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相关论文: MR2US-Pro: Prostate MR to Ultrasound Image Transla…

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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…

Multimodal MR-US registration is critical for prostate cancer diagnosis. However, this task remains challenging due to significant modality discrepancies. Existing methods often fail to align critical boundaries while being overly sensitive…

计算机视觉与模式识别 · 计算机科学 2025-06-03 Xudong Ma , Nantheera Anantrasirichai , Stefanos Bolomytis , Alin Achim

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

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

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

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 cancer is a leading cause of cancer-related mortality in men. The registration of magnetic resonance (MR) and transrectal ultrasound (TRUS) can provide guidance for the targeted biopsy of prostate cancer. In this study, we propose…

图像与视频处理 · 电气工程与系统科学 2025-01-08 Zetian Feng , Dong Ni , Yi Wang

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…

图像与视频处理 · 电气工程与系统科学 2024-02-20 Hong Wu , Juan Fu , Hongsheng Ye , Yuming Zhong , Xuebin Zhou , Jianhua Zhou , Yi Wang

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

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

Radiological imaging of prostate is becoming more popular among researchers and clinicians in searching for diseases, primarily cancer. Scans might be acquired at different times, with patient movement between scans, or with different…

计算机视觉与模式识别 · 计算机科学 2013-11-05 Xin Zhao , Arie Kaufman

Prostate cancer is a highly prevalent cancer and ranks as the second leading cause of cancer-related deaths in men globally. Recently, the utilization of multi-modality transrectal ultrasound (TRUS) has gained significant traction as a…

图像与视频处理 · 电气工程与系统科学 2024-06-21 Hong Wu , Juan Fu , Hongsheng Ye , Yuming Zhong , Xuebin Zou , Jianhua Zhou , Yi Wang

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

Establishing reliable correspondences is crucial for all registration tasks, including 2D image registration, 3D point cloud registration, and 2D-3D image-to-point cloud registration. However, these tasks are often complicated by challenges…

计算机视觉与模式识别 · 计算机科学 2025-09-26 Qianliang Wu , Haobo Jiang , Yaqing Ding , Lei Luo , Jun Li , Jin Xie , Xiaojun Wu , Jian Yang

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

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

Prostate brachytherapy involves implanting radioactive seeds (I125 for instance) permanently in the gland for the treatment of localized prostate cancers, e.g., cT1c-T2a N0 M0 with good prognostic factors. Treatment planning and seed…

Ultrasound imaging is a cost-effective and radiation-free modality for visualizing anatomical structures in real-time, making it ideal for guiding surgical interventions. However, its limited field-of-view, speckle noise, and imaging…

图像与视频处理 · 电气工程与系统科学 2024-04-26 Remi Delaunay , Ruisi Zhang , Filipe C. Pedrosa , Navid Feizi , Dianne Sacco , Rajni Patel , Jayender Jagadeesan

Multimodal image registration between diffusion MRI (dMRI) and T1-weighted (T1w) MRI images is a critical step for aligning diffusion-weighted imaging (DWI) data with structural anatomical space. Traditional registration methods often…

图像与视频处理 · 电气工程与系统科学 2026-05-07 Xiaofan Wang , Junyi Wang , Yuqian Chen , Lauren J. O' Donnell , Fan Zhang
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