English
Related papers

Related papers: MRI-compatible electromagnetic servomotors for ima…

200 papers

Supervised deep learning methods typically rely on large datasets for training. Ethical and practical considerations usually make it difficult to access large amounts of healthcare data, such as medical images, with known task-specific…

Medical Physics · Physics 2023-05-26 Marta Varela , Anil A Bharath

Electromagnetic systems have been used extensively for the control magnetically actuated objects, such as in microrheology and microrobotics research. Therefore, optimizing the design of such systems is highly desired. Some of the features…

Robotics · Computer Science 2022-11-03 Max Sokolich , Max Sokolich , David Rivas , Markos Duey , Daniel Borsykowsky , Sambeeta Das

Magnetic resonance imaging (MRI) is a powerful imaging modality that revolutionizes medicine and biology. The imaging speed of high-dimensional MRI is often limited, which constrains its practical utility. Recently, low-rank tensor models…

Computer Vision and Pattern Recognition · Computer Science 2021-05-25 Zichang He , Bo Zhao , Zheng Zhang

Purpose: Low-field MRI systems operate at single MHz-range frequencies, where signal losses are primarily dominated by thermal noise from the radio-frequency (RF) receive coils. Achieving operation close to this limit is essential for…

Medical Physics · Physics 2026-03-09 Teresa Guallart-Naval , José M. Algarín , Joseba Alonso

Access to magnetic resonance imaging (MRI) remains severely limited in low- and middle-income countries, especially in sub-Saharan Africa, despite rising rates of non-communicable diseases. Low-field MRI presents an affordable, locally…

Anatomy-specific RF receive coil arrays routinely adopted in magnetic resonance imaging (MRI) for signal acquisition, are commonly burdened by their bulky, fixed, and rigid configurations, which may impose patient discomfort, bothersome…

Medical Physics · Physics 2023-12-21 Ke Wu , Xia Zhu , Stephan W. Anderson , Xin Zhang

PURPOSE OF REVIEW: Robot-assisted laparoscopic surgery in urology has gained immense popularity with the daVinci system, but a lot of research teams are working on new robots. The purpose of this study is to review current urologic robots…

Robotics · Computer Science 2008-12-15 Pierre Mozer , Jocelyne Troccaz , Dan Stoianovici

High-resolution whole-brain in vivo MR imaging at mesoscale resolutions remains challenging due to long scan durations, motion artifacts, and limited signal-to-noise ratio (SNR). This study proposes Rotating-view super-resolution…

Image and Video Processing · Electrical Eng. & Systems 2025-05-26 Jun Lyu , Lipeng Ning , William Consagra , Qiang Liu , Richard J. Rushmore , Berkin Bilgic , Yogesh Rathi

The benefits, opportunities and growing availability of ultra-high field magnetic resonance imaging (MRI) for humans have prompted an expansion in research and development efforts towards increasingly more advanced high-resolution imaging…

Medical Physics · Physics 2023-04-14 Cristina Sainz Martinez , Meritxell Bach Cuadra , João Jorge

The spatial resolution of magnetic resonance imaging (MRI) is fundamentally limited by the width of Lorentzian point spread functions (PSF) associated with the exponential decay rate of transverse magnetization (1/T2*). Here we show a…

Purpose: To design a low-cost, portable permanent magnet-based MRI system capable of obtaining in vivo MR images within a reasonable scan time. Methods: A discretized Halbach permanent magnet array with a clear bore diameter of 27 cm was…

Medical Physics · Physics 2020-05-07 T. O'Reilly , W. M. Teeuwisse , D. de Gans , K. Koolstra , A. G. Webb

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…

Surface-functionalized nanomaterials can act as theranostic agents that detect disease and track biological processes using hyperpolarized magnetic resonance imaging (MRI). Candidate materials are sparse however, requiring spinful nuclei…

Majority of the existing robot navigation systems, which facilitate the use of laser range finders, sonar sensors or artificial landmarks, has the ability to locate itself in an unknown environment and then build a map of the corresponding…

Robotics · Computer Science 2014-12-22 Arjun B. Krishnan , Jayaram Kollipara

Preclinical magnetic resonance imaging often requires the entire body of an animal to be imaged with sufficient quality. This is usually performed by combining regions scanned with small coils with high sensitivity or long scans using large…

In-vivo environments, magnetically actuated soft robots offer advantages such as wireless operation and precise control, showing promising potential for painless detection and therapeutic procedures. We developed a trileg magnetically…

Robotics · Computer Science 2026-03-03 Ruijie Tang , Chi Kit Ng , Kaixuan Wu , Long Bai , Guankun Wang , Yiming Huang , Yupeng Wang , Hongliang Ren

In Minimally Invasive Surgery (MIS), tissue scanning with imaging probes is required for subsurface visualisation to characterise the state of the tissue. However, scanning of large tissue surfaces in the presence of deformation is a…

Robotics · Computer Science 2021-01-12 Jian Zhan , Joao Cartucho , Stamatia Giannarou

This work demonstrates the multifaceted dynamic motion and three-dimensional (3D) spatial manipulation of organic micro ring resonators (MRRs). The MRRs are fabricated via surface-tension-assisted self-assembly of…

Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility, safety, and shock absorption, among others. Despite many…

Robotics · Computer Science 2024-08-12 Andrija Milojevic , Kyrre Glette

Magnetic Resonance Imaging (MRI) plays a vital role in diagnosis, management and monitoring of many diseases. However, it is an inherently slow imaging technique. Over the last 20 years, parallel imaging, temporal encoding and compressed…