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 5
IEBEAX
67
TBME, Volume 67, Issue 5, June 2020
MRI Conditional Actively-Tracked Metallic Electrophysiology Catheters and Guidewires with Miniature Tethered Radio-Frequency Traps: Theory, Design and Validation
Cardiovascular interventional devices typically have long metallic braids or backbones to aid in steerability and pushability. However, electromagnetic coupling of metallic-based cardiovascular interventional devices with the radiofrequency (RF) fields present during Magnetic Resonance Imaging (MRI) can make a device unsafe for use in an MRI scanner. We aimed to develop MRI conditional actively-tracked cardiovascular interventional devices by sufficiently attenuating induced currents on the metallic braid/tube and internal-cabling using miniaturized resonant floating RF traps (MBaluns). We provided electromagnetic simulation revealing MBalun critical dimensions, along with phantom heating and swine experiments that validate the designs... Read more
Stable Responsive EMG Sequence Prediction and Adaptive Reinforcement with Temporal Convolutional Networks
Movement prediction from EMG can be performed by compressing a short window of EMG into a feature-encoding that is meaningful for classification— an approach that can cause erratic prediction behavior. Temporal convolutional networks (TCN) leverage temporal information from EMG to achieve superior predictions for 3 simultaneous degrees-of-freedom that are more accurate and stable, have a very low response delay, and allow for novel types of interactive training. Addressing EMG decoding as a sequential prediction problem requires a new set of considerations that will lead to enhancements in the reliability, responsiveness, and movement complexity available from prosthesis control systems... Read more
Foot-Controlled Robot-Enabled EnDOscope Manipulator (FREEDOM) for Sinus Surgery: Design, Control, and Evaluation
Functional endoscopic sinus surgery (FESS) is a common minimally invasive technique but remains manually operated by the surgeon with one hand holding the endoscope most of the time. This article reports a novel robotic system for side-by-side assistance of endoscope positioning with the surgeon in FESS from platform development to clinical validation. The design emphasizes clinical considerations for both operational safety and user ergonomics, which were validated by clinical trials to demonstrate good surgical applicability in terms of efficient robot set-up and enabling three-handed procedures performed by the surgeon alone, without disrupting the routine practice of FESS... Read more
On-Chip Impedance Quantification of Parasitic Voltages During AC Electrokinetic Trapping
Monitoring the effectiveness and location of cell or particle trapping under microfluidic force fields is currently achieved by cumbersome imaging methods that require extensive microscopy to be conducted by a trained operator, with limited ability to rapidly trigger downstream decisions. We present an embedded circuit for an impedance sensor that directly interfaces to a microfluidic chip for the monitoring of cell or particle trapping based on the level and frequency response of parasitic voltage drops measured during AC electrokinetic manipulation, to enable assessment of trapping efficacy of the device geometry and to rapidly inform downstream cell separation decisions... Read more
Development of Dopamine Sensor Using Silver Nanoparticles and PEG Functionalized Tapered Optical Fiber Structure
A medical diagnosis of dopamine used one of the most effective localized surface plasmon resonance (LSPR) optical methods in this study. LSPR technology has many unique features such as real-time monitoring, label-free detection, and smooth integration. Sensor is immobilized with silver-nanoparticles followed by functionalization of polyethylene glycol. Highly sophisticated instruments such as HR-TEM, UV-Vis-spectrophotometer, EDS, and SEM were used for the characterization of nanoparticles and immobilized probe. It shows the great selectivity towards detection of dopamine in the presence of other higher concentrated coexist biomolecules such as ascorbic acid. A noticeable improvement is recorded in the all-important sensing parameters... Read more