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

IEEE Transactions on

Biomedical Engineering

Biomedical Engineering
SEPTEMBER 2021
VOLUME 68
NUMBER 9
IEBEAX
68
TBME, Volume 68, Issue 9, September 2021
Towards Non-invasive Lung Tumor Tracking Based on Patient Specific Model of Respiratory System
This work aims to calculate a complex internal respiratory and tumoral movements by measuring respiratory airflows and thorax movements. We present a new lung tumor tracking approach based on a patient-specific biomechanical model of the respiratory system, which takes into account the physiology of respiratory motion to simulate the real non-reproducible motion. We have evaluated the model accuracy on five public datasets and over all phases of respiration. The results demonstrate the effectiveness of our physics-based model. This model can be potentially used as non-invasive lung tumor tracking system during treatment based on external sensors... Read more
Design and Preliminary Performance Assessment of a Wearable Tremor Suppression Glove
Approximately 25% of individuals living with parkinsonian tremor do not respond to traditional treatments. This study presents a novel wearable tremor suppression device (WTSD) that can suppress tremor simultaneously, but independently, in the index finger, thumb, and wrist without restricting the user’s voluntary motion. The prototype was tested and assessed on a participant living with parkinsonian tremor, demonstrating the feasibility of using a WTSD to manage hand and finger tremor. The device enriches the field of upper-limb tremor management, as the first WTSD for multiple joints of the hand... Read more
In-The-Wild Interference Characterization and Modelling for Electro-Quasistatic-HBC with Miniaturized Wearables
Electro Quasi-Static Human Body Communication (EQS-HBC) is an emerging communication technique that utilizes the conductive medium of the human body to achieve enhanced energy efficient and physically secure communication in comparison to traditional radio wave-based technologies like Bluetooth. This work presents 1) a thorough characterization of interference on the human body in day-to-day life and 2) develops a human body interference coupling biophysical model. The measurements provided in this paper can serve as a guide for device designs or future EQS-HBC studies as it provides understanding into coupling modalities of interference and accurate interference measurement techniques... Read more
Electroosmosis Based Novel Treatment Approach for Cerebral Edema
This work aims to develop a novel treatment approach for cerebral edema. We propose electroosmosis based treatment to drive edematous fluid out of the brain parenchyma by direct current based on the brain tissue’s electroosmotic property. The predicted results demonstrate that the edematous fluid can be driven out of edema region to subarachnoid space and then absorbed into the superior sagittal sinus together with cerebrospinal fluid to achieve the alleviation of the cerebral edema. The proposed approach has the potential to be developed as a new treatment solely or as a complement to existing conventional treatments of edema... Read more
Pulse Arrival Time Segmentation into Cardiac and Vascular Intervals – Implications for Pulse Wave Velocity and Blood Pressure Estimation
Pulse wave velocity (PWV) is a pressure-dependent marker of arterial stiffness, wherefore pulse arrival time (PAT) has been widely investigated for cuff-less blood pressure (BP) estimation. However, PAT is typically biased by a cardiac delay and peripheral vasculature. Therefore, we demonstrate an ultrasound-based method for central PAT segmentation into cardiac isovolumic contraction (IVC) and vascular pulse transit time (PTT). Contrasting peripheral PAT, central PTT-based PWV explained more than twice as much variability in the reference PWV and yielded significantly lower BP estimation errors. Thereby this unilateral arterial stiffness assessment bears the potential to improve cardiovascular risk assessment in clinical routines... Read more