机科学 2008-01-17 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

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…

While deep learning methods have shown great promise in improving the effectiveness of prostate cancer (PCa) diagnosis by detecting suspicious lesions from trans-rectal ultrasound (TRUS), they must overcome multiple simultaneous challenges.…

Fusing intra-operative 2D transrectal ultrasound (TRUS) image with pre-operative 3D magnetic resonance (MR) volume to guide prostate biopsy can significantly increase the yield. However, such a multimodal 2D/3D registration problem is a…

图像与视频处理 · 电气工程与系统科学 2021-07-15 Hengtao Guo , Xuanang Xu , Sheng Xu , Bradford J. Wood , Pingkun Yan

Autonomous robotic ultrasound System (RUSS) has been extensively studied. However, fully automated ultrasound image acquisition is still challenging, partly due to the lack of study in combining two phases of path planning: guiding the…

机器人学 · 计算机科学 2023-10-24 David Liu , Jerome Charton , Xiang Li , Quanzheng Li

The diagnosis of prostate cancer increasingly depends on multimodal imaging, particularly magnetic resonance imaging (MRI) and transrectal ultrasound (TRUS). However, accurate registration between these modalities remains a fundamental…

图像与视频处理 · 电气工程与系统科学 2025-06-03 Xudong Ma , Nantheera Anantrasirichai , Stefanos Bolomytis , Alin Achim

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…

计算机视觉与模式识别 · 计算机科学 2011-07-11 Michael Baumann , Pierre Mozer , Vincent Daanen , Jocelyne Troccaz

Automatic prostate segmentation in transrectal ultrasound (TRUS) images is of essential importance for image-guided prostate interventions and treatment planning. However, developing such automatic solutions remains very challenging due to…

图像与视频处理 · 电气工程与系统科学 2024-03-05 Yi Wang , Haoran Dou , Xiaowei Hu , Lei Zhu , Xin Yang , Ming Xu , Jing Qin , Pheng-Ann Heng , Tianfu Wang , Dong Ni
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