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

TBME, Volume 69, Issue 1, January 2022
IEEE Transactions on

Biomedical Engineering

Biomedical Engineering
JANUARY 2022
VOLUME 69
NUMBER 1
IEBEAX
69
Semi-Automatic Planning and Three-Dimensional Electrospinning of Patient-Specific Grafts for Fontan Surgery
This work aims to develop a semi-automatic tissue engineered vascular graft (TEVG) planning method for designing and 3D-printing hemodynamically optimized Fontan TEVGs. We present a computation framework by parameterizing Fontan grafts to explore patient-specific vascular graft design space and search for optimal designs. We employed nonlinear constrained optimization technique to minimize indexed power loss of Fontan grafts while keeping hepatic flow distribution (HFD) and percentage of abnormal wall shear stress (%WSS) within clinically acceptable thresholds. Our work significantly reduces the collaborative effort and turnaround time between clinicians and engineering teams for designing patient-specific hemodynamically optimized TEVGs... Read more
Correcting Presbyopia with Autofocusing Liquid-Lens Eyeglasses
Most individuals older than 40 years old experience a progressive loss of vision accommodation. This results in significant degradation of visual acuity even when using state-of-the-art multifocal corrective eyeglasses. We present a new type of ergonomic, lightweight, opto-electromechanical autofocusing eyeglasses that adaptively change optical power to bring line-of-sight objects into focus. Subject-specific accommodation models were utilized to demonstrate high-fidelity accommodation restoration. This new type of active correction eyewear has the potential to restore pre-presbyopic levels of accommodation in subjects diagnosed with presbyopia... Read more
Fluoroscopic Navigation for a Surgical Robotic System including a Continuum Manipulator
We present an image-based navigation solution for a surgical robotic system with a continuum manipulator. Our navigation system uses only fluoroscopic images from a mobile C-arm to estimate the continuum manipulator’s shape and pose with respect to the bone anatomy. The continuum manipulator’s pose and shape estimation is achieved using multiple view image intensity-based 2D/3D registration. A learning-based framework is used to detect the continuum manipulator for automatic pose initialization. Our system was tested in both simulation and cadaveric studies. The results suggest that our proposed fluoroscopic navigation is feasible to guide the continuum manipulator in orthopedic applications... Read more
Multimodal Imaging of Laser Speckle Contrast Imaging Combined with Mosaic Filter-Based Hyperspectral Imaging for Precise Surgical Guidance
The goal of this study is to develop a multi-modality imaging system combining visible, hyperspectral imaging (HSI), and laser speckle contrast imaging (LSCI) to guide surgical procedures for organ transplantation and resection. Resection sites are specified through high-resolution general imaging and LSCI, which makes blood perfusion observable without labels or contrast agents. Tissues are classified by HSI of hemodynamic biomarkers. The multimodal device is capable of monitoring oxygen saturation from the spectral changes characteristic of blood to detect thrombosis, perfusion, and hemorrhage. Based on these technologies, the risks to patients in the operating room can be minimized... Read more
C2MA-Net: Cross-modal Cross-Attention Network for Acute Ischemic Stroke Lesion Segmentation based on CT Perfusion Scans
This work adds a cross-modal and cross-attention (C2MA) mechanism into a deep learning network aiming to improve accuracy and efficacy of acute ischemic stroke (AIS) lesion segmentation from CT perfusion maps. The proposed network uses a C2MA module directly to establish a spatial-wise relationship by using the multigroup non-local attention operation between two modal features and performs dynamic group-wise recalibration through group attention block. This study demonstrates the advantages of applying C2MA-network to segment AIS lesions, which yields promising segmentation accuracy and proves the potential of applying cross-modal interactions in attention to assist in identifying new imaging biomarkers for more accurately predicting AIS prognosis in future studies... Read more
Laparoscopic Probe for Sentinel Lymph Node Harvesting using Magnetic Nanoparticles
Sentinel lymph node harvesting during minimal invasive surgery has the potential to improve cancer patient prognosis, treatment and recovery. The use of a magnetic tracer is preferred to bypass radiation and strict regulations. This work introduces a novel minimal invasive magnetic detection prototype, utilizing a nonlinear detection principle (differential magnetometry) for magnetic identification of sentinel lymph nodes. The iron content sensitivity, depth & spatial sensitivity, and angular sensitivity are analyzed. The results are satisfactory and the magnetic route is promising as an alternative to the radioactive technique and as an addition to the fluorescent technique for laparoscopic surgery... Read more
A factorial approach for optimizing the design parameters of a tissue attachment mechanism for drug delivery
In this work, a tissue attachment mechanism (TAM) was designed, optimized, and validated for a drug delivery ingestible capsule robot with a straightforward and mass-producible fabrication process. For the first time with this type of device, an optimization process was conducted on live tissue incorporating the dynamic nature of tissue response, and an attachment success rate of 92% was achieved. The duration test in a live and mobile large animal model showed a consistent and reliable attachment duration of over 30 hours, making the TAM a suitable candidate for a 24-hour long systemic drug delivery platform... Read more
Intramuscular EMG-driven Musculoskeletal Modelling: Towards Implanted Muscle Interfacing in Spinal Cord Injury Patients
EMG-driven neuromusculoskeletal (NMS) modelling approaches have been developed to estimate user-intended joint moments. This study proposes intramuscular EMG-driven NMS modelling as a control method applied to recordings from muscle implants with the long-term goal of applications in assistive exoskeletons for spinal cord injury (SCI) patients. We recorded intramuscular EMG (iEMG) and provided joint torque predictions based on the NMS model. The approach was applied to healthy individuals as well as incomplete SCI patients. The results showed high correlation between experimental and predicted joint torques as well as comparable performance when using non-invasive and implanted EMG systems... Read more
Effects of Gene Delivery Approaches on Differentiation Potential and Gene Function of Mesenchymal Stem Cells
This work aims to investigate the capacity of four gene delivery vehicles to transfect human adult MSCs and evaluate the effects of these delivery vehicles on the cell viability, morphology, and differentiation potential of MSCs. We validate optimal transfection conditions and demonstrate that osteogenic or adipogenic commitment bias depends on different delivery vehicles' exposure. We further knock out PPARγ gene via CRISPR/Cas9 using each delivery vehicle and indicate various effects of gene carriers on gene function. Our findings suggest that robotic microinjection is a promising method to minimize disruption on MSC function... Read more