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

JULY 2020
VOLUME 67
NUMBER 7
IEBEAX
67
TBME, Volume 67, Issue 7, July 2020
Monocular 3D Probe Tracking for Generating Sub-Surface Optical Property Maps From Diffuse Optical Spectroscopic Imaging
Light-based, or biophotonic, technologies are safe and portable tools for assessing tissue health. Above, we see how a handheld optical probe uses frequency modulated light to assess subsurface tissue composition by measuring molecular concentrations of absorbing and scattering media. However, assessing large tissue regions (e.g., in breast cancer) is traditionally a tedious and rigid process with ramifications for longitudinal follow-up. Here, we developed an overhead camera system that, paired with probe geometry knowledge, can track the probe in 3D as it is scanned across the tissue (as above), enabling real-time operator driven optical imaging... Read more
Real-time Radiofrequency Ablation Lesion Depth Estimation Using Multi-Frequency Impedance with a Deep Neural Network and Tree-based Ensemble
A combination of different machine learning algorithms and a hardware setup that consists of an embedded system and a 3D-printed electrode device is used to monitor the progress of radiofrequency ablation depth on a perfused breast tissue model. The device at the center of the tissue model both applied the alternating current and collected the tissue impedance data at multiple frequencies, which is fed into tree-based ensemble (TE) models and a deep neural network (DNN). Their predictions showed a mean difference against physical measurements of 0.5 mm for the DNN and 0.7 mm for the TEs... Read more
A Clinical Prototype Transrectal Diffuse Optical Tomography (TRDOT) System for In vivo Monitoring of Photothermal Therapy (PTT) of Focal Prostate Cancer
Prostate focal therapy targets only cancerous lesions in the prostate while ensuring no treatment effect on critical structures such as the rectum. In this work, we report on the assembly and testing of a transrectal diffuse optical tomography (TRDOT) system for monitoring the size of coagulated lesions generated during photothermal focal therapy of prostate tumors. During treatment, TRDOT signal is sensitive to the large increase in tissue optical scattering that occurs with thermally-induced tissue coagulation. Using ex vivo samples, we demonstrate that TRDOT can accurately map the size of a treatment-induced lesion and show that clinical measurements are feasible... Read more
Optical Coherence Tomography Guided Robotic Needle Insertion for Deep Anterior Lamellar Keratoplasty
Deep anterior lamellar keratoplasty (DALK) is a promising form of partial-thickness cornea transplantation, but its popular “big bubble” technique frequently fails due to difficulty controlling a needle insertion into the cornea. We addressed the surgeon challenges that reduce success rates by demonstrating an optical coherence tomography (OCT)-guided, robotically stabilized workstation for manually or automatically performing DALK needle insertions. In a study with cornea fellows, we found that OCT visualization versus the standard stereo microscope was a key enabler in manual attempts and that our automatic robotic method met or exceeded the performance of cornea fellows... Read more
Stimulation Pattern Efficiency in Percutaneous Auricular Vagus Nerve Stimulation: Experimental versus Numerical data
Percutaneous electrical stimulation of the auricular vagus nerve (pVNS) is an electroceutical technology. Stimulation patterns are empirical, which may lead to under-stimulation or over-stimulation. The objective is to assess the experimental efficiency of different stimulation patterns in volunteers and to compare it with in-silico ear models. Monophasic (MS), biphasic (BS) and a novel triphasic stimulation (TS) patterns were tested. TS indicates experimental superiority over BS which is superior to MS. Numerical results indicate a slight superiority of BS and TS over MS. TS yields the highest number of asynchronous action impulses. The study favors the novel TS pattern... Read more