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Designing a robotic system that functions effectively within the specific environment of a Magnetic Resonance Imaging (MRI) scanner requires solving numerous technical issues, such as maintaining the robot's precision and stability under…

Robotics · Computer Science 2026-01-06 Wenhui Chu , Aobo Jin , Hardik A. Gohel

Minimally invasive interventions performed inside brain vessels with the synergistic use of microcatheters pushed over guidewires have revolutionized the way aneurysms, stroke, arteriovenous malformations, brain tumors and other…

Magnetic resonance imaging (MRI) is the cornerstone technique for diagnostic medicine, biology, and neuroscience. This imaging method is highly innovative, noninvasive and its impact continues to grow. It can be used for measuring changes…

Traditional rigid endoscopes have challenges in flexibly treating tumors located deep in the brain, and low operability and fixed viewing angles limit its development. This study introduces a novel dual-segment flexible robotic endoscope…

This article presents the design and assembly of a novel magnetically actuated endoscopic laser scanner device. The device is designed to perform 2D position control and high speed scanning of a fiber-based laser for operation in narrow…

Robotics · Computer Science 2017-11-22 Alperen Acemoglu , Nikhil Deshpande , Leonardo S. Mattos

Robotic assistance has significantly improved the outcomes of open microsurgery and rigid endoscopic surgery, however is yet to make an impact in flexible endoscopic neurosurgery. Some of the most common intracranial procedures for…

Robotics · Computer Science 2024-04-23 Kieran Gilday , Irena Zubak , Andreas Raabe , Josie Hughes

Intra-operative image guidance using magnetic resonance imaging (MRI) can significantly enhance the precision of surgical procedures, such as deep brain tumor ablation. However, the powerful magnetic fields and limited space within an MRI…

Robotics · Computer Science 2024-08-19 Zhanyue Zhao , Haimi Tang , Paulo Carvalho , Cosme Furlong , Gregory S. Fischer

Robotics enables a variety of unconventional actuation strategies to be used for endoscopes, resulting in reduced trauma to the GI tract. For transmission of force to distally mounted endoscopic instruments, robotically actuated tendon…

Medical Physics · Physics 2017-03-17 Tian En Timothy Seah , Thanh Nho Do , Nobuyoshi Takeshita , Khek Yu Ho , Soo Jay Phee

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…

Current magnetic resonance imaging (MRI) requires the subject to remain stationary to limit motion artifacts and avoid unwanted field-induced brain stimulation. However, imaging during large-scale motion could enable studies in which motion…

Minimally invasive medical procedures, such as endovascular catheterization, have drastically reduced procedure time and associated complications. However, many regions inside the body, such as in the brain vasculature, still remain…

Applied Physics · Physics 2021-01-27 Lucio Pancaldi , Pietro Dirix , Adele Fanelli , Diego Ghezzi , Mahmut Selman Sakar

Advanced minimally invasive neurosurgery navigation relies mainly on Magnetic Resonance Imaging (MRI) guidance. MRI guidance, however, only provides pre-operative information in the majority of the cases. Once the surgery begins, the value…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Gary Sarwin , Alessandro Carretta , Victor Staartjes , Matteo Zoli , Diego Mazzatenta , Luca Regli , Carlo Serra , Ender Konukoglu

This paper presents a method of navigating a surgical robot beyond the resolution of magnetic resonance imaging (MRI) by using a resolution enhancement technique enabled by high-precision piezoelectric actuation. The surgical robot was…

Robotics · Computer Science 2020-06-11 Daniel Enrique Martinez , Waiman Meinhold , John Oshinski , Ai-Ping Hu , Jun Ueda

Robotic surgery has been proven to offer clear advantages during surgical procedures, however, one of the major limitations is obtaining haptic feedback. Since it is often challenging to devise a hardware solution with accurate force…

Computer Vision and Pattern Recognition · Computer Science 2019-04-02 Cong Gao , Xingtong Liu , Michael Peven , Mathias Unberath , Austin Reiter

Objective: Probe-based confocal endomicroscopy is an emerging high-magnification optical imaging technique that provides in vivo and in situ cellular-level imaging for real-time assessment of tissue pathology. Endomicroscopy could…

Magnetic Resonance Imaging (MRI) is the primary imaging modality used in the diagnosis, assessment, and treatment planning for brain pathologies. However, most automated MRI analysis tools, such as segmentation and registration pipelines,…

Magnetic Resonance Imaging (MRI) is a pivotal clinical diagnostic tool, yet its extended scanning times often compromise patient comfort and image quality, especially in volumetric, temporal and quantitative scans. This review elucidates…

Magnetic Resonance Imaging (MRI) is a vital component of medical imaging. When compared to other image modalities, it has advantages such as the absence of radiation, superior soft tissue contrast, and complementary multiple sequence…

Image and Video Processing · Electrical Eng. & Systems 2021-05-06 Guang Yang , Jun Lv , Yutong Chen , Jiahao Huang , Jin Zhu

In otolaryngologic surgery, endoscopy is increasingly used to provide a better view of hard-to-reach areas and to promote minimally invasive surgery. However, the need to manipulate the endoscope limits the surgeon's ability to operate with…

Robotics · Computer Science 2021-09-29 Guillaume Michel , Durgesh Haribhau Salunkhe , Philippe Bordure , Damien Chablat

This paper introduces a learning-based modeling framework for a magnetically steerable soft suction device designed for endoscopic endonasal brain tumor resection. The device is miniaturized (4 mm outer diameter, 2 mm inner diameter, 40 mm…

Robotics · Computer Science 2026-02-06 Majid Roshanfar , Alex Zhang , Changyan He , Amir Hooshiar , Dale J. Podolsky , Thomas Looi , Eric Diller
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