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This paper presents a novel method for monocular patient-to-image intraoperative registration, specifically designed to operate without any external hardware tracking equipment or fiducial point markers. Leveraging a synthetic microscopy…

Computer Vision and Pattern Recognition · Computer Science 2025-05-27 Yike Zhang , Eduardo Davalos Anaya , Jack H. Noble

Advances in neuroimaging techniques have provided us novel insights into understanding how the human mind works. Functional magnetic resonance imaging (fMRI) is the most popular and widely used neuroimaging technique, and there is growing…

Neurons and Cognition · Quantitative Biology 2022-06-15 Jihyun Hur , Jaeyeong Yang , Hoyoung Doh , Woo-Young Ahn

Cardiac tagging magnetic resonance imaging (t-MRI) is the gold standard for regional myocardium deformation and cardiac strain estimation. However, this technique has not been widely used in clinical diagnosis, as a result of the difficulty…

Computer Vision and Pattern Recognition · Computer Science 2021-04-20 Meng Ye , Mikael Kanski , Dong Yang , Qi Chang , Zhennan Yan , Qiaoying Huang , Leon Axel , Dimitris Metaxas

The brain stimulation and its widespread use is one of the most important subjects in studies of neurophysiology. In brain electrical stimulation methods, following the surgery and electrode implantation, electrodes send electrical impulses…

Neurons and Cognition · Quantitative Biology 2019-01-11 Amirmasoud Ahmadi , Sepideh Farakhor Seghinsara , Mohammad Reza Daliri , Vahid Shalchyan

Neurosurgery requires exceptional precision and comprehensive preoperative planning to ensure optimal patient outcomes. Despite technological advancements, there remains a need for intuitive, accessible tools to enhance surgical preparation…

Robotics · Computer Science 2024-11-06 Hon Lung Ho , Yupeng Wang , An Wang , Long Bai , Hongliang Ren

The non-invasive spatiotemporal control of cellular functions, organization of tissues, and even the behavior of small animals has become paramount for advanced therapies. As magnetic fields do not interact with biological matter, their…

Biological Physics · Physics 2024-01-23 Peter Blümler , Fabian Raudzus , Friederike Schmid

An accurate initial heading angle is essential for efficient and safe navigation across diverse domains. Unlike magnetometers, gyroscopes can provide accurate heading reference independent of the magnetic disturbances in a process known as…

Robotics · Computer Science 2025-07-30 Gershy Ben-Arie , Daniel Engelsman , Rotem Dror , Itzik Klein

In recent years, non-invasive neuro-modulation methods such as Focused Ultrasound (FUS) have gained popularity. The aim of this work is to introduce the use of existing open-source technology for surgical navigation to the field of…

Medical Physics · Physics 2019-09-30 Frank Preiswerk , Spencer T. Brinker , Nathan J. McDannold , Timothy Y. Mariano

Despite their mechanical sophistication, surgical robots remain blind to their surroundings. This lack of spatial awareness causes collisions, system recoveries, and workflow disruptions, issues that will intensify with the introduction of…

Miniature magnetic tools have the potential to enable minimally invasive surgical techniques to be applied to space-restricted surgical procedures in areas such as neurosurgery. However, typical magnetic navigation systems, which create the…

Robotics · Computer Science 2023-08-24 Adam Schonewille , Changyan He , Cameron Forbrigger , Nancy Wu , James Drake , Thomas Looi , Eric Diller

Transcranial magnetic stimulation (TMS) is a technique for noninvasively stimulating a brain area for therapeutic, rehabilitation treatments and neuroscience research. Despite our understanding of the physical principles and experimental…

Neurons and Cognition · Quantitative Biology 2020-12-30 Jose Gomez-Tames , Ilkka Laakso , Akimasa Hirata

Intraoperative navigation in spine surgery demands millimeter-level accuracy. Currently, this is achieved through radiation-intensive intraoperative imaging and bone-anchored markers that are invasive and disrupt surgical workflow.…

Computer Vision and Pattern Recognition · Computer Science 2026-05-21 Lorenzo Pettinari , Sidaty El Hadramy , Michael Wehrli , Philippe C. Cattin , Daniel Studer , Carol C. Hasler , Maria Licci

Augmented Reality (AR) surgical navigation systems are emerging as the next generation of intraoperative surgical guidance, promising to overcome limitations of traditional navigation systems. However, known issues with AR depth perception…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Marc J. Fischer , Jeffrey Potts , Gabriel Urreola , Dax Jones , Paolo Palmisciano , E. Bradley Strong , Branden Cord , Andrew D. Hernandez , Julia D. Sharma , E. Brandon Strong

Identifying what aspects of brain activity are responsible for conscious perception remains one of the most challenging problems in science. While progress has been made through psychophysical studies employing EEG and fMRI, research would…

Neurons and Cognition · Quantitative Biology 2025-07-14 Daniel K. Freeman , Brian Odegaard , Seung-Schik Yoo , Matthias Michel

In augmented reality (AR)-guided surgical navigation, preoperative organ models are superimposed onto the patient's intraoperative anatomy to visualize critical structures such as vessels and tumors. Accurate deformation modeling is…

Computer Vision and Pattern Recognition · Computer Science 2025-06-12 Zheng Han , Jun Zhou , Jialun Pei , Jing Qin , Yingfang Fan , Qi Dou

Consumer-grade RGB-D imaging for intraoperative orthopedic tissue tracking is a promising method with high translational potential. Unlike bone-mounted tracking devices, markerless tracking can reduce operating time and complexity. However,…

Computer Vision and Pattern Recognition · Computer Science 2025-07-02 Connor Daly , Elettra Marconi , Marco Riva , Jinendra Ekanayake , Daniel S. Elson , Ferdinando Rodriguez y Baena

In this paper we present a methodology to address the problem of brain tissue deformation referred to as 'brain-shift'. This deformation occurs throughout a neurosurgery intervention and strongly alters the accuracy of the neuronavigation…

Medical Physics · Physics 2007-09-06 Marek Bucki , Claudio Lobos , Yohan Payan

Recent advances in brain-vision decoding have driven significant progress, reconstructing with high fidelity perceived visual stimuli from neural activity, e.g., functional magnetic resonance imaging (fMRI), in the human visual cortex. Most…

Computer Vision and Pattern Recognition · Computer Science 2025-07-04 Le Xu , Qi Zhang , Qixian Zhang , Hongyun Zhang , Duoqian Miao , Cairong Zhao

Tracking passive magnetic markers plays a vital role in advancing healthcare and robotics, offering the potential to significantly improve the precision and efficiency of systems. This technology is key to developing smarter, more…

Machine Learning · Computer Science 2024-03-26 Mengfan Wu , Thomas Langerak , Otmar Hilliges , Juan Zarate

Touchless interaction with medical images is becoming increasingly important in the surgical field, where sterility and continuity of the operational workflow are essential requirements. This work presents a vision-based system for…

Computer Vision and Pattern Recognition · Computer Science 2026-04-28 Yin Lin , Domenico Aquino , Alberto Redaelli , Massimiliano Del Bene , Riccardo Barbieri , Simona Ferrante