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

JANUARY 2021
VOLUME 67
NUMBER 12
IEBEAX
67
TBME, Volume 67, Issue 12, January 2021
Progress in nanorobotics for advancing biomedicine
Nanorobotics involves developing robotic devices to perform tasks at the nanometer scale. Nanorobotic systems can themselves be miniature in size (nanorobot), or they may be designed to interact with nano-sized matters (nanomanipulator). In the past decades, the breakthroughs of various nanorobotic systems and their applications in life sciences have offered novel possibilities for addressing biomedical issues and expanded the field of medical robotics, indicating that we are realizing the application scene of nanorobotics which has long been a fantasy in science fiction. Here, the recent advances in nanorobotics for biomedical applications are summarized and future perspectives are presented... Read more
A Novel Theranostic Platform: Integration of Magnetomotive and Thermal Ultrasound Imaging with Magnetic Hyperthermia
This paper describes a theranostic system where a single coil is used to apply two different magnetic fields for magnetic hyperthermia (therapy) and magnetomotive ultrasound (diagnostics). This integrated system is proposed to address two of the main challenges that hinder magnetic hyperthermia to be translated into clinical routine: localizing the magnetic nanoparticles (magnetomotive ultrasound) and real-time temperature monitoring (ultrasound thermometry). We believe this study can open up a new horizon in magnetic hyperthermia, where planning, treating, and monitoring can be achieved through a single nanotheranostic agent and a cost-effective, portable, real-time and clinically available imaging device that uses non-ionizing radiation... Read more
Automatic control of prosthetic socket size for people with transtibial amputation: Implementation and Evaluation
People wearing a lower leg prosthesis often experience discomfort or pain during the day because of changes in socket fit. To solve this problem, we created a motor-actuated prosthetic socket that automatically maintains socket fit by continuous adjustment of the socket size. A proportional-integral (PI) control system is implemented to adjust socket size based on data collected from an inductive sensor embedded within the socket wall. The sensed distance is representative of limb-to-socket distance. Experiments on participants with transtibial limb amputation verify that the system properly maintains and responds to a change in set point to maintain socket fit... Read more
A Bayesian approach for coincidence resolution in microfluidic impedance cytometry
Microfluidic impedance cytometers are label-free systems for single-cell electrical characterization, which find application within life sciences, medicine, and environmental monitoring. However, their throughput and accuracy are limited by coincidences (i.e., two or more particles passing through the sensing zone nearly simultaneously), which may lead to errors in the measured particle properties. As an example, in a liquid biopsy application, a signal with unusually high amplitude could be interpreted as a circulating tumour cell while it is instead a doublet of red blood cells, or vice versa. In this work, a strategy for coincidence resolution is proposed... Read more
Patient-Specific Sensor Registration for Electrical Source Imaging Using a Deformable Head Model
Electrical Source Imaging is a technique that estimates cortical sources responsible for scalp potentials measured by EEG electrodes. Electrical activity is modeled and reconstructed by formulating a forward problem that describes how electrical currents generated by the cortex travel to the scalp, and solving an inverse problem to estimate cortical sources responsible for measured scalp values. This work presents a model-based approach to electrode localization that is fully automatic, it requires only an MRI scan of the subject without any additional user input, thereby accelerating localization and streamlining clinical workflows... Read more