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Related papers: Computer-assisted access to the kidney

200 papers

Deep needle insertion to a target often poses a huge challenge, requiring a combination of specialized skills, assistive technology, and extensive training. One of the frequently encountered medical scenarios demanding such expertise…

Computer Vision and Pattern Recognition · Computer Science 2023-10-02 Zhuoqi Cheng , Simon Lyck Bjært Sørensen , Mikkel Werge Olsen , René Lynge Eriksen , Thiusius Rajeeth Savarimuthu

A computer aided maxillofacial sequence is presented, applied to orthognatic surgery. It consists of 5 main stages: data acquisition and integration, surgical planning, surgical simulation, and per operative assistance. The planning and…

Medical Physics · Physics 2007-05-23 Matthieu Chabanas , Christophe Marecaux , Yohan Payan , Franck Boutault

The objective of this paper is to significantly reduce the manual workload required from medical professionals in complex 3D segmentation tasks that cannot be yet fully automated. For instance, in radiotherapy planning, organs at risk must…

Acute kidney injury (AKI) is a common and serious complication after a surgery which is associated with morbidity and mortality. The majority of existing perioperative AKI risk score prediction models are limited in their generalizability…

Computers and Society · Computer Science 2019-06-19 Lasith Adhikari , Tezcan Ozrazgat-Baslanti , Paul Thottakkara , Ashkan Ebadi , Amir Motaei , Parisa Rashidi , Xiaolin Li , Azra Bihorac

This paper aims to tackle the issues on unavailable or insufficient clinical US data and meaningful annotation to enable bone segmentation and registration for US-guided spinal surgery. While the US is not a standard paradigm for spinal…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Ang Li , Jiayi Han , Yongjian Zhao , Keyu Li , Li Liu

Improved surgical skill is generally associated with improved patient outcomes, although assessment is subjective; labour-intensive; and requires domain specific expertise. Automated data driven metrics can alleviate these difficulties, as…

Semantic image segmentation plays an important role in modeling patient-specific anatomy. We propose a convolution neural network, called Kid-Net, along with a training schema to segment kidney vessels: artery, vein and collecting system.…

Computer Vision and Pattern Recognition · Computer Science 2018-06-19 Ahmed Taha , Pechin Lo , Junning Li , Tao Zhao

During neurosurgical operations, surgeons can decide to acquire intraoperative data to better proceed with the removal of a tumor. A valid option is given by ultrasound (US) imaging, which can be easily obtained at subsequent surgical…

Image and Video Processing · Electrical Eng. & Systems 2020-01-13 Luca Canalini , Jan Klein , Dorothea Miller , Ron Kikinis

Under conventional "open-" surgery, the physician has to take care of the patient, interact with other clinicians and check several monitoring devices. Nowadays, the Computer Assisted Surgery proposes to integrate 3D cameras in the…

Medical Physics · Physics 2016-08-16 Jose Vázquez-Buenosaires , Yohan Payan , Jacques Demongeot

Automation in surgical robotics has the potential to improve patient safety and surgical efficiency, but it is difficult to achieve due to the need for robust perception algorithms. In particular, 6D pose estimation of surgical instruments…

Robotics · Computer Science 2025-01-24 Juan Antonio Barragan , Jintan Zhang , Haoying Zhou , Adnan Munawar , Peter Kazanzides

This paper describes the design, manufacture, and performance of a highly dexterous, low-profile, 7 Degree-of-Freedom (DOF) robotic arm for CT-guided percutaneous needle biopsy. Direct CT guidance allows physicians to localize tumours…

Robotics · Computer Science 2022-03-18 Dimitri A. Schreiber , Daniel B. Shak , Alexander M. Norbash , Michael C. Yip

The multi-modality imaging system offers optimal fused images for safe and precise interventions in modern clinical practices, such as computed tomography - ultrasound (CT-US) guidance for needle insertion. However, the limited dexterity…

Robotics · Computer Science 2025-02-18 Feng Li , Yuan Bi , Dianye Huang , Zhongliang Jiang , Nassir Navab

With the emergence of swept-volume ultrasound (US) probes, precise and almost real-time US volume imaging has become available. This offers many new opportunities for computer guided diagnosis and therapy, 3-D images containing…

Other Computer Science · Computer Science 2008-01-25 Michael Baumann , Vincent Daanen , Antoine Leroy , Jocelyne Troccaz

The author reviews the computer and robotic tools available to urologists to help in diagnosis and technical procedures. The first part concerns the contribution of robotics and presents several systems at various stages of development…

Other Computer Science · Computer Science 2007-12-21 Jocelyne Troccaz

[Objective] To develop a Computer-aided diagnosis (CAD) system for plane frontal hip X-rays with a deep learning model trained on a large dataset collected at multiple centers. [Materials and Methods]. We included 5295 cases with neck…

Purpose: This study compares two augmented reality (AR)-guided imaging workflows, one based on ultrasound shape completion and the other on cone-beam computed tomography (CBCT), for planning and executing lumbar needle interventions. The…

Human-Computer Interaction · Computer Science 2026-03-05 Tianyu Song , Feng Li , Felix Pabst , Miruna-Alexandra Gafencu , Yuan Bi , Ulrich Eck , Nassir Navab

Femoral artery access is essential for numerous clinical procedures, including diagnostic angiography, therapeutic catheterization, and emergency interventions. Despite its critical role, successful vascular access remains challenging due…

Robotics · Computer Science 2025-08-15 Lidia Al-Zogbi , Deepak Raina , Vinciya Pandian , Thorsten Fleiter , Axel Krieger

Currently, the Morpho-Constitutional Analysis (MCA) is the de facto approach for the etiological diagnosis of kidney stone formation, and it is an important step for establishing personalized treatment to avoid relapses. More recently,…

Accurate segmentation of kidneys and kidney tumors is an essential step for radiomic analysis as well as developing advanced surgical planning techniques. In clinical analysis, the segmentation is currently performed by clinicians from the…

Image and Video Processing · Electrical Eng. & Systems 2020-06-05 Wenshuai Zhao , Dihong Jiang , Jorge Peña Queralta , Tomi Westerlund

Automatic segmentation of kidney and kidney tumour in Computed Tomography (CT) images is essential, as it uses less time as compared to the current gold standard of manual segmentation. However, many hospitals are still reliant on manual…

Image and Video Processing · Electrical Eng. & Systems 2022-12-27 Qi Ming How , Hoi Leong Lee