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

NOVEMBER 2020
VOLUME 67
NUMBER 11
IEBEAX
67
TBME, Volume 67, Issue 11, November 2020
Tissue Structure Updating for In Situ Augmented Reality Navigation using Calibrated Ultrasound and Two-level Surface Warping
In minimally invasive surgery, in situ augmented reality (AR) navigation systems are usually implemented using a glasses-free 3D display to represent the preoperative tissue structure. However, due to changes in intraoperative tissue, the preoperative tissue structure is not able to exactly correspond to reality. To solve this problem, we propose a method to update the tissue structure for in situ AR navigation in such way to reflect changes in intraoperative tissue. Experiments confirm that the novel AR navigation system based on updating the tissue structure will open up a better approach to provide accurate 3D see-through guidance... Read more
Bio-Inspired Breastfeeding Simulator (BIBS): A Tool for Studying the Infant Feeding Mechanism
An experimental apparatus is developed for a better understanding of breastfeeding anomalies. This bio-inspired breastfeeding simulator (BIBS) mimics the infant’s complex suckling actions, including motions of the palate, tongue, and jaw, as well as sucking and vacuum pressure applied by the infant. BIBS includes a model of human breast, with a liquid mimicking the flow properties of milk, allowing external observations of flow. The design and construction of BIBS follows CT scanned images of the infants' oral cavities and clinical measurements and observations. This novel apparatus is the first to successfully mimic the compression and vacuum pressures exerted by infants... Read more
Muscle-powered Counterpulsation for Untethered, Non-blood-contacting Cardiac Support: A Path to Destination Therapy
Heart failure remains one of the most costly diseases in the industrialized world, both in terms of healthcare dollars and the loss of human life. Despite decades of development in ventricular assist devices (VADs), the five-year survival rate for VAD patients remains barely above 50% due to secondary complications such as bleeding, driveline infection, and pump thrombosis associated with blood-contacting surfaces. Muscle-powered extra-aortic counterpulsation VAD that boosts cardiac function by squeezing the external surface of the ascending aorta during ventricular diastole holds potential as a safe and effective means to treat heart failure patients for long-term... Read more
Soft Nanomembrane Sensors and Flexible Hybrid Bioelectronics for Wireless Quantification of Blepharospasm
This article introduces a soft nanomembrane bioelectronic system that offers wireless, quantitative detection of blepharospasm (BL). A set of computational and experimental studies of materials and mechanics provides the fundamental design factors for the soft bioelectronics. The nanomembrane electrodes, mounted around the eyes, are capable of measuring clinical symptoms, including the frequency of blinking, the duration of eye closures, and combinations of blinking and spasms. The deep-learning algorithm offers objective, real-time classification of critical pathological features in BL. The wearable electronic system outperforms the conventional manual clinical rating, proven by a pilot study with 13 patients... Read more