IEEE Transactions on
Biomedical Engineering

IEEE Transactions on Biomedical Engineering contains basic and applied papers dealing with biomedical engineering. Papers range from engineering development in methods and techniques with biomedical applications to experimental and clinical investigations with engineering contributions.
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Xiaochuan Pan
Editor-in-chief
Editor-in-chief

"Xiaochuan Pan is currently Professor of Radiology, Radiation & Cellular Oncology, Committee in Medical Physics, the College, and the University of Chicago Medicine Comprehensive Cancer Center at The University of Chicago. He received the BS (1982) and MS (1985) degrees in physics from Beijing University and the Institute of Physics, Science Academy of China and the MS (1988) and PhD (1991) degrees in physics from The University of Chicago. Following post-doc training in medical imaging from 1992-1994 in the Department of Radiology at The University of Chicago, he was appointed as an Assistant Professor of Radiology before being promoted to Associate Professor and Professor of Radiology in 2001 and 2006.

Professor Pan’s research centers on physics, algorithms, and engineering underpinning tomographic imaging and its biomedical and clinical applications. He and his laboratory have conducted research on advanced theory and algorithms for... Read more

"Xiaochuan Pan is currently Professor of Radiology, Radiation & Cellular Oncology, Committee in Medical Physics, the College, and the University of Chicago Medicine Comprehensive Cancer Center at The University of Chicago. He received the BS (1982) and MS (1985) degrees in physics from Beijing University and the Institute of Physics, Science Academy of China and the MS (1988) and PhD (1991) degrees in physics from The University of Chicago. Following post-doc training in medical imaging from 1992-1994 in the Department of Radiology at The University of Chicago, he was appointed as an Assistant Professor of Radiology before being promoted to Associate Professor and Professor of Radiology in 2001 and 2006.

Professor Pan’s research centers on physics, algorithms, and engineering underpinning tomographic imaging and its biomedical and clinical applications. He and his laboratory have conducted research on advanced theory and algorithms for conventional and spectral computed tomography (CT), positron emission tomography (PET), single-photo-emission computed tomography (SPECT), and tomosynthesis especially digital breast tomosynthesis (DBT) and digital lung tomosynthesis (DLT). In collaborating with leading researchers in the field, he and his team have worked on magnetic resonance imaging (MRI) and have also investigated emerging imaging techniques, including electron-paramagnetic resonance imaging (EPRI), phase-contrast CT, and photo-acoustic tomography (PAT), among others. In recent years, he and his team have developed vigorous interest/effort in translating theoretical concepts and methods to biomedical application work that includes developing innovative hardware systems and workflows, enabled by advanced algorithms, with a strong emphasis on the relevance and impact of imaging technological solutions tailored to specific applications of biomedical and/or clinical significance, and have established continuous, close clinical and industrial collaboration and developed robust translational projects to facilitate this effort. Dr. Pan is a Fellow of AAPM, AIMBE, IAMBE, IEEE, OSA, and SPIE."

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Featured Articles

TBME, Volume 68, Issue 10, October 2021
IEEE Transactions on

Biomedical Engineering

Biomedical Engineering
OCTOBER 2021
VOLUME 68
NUMBER 10
IEBEAX
68
An MR-Safe Endovascular Robotic Platform: Design, Control, and Ex-Vivo Evaluation
Endovascular interventions in combination with fluoroscopic navigation are a standard of care for diagnosis and treatment of cardiovascular diseases. Our work focuses on novel robotic systems for use in non-ionising MRI environments and enhanced manipulation of endovascular instrumentation. We present a novel robotic platform that comprises of a remotely operated MR compatible manipulator and an intuitive user interface. We evaluate the device performance in an expert user study with manual vs. robotic execution of endovascular tasks in ex-vivo phantoms. The promising study results may promote a paradigm shift towards fusion of robotic endovascular surgery with MRI-based navigation... Read more
Multi-Angular Electroretinography (maERG): Topographic mapping of the retinal function combining real and virtual electrodes
This work aims to create a functional retinal map, to locate potential areas of diseased retina. To do so, we created a new electroretinogram recording method which increases the number of recording electrodes around the eye from only a few real ones, by simply moving the gaze. We show that, by solving the inverse problem with an eye model, we can recreate the retinal activity that would have produced the many signals obtained. We present the best recording method and requirements needed for our novel technique to reliably reproduce the retina’s topographic activity, which should improve disease detection and follow-up... Read more
Bio-inspired Haptic Feedback for Artificial Palpation in Robotic Surgery
This study tests whether an algorithm that simulates the responses peripheral touch receptors improves performance compared to standard algorithms in a tumor detection task, tested using a combination of vibration and force feedback with a da Vinci surgical robot. The novel bio-inspired algorithm was the only one that allowed both novices and expert robot-assisted surgeons to easily identify the locations of hard, medium and soft tumors and did so with reduced contact force and tumor contact time. Although tested with only a single sensor and actuator of each class, it can easily scale up for greater coverage and sensitivity... Read more
Computer Assisted Planning for Curved Laser Interstitial Thermal Therapy
We present a detailed retrospective study on clinical epilepsy patient data, showing the potential advantage of following a curved path in the brain for both insertion and ablation purposes. Curved trajectories that follow the contours of given anatomy, as the amygdala-hippocampal complex (AHC) in the case of refractory epilepsy, were associated with a statistically significant improvement compared to their straight counterpart. Benefits were measured in terms of several quantitative metrics including percentage coverage of the ablation region and a published risk score to quantify, among other aspects, the safe distance between the ablation trajectory and critical brain regions... Read more
Mechanical Imaging of Soft Tissues with Miniature Climbing robots
We propose a method that uses our previously developed skin-crawling robots to noninvasively test the mechanical properties of soft tissue. We explore the use of two miniature sensors: an indenter and a cutometer. We evaluate the sensor's performance from data collected on simulated tissue, classifying the depth and size of a simulated lump with over 98.8% accuracy using convolutional neural nets. Finally, we do limited on-body testing to map dry skin on the forearm with a cutometer. We hope to improve the ability to test tissues noninvasively, providing better sensitivity and systematic data collection... Read more