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

APRIL 2020
VOLUME 67
NUMBER 3
IEBEAX
67
The IEEE Transactions on Biomedical Engineering, Volume 67, Issue 4 has been published.
Wireless Hyperthermia Stent System for Restenosis Treatment and Testing with Swine Model
This work presents a wirelessly powered stent system developed towards endohyperthermia treatment of in-stent restenosis, renarrowing of stented artery. The gold-coated stainless-steel stent is designed to form a radiofrequency resonator with an integrated capacitor microchip. Upon deployment, the stent serves... Read more
Toward Safe Retinal Microsurgery: Development and Evaluation of an RNN-based Active Interventional Control Framework
An active interventional control framework (AICF) has been presented to increase operation safety by actively intervening the operation to avoid exertion of excessive forces to the sclera in retinal surgery. AICF consists of the steady-hand eye robot as the robotic... Read more
A Deep Learning Framework for Single-Sided Sound Speed Inversion in Medical Ultrasound
Shear wave elastography constitutes the deployed state of the art for assessing mechanical properties of tissue, with numerous diagnostic applications. It is however limited to high-end hardware due to power requirements, is sensitive to sonographer and patient motion, and suffers... Read more
In-vivo Intrathecal Tracer Dispersion in Cynomolgus Monkey Validates Wide Biodistribution Along Neuraxis
Intrathecal (IT) drug administration bypasses the blood-brain barrier by injecting therapeutic molecules directly into the central nervous system. Infusion experiments demonstrate the intrathecal route as a viable method for targeting molecules to the spine or the brain. Multimodal imaging confirms... Read more
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Gradient-induced mechanical vibration of neural interfaces during MRI
The frequency spectrum of gradient pulses and the mechanical resonance frequencies of neural implants often overlap. This raises the question as to whether gradient switching could accidentally trigger amplified mechanical vibrations. We have developed a model system, which enables the analysis... Read more
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Wireless Resonant Circuits Printed Using Aerosol Jet Deposition for MRI Catheter Tracking
An ischemic stroke is caused by a blood clot in the vessels that feed the brain, and can be treated by a thrombectomy procedure. MRI provides the gold standard in determining whether this catheter-based procedure is safe. We report a... Read more
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Generalized modeling framework of metal oxide-based non-enzymatic glucose sensor: concepts, methods, and challenges
Most glucose sensors are enzymatic, but a non-enzymatic metal oxide-based glucose sensor on a nanostructured substrate is of considerable interest for future always-on wearable closed-loop sensing for hypoglycemia management. We have developed a physics-based model to correlate the geometrical and... Read more