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Achieving 3D spatial awareness is crucial for surgical robotic manipulation, where precise and delicate operations are required. Existing methods either explicitly reconstruct the surgical scene prior to manipulation, or enhance multi-view…

Robotics · Computer Science 2026-03-05 Yu Sheng , Lidian Wang , Xiaomeng Chu , Jiajun Deng , Min Cheng , Yanyong Zhang , Bei Hua , Houqiang Li , Jianmin Ji

Changes in cardiovascular hemodynamics are closely related to the development of aortic regurgitation, a type of valvular heart disease. Metrics derived from blood flows are used to indicate aortic regurgitation onset and evaluate its…

Computer Vision and Pattern Recognition · Computer Science 2022-04-07 Derek Long , Cameron McMurdo , Edward Ferdian , Charlene A. Mauger , David Marlevi , Alistair A. Young , Martyn P. Nash

Cardiovascular diseases (CVDs) and congenital heart diseases (CHD) pose significant global health challenges. Fluoroscopy-guided endovascular interventions, though effective, are accompanied by ionizing radiation concerns, especially in…

Background: Out-of-plane lesions pose challenges for CT-guided interventions. Augmented reality (AR) headset devices have evolved and are readily capable to provide virtual 3D guidance to improve CT-guided targeting. Purpose: To describe…

Medical Physics · Physics 2020-10-30 Brian J. Park , Stephen J. Hunt , Gregory J. Nadolski , Terence P. Gade

This study introduces a novel data-centric approach to improve real-time surgical guidance using fiber-based fluorescence lifetime imaging (FLIm). A key aspect of the methodology is the accurate detection of the aiming beam, which is…

Artificial Intelligence · Computer Science 2024-11-13 Mohamed Abul Hassan , Pu Sun , Xiangnan Zhou , Lisanne Kraft , Kelsey T Hadfield , Katjana Ehrlich , Jinyi Qi , Andrew Birkeland , Laura Marcu

Optical coherence tomography (OCT) is a non-invasive, micrometer-scale imaging modality that has become a clinical standard in ophthalmology. By raster-scanning the retina, sequential cross-sectional image slices are acquired to generate…

Image and Video Processing · Electrical Eng. & Systems 2024-02-20 Stefan Ploner , Jungeun Won , Julia Schottenhamml , Jessica Girgis , Kenneth Lam , Nadia Waheed , James Fujimoto , Andreas Maier

Purpose: Preoperative imaging plays a pivotal role in sinus surgery where CTs offer patient-specific insights of complex anatomy, enabling real-time intraoperative navigation to complement endoscopy imaging. However, surgery elicits…

Computed tomography (CT) is widely used in scientific imaging systems such as synchrotron and laboratory-based nano-CT, but acquiring full-view sinograms requires high radiation dose and long scan times. Sparse-view CT reduces this burden…

Image and Video Processing · Electrical Eng. & Systems 2026-02-10 Jiaze E , Srutarshi Banerjee , Tekin Bicer , Guannan Wang , Yanfu Zhang , Bin Ren

Current commercial matrix transducers for 3D DCE-US do not display side-by-side B-mode and contrast-mode images when capturing volumetric data, thus leaving the operator with no position feedback during lengthy acquisitions. The purpose of…

Image and Video Processing · Electrical Eng. & Systems 2020-11-03 Ahmed El Kaffas , Renhui Gong , Samvardhini Sridharan , Rosa Maria Silveira Sigrist , Isabelle Durot , Jürgen K. Willmann , Dimitre Hristov

A biopsy is the only diagnostic procedure for accurate histological confirmation of breast cancer. When sonographic placement is not feasible, a Magnetic Resonance Imaging(MRI)-guided biopsy is often preferred. The lack of real-time imaging…

In minimally invasive endovascular procedures, contrast-enhanced angiography remains the most robust imaging technique. However, it is at the expense of the patient and clinician's health due to prolonged radiation exposure. As an…

Image and Video Processing · Electrical Eng. & Systems 2024-09-11 Alex Ranne , Liming Kuang , Yordanka Velikova , Nassir Navab , Ferdinando Rodriguez y Baena

Diffusion models have emerged as powerful priors for solving inverse problems in computed tomography (CT). In certain applications, such as neutron CT, it can be expensive to collect large amounts of measurements even for a single scan,…

Computer Vision and Pattern Recognition · Computer Science 2026-03-03 Timofey Efimov , Singanallur Venkatakrishnan , Maliha Hossain , Haley Duba-Sullivan , Amirkoushyar Ziabari

Machine perception is an important prerequisite for safe interaction and locomotion in dynamic environments. This requires not only the timely perception of surrounding geometries and distances but also the ability to react to changing…

Robotics · Computer Science 2024-10-30 Simone Müller , Dieter Kranzlmüller

Interactive segmentation reduces the annotation time of medical images and allows annotators to iteratively refine labels with corrective interactions, such as clicks. While existing interactive models transform clicks into user guidance…

Computer Vision and Pattern Recognition · Computer Science 2023-11-27 Zdravko Marinov , Rainer Stiefelhagen , Jens Kleesiek

Intraoperative CT imaging serves as a crucial resource for surgical guidance; however, it may not always be readily accessible or practical to implement. In scenarios where CT imaging is not an option, reconstructing CT scans from X-rays…

Image and Video Processing · Electrical Eng. & Systems 2024-08-22 Zhi Qiao , Xuhui Liu , Xiaopeng Wang , Runkun Liu , Xiantong Zhen , Pei Dong , Zhen Qian

In computational imaging, hardware for signal sampling and software for object reconstruction are designed in tandem for improved capability. Examples of such systems include computed tomography (CT), magnetic resonance imaging (MRI), and…

Image and Video Processing · Electrical Eng. & Systems 2022-11-01 Andrew Olsen , Yolanda Hu , Vidya Ganapati

Radiation therapy presents a need for dynamic tracking of a target tumor volume. Fiducial markers such as implanted gold seeds have been used to gate radiation delivery but the markers are invasive and gating significantly increases…

Computer Vision and Pattern Recognition · Computer Science 2019-09-27 Markus D. Foote , Blake E. Zimmerman , Amit Sawant , Sarang Joshi

Surgical automation requires precise guidance and understanding of the scene. Current methods in the literature rely on bulky depth cameras to create maps of the anatomy, however this does not translate well to space-limited clinical…

Intra-operative 2D-3D registration of X-ray images with pre-operatively acquired CT scans is a crucial procedure in orthopedic surgeries. Anatomical landmarks pre-annotated in the CT volume can be detected in X-ray images to establish 2D-3D…

Computer Vision and Pattern Recognition · Computer Science 2024-10-11 Pragyan Shrestha , Chun Xie , Yuichi Yoshii , Itaru Kitahara

Interventional C-arm imaging is crucial to percutaneous orthopedic procedures as it enables the surgeon to monitor the progress of surgery on the anatomy level. Minimally invasive interventions require repeated acquisition of X-ray images…

Computer Vision and Pattern Recognition · Computer Science 2018-06-26 Mathias Unberath , Javad Fotouhi , Jonas Hajek , Andreas Maier , Greg Osgood , Russell Taylor , Mehran Armand , Nassir Navab