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Transcranial magnetic stimulation (TMS) is a noninvasive medical procedure that can modulate brain activity, and it is widely used in neuroscience and neurology research. Compared to manual operators, robots may improve the outcome of TMS…

Transcranial magnetic stimulation (TMS) is a non-invasive and safe brain stimulation procedure with growing applications in clinical treatments and neuroscience research. However, achieving precise stimulation over prolonged sessions poses…

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

Transcranial magnetic stimulation (TMS) is a popular method for the noninvasive stimulation of neurons in the brain. It has become a standard instrument in experimental brain research and is approved for a range of diagnostic and…

Medical Physics · Physics 2023-12-27 Max Koehler , Stefan Goetz

Transcranial magnetic stimulation (TMS) is widely used for understanding brain function in neurologically intact subjects and for the treatment of various disorders. However, the precise neurophysiological effects of TMS at the site of…

Neurons and Cognition · Quantitative Biology 2021-10-27 Farshad Rafiei , Dobromir Rahnev

Robotic-assisted medical systems (RAMS) have gained significant attention for their advantages in alleviating surgeons' fatigue and improving patients' outcomes. These systems comprise a range of human-computer interactions, including…

Robotics · Computer Science 2024-10-22 Letian Ai , Yihao Liu , Mehran Armand , Amir Kheradmand , Alejandro Martin-Gomez

Correction for nearsightedness and farsightedness is an important concern for functional magnetic resonance imaging (fMRI) experiments involving visual stimuli in humans. In the absence of personal contact lenses, spherical refractive…

Medical Physics · Physics 2026-04-08 Aleksandar Marinkovic , Julian Michael Tyszka

The coil in transcranial magnetic stimulation (TMS) determines the spatial shape of the electromagnetic field in the head, which structures are concurrently activated, and how focal stimulation is. Most of the readily available coils have…

Medical Physics · Physics 2026-01-07 Max Koehler , Stefan Goetz

We present a real-time visualization system for Transcranial Magnetic Stimulation (TMS), a non-invasive neuromodulation technique for treating various brain disorders and mental health diseases. Our solution targets the current challenges…

Signal Processing · Electrical Eng. & Systems 2024-03-14 Loraine Franke , Tae Young Park , Jie Luo , Yogesh Rathi , Steve Pieper , Lipeng Ning , Daniel Haehn

Accurate neuronavigation is critical for effective transcranial magnetic stimulation (TMS), as stimulation outcomes depend directly on precise coil placement. Existing neuronavigation systems are often costly, complex, and prone to tracking…

Human-Computer Interaction · Computer Science 2026-01-26 Xuyi Hu , Ke Ma , Siwei Liu , Per Ola Kristensson , Stefan Goetz

Objective. The technology employed in magnetic resonance imaging (MRI) systems has evolved continuously, resulting in MRI scanners with stronger static magnetic fields (SMF) B0, faster and stronger gradient magnetic fields, and more…

Robot-assisted Transcranial Magnetic Stimulation (Robo-TMS) is an image-guided robotic intervention that enhances the accuracy and reproducibility of conventional Transcranial Magnetic Stimulation (TMS), a widely used non-invasive brain…

Robotics · Computer Science 2026-04-29 Wenzhi Bai , Yituo Guo , Bhaskar Basu , Andrew Weightman , Zhenhong Li

Objective: This study shows the force/torque control strategy for the robotized TMS system whose TMS coil's floor is incurved. The strategy considered the adhesion and friction between the coil and the subject's head. Methods: Hybrid…

Robotics · Computer Science 2023-12-11 Jaewoo Kim , Gi-hun Yang

Magnetic Resonance Imaging (MRI) stands as a powerful modality in clinical diagnosis. However, it is known that MRI faces challenges such as long acquisition time and vulnerability to motion-induced artifacts. Despite the success of many…

Image and Video Processing · Electrical Eng. & Systems 2023-10-17 Lixuan Chen , Xuanyu Tian , Jiangjie Wu , Ruimin Feng , Guoyan Lao , Yuyao Zhang , Hongjiang Wei

Obtaining high quality images of the spinal cord with MRI is difficult, partly due to the fact that the spinal cord is surrounded by a number of structures that have differing magnetic susceptibility. This causes inhomogeneities in the…

Image and Video Processing · Electrical Eng. & Systems 2022-12-09 E. Alonso-Ortiz , D. Papp , A. D'Astous , J. Cohen-Adad

Modern magnetic resonance imaging (MRI) relies on application-specific multi-channel receive coils to achieve high performance, but these coils are typically costly, rigid, and difficult to generalize across anatomies. Recent wireless,…

Medical Physics · Physics 2026-05-26 Yuhan Liu , Xia Zhu , Ke Wu , Artem Kaliaev , Christina A. LeBedis , Stephan W. Anderson , Xin Zhang

Personalized treatments are gaining momentum across all fields of medicine. Precision medicine can be applied to neuromodulatory techniques, where focused brain stimulation treatments such as repetitive transcranial magnetic stimulation…

Since the initial patent in 2001, the Magnetic Particle Imaging (MPI) community has been striving to develop an MPI scanner suitable for human applications. Numerous contributions from different research fields, regarding tracer…

Neurosurgery increasingly uses Mixed Reality (MR) technologies for intraoperative assistance. The greatest challenge in this area is mentally reconstructing complex 3D anatomical structures from 2D slices with millimetric precision, which…

Multimodal brain magnetic resonance (MR) imaging is indispensable in neuroscience and neurology. However, due to the accessibility of MRI scanners and their lengthy acquisition time, multimodal MR images are not commonly available. Current…

Image and Video Processing · Electrical Eng. & Systems 2024-09-26 Yulin Wang , Honglin Xiong , Kaicong Sun , Shuwei Bai , Ling Dai , Zhongxiang Ding , Jiameng Liu , Qian Wang , Qian Liu , Dinggang Shen
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