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NIR-II fluorescence imaging provides superior tissue penetration and clarity, yet its clinical use in surgical navigation is hindered by a critical workflow issue. Surgeons must divert their attention between the operative field and…

In computer- and robot-assisted orthopedic surgery (CAOS), patient-specific surgical plans derived from preoperative imaging define target locations and implant trajectories. During surgery, these plans must be accurately transferred,…

Computer Vision and Pattern Recognition · Computer Science 2026-05-25 Luohong Wu , Matthias Seibold , Nicola A. Cavalcanti , Yunke Ao , Roman Flepp , Aidana Massalimova , Lilian Calvet , Philipp Fürnstahl

The science and clinical practice of medical physics has been integral to the advancement of radiology and radiation therapy for over a century. In parallel, advances in surgery - including intraoperative imaging, registration, and other…

Medical Physics · Physics 2025-09-04 Jeffrey H. Siewerdsen

Indirect image registration is a promising technique to improve image reconstruction quality by providing a shape prior for the reconstruction task. In this paper, we propose a novel hybrid method that seeks to reconstruct high quality…

Image and Video Processing · Electrical Eng. & Systems 2019-12-18 Jiulong Liu , Angelica I. Aviles-Rivero , Hui Ji , Carola-Bibiane Schönlieb

A fundamental challenge in retinal surgery is safely navigating a surgical tool to a desired goal position on the retinal surface while avoiding damage to surrounding tissues, a procedure that typically requires tens-of-microns accuracy. In…

Registration is a fundamental task in medical image analysis which can be applied to several tasks including image segmentation, intra-operative tracking, multi-modal image alignment, and motion analysis. Popular registration tools such as…

Computer Vision and Pattern Recognition · Computer Science 2019-10-07 Wentao Zhu , Andriy Myronenko , Ziyue Xu , Wenqi Li , Holger Roth , Yufang Huang , Fausto Milletari , Daguang Xu

The correlation of optical measurements with a correct pathology label is often hampered by imprecise registration caused by deformations in histology images. This study explores an automated multi-modal image registration technique…

Image and Video Processing · Electrical Eng. & Systems 2023-11-27 Lianne Feenstra , Maud Lambregts , Theo J. M Ruers , Behdad Dashtbozorg

Nonlinear registration of 2D histological sections with corresponding slices of MRI data is a critical step of 3D histology reconstruction. This task is difficult due to the large differences in image contrast and resolution, as well as the…

Computer Vision and Pattern Recognition · Computer Science 2018-09-28 Juan Eugenio Iglesias , Marc Modat , Loic Peter , Allison Stevens , Roberto Annunziata , Tom Vercauteren , Ed Lein , Bruce Fischl , Sebastien Ourselin

The majority of current research in deep learning based image registration addresses inter-patient brain registration with moderate deformation magnitudes. The recent Learn2Reg medical registration benchmark has demonstrated that…

Computer Vision and Pattern Recognition · Computer Science 2022-03-02 Mattias P. Heinrich , Lasse Hansen

In percutaneous orthopedic interventions the surgeon attempts to reduce and fixate fractures in bony structures. The complexity of these interventions arises when the surgeon performs the challenging task of navigating surgical tools…

Computer Vision and Pattern Recognition · Computer Science 2018-03-26 Jonas Hajek , Mathias Unberath , Javad Fotouhi , Bastian Bier , Sing Chun Lee , Greg Osgood , Andreas Maier , Mehran Armand , Nassir Navab

Image-guided surgery collocates patient-specific data with the physical environment to facilitate surgical decision making in real-time. Unfortunately, these guidance systems commonly become compromised by intraoperative soft-tissue…

Image and Video Processing · Electrical Eng. & Systems 2023-06-12 Morgan Ringel , Jon Heiselman , Winona Richey , Ingrid Meszoely , William Jarnagin , Michael Miga

Ultrasound (US) imaging is increasingly used in spinal procedures due to its real-time, radiation-free capabilities; however, its effectiveness is hindered by shadowing artifacts that obscure deeper tissue structures. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2025-08-13 Miruna-Alexandra Gafencu , Reem Shaban , Yordanka Velikova , Mohammad Farid Azampour , Nassir Navab

Neuronavigation is widely used in biomedical research and interventions to guide the precise placement of instruments around the head to support procedures such as transcranial magnetic stimulation. Traditional systems, however, rely on…

Computer Vision and Pattern Recognition · Computer Science 2026-05-12 Ziye Xie , Oded Schlesinger , Raj Kundu , Jessica Y. Choi , Pablo Iturralde , Dennis A. Turner , Stefan M. Goetz , Guillermo Sapiro , Angel V. Peterchev , J. Matias Di Martino

Determining the 3D pose of a patient from a limited set of 2D X-ray images is a critical task in interventional settings. While preoperative volumetric imaging (e.g., CT and MRI) provides precise 3D localization and visualization of…

Computer Vision and Pattern Recognition · Computer Science 2025-10-24 Vivek Gopalakrishnan , Neel Dey , Polina Golland

Robust and accurate 2D/3D registration, which aligns preoperative models with intraoperative images of the same anatomy, is crucial for successful interventional navigation. To mitigate the challenge of a limited field of view in…

Computer Vision and Pattern Recognition · Computer Science 2025-06-30 Yuxin Cui , Rui Song , Yibin Li , Max Q. -H. Meng , Zhe Min

State-of-the-art research of traditional computer vision is increasingly leveraged in the surgical domain. A particular focus in computer-assisted surgery is to replace marker-based tracking systems for instrument localization with pure…

Computer Vision and Pattern Recognition · Computer Science 2025-04-11 Jonas Hein , Nicola Cavalcanti , Daniel Suter , Lukas Zingg , Fabio Carrillo , Lilian Calvet , Mazda Farshad , Marc Pollefeys , Nassir Navab , Philipp Fürnstahl

Accurate registration of brain MRI scans is fundamental for cross-subject analysis in neuroscientific studies. This involves aligning both the cortical surface of the brain and the interior volume. Traditional methods treat volumetric and…

Computer Vision and Pattern Recognition · Computer Science 2025-12-24 S. Mazdak Abulnaga , Andrew Hoopes , Malte Hoffmann , Robin Magnet , Maks Ovsjanikov , Lilla Zöllei , John Guttag , Bruce Fischl , Adrian Dalca

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…

Real-time 3D navigation during minimally invasive procedures is an essential yet challenging task, especially when considerable tissue motion is involved. To balance image acquisition speed and resolution, only 2D images or low-resolution…

Computer Vision and Pattern Recognition · Computer Science 2018-01-03 Xiao-Yun Zhou , Guang-Zhong Yang , Su-Lin Lee

Brain shift, i.e. the change in configuration of the brain after opening the dura mater, is a key problem in neuronavigation. We present an approach to co-register intra-operative microscope images with pre-operative MRI to adapt and…

Computer Vision and Pattern Recognition · Computer Science 2013-03-25 Benjamin Berkels , Ivan Cabrilo , Sven Haller , Martin Rumpf , Carlo Schaller