Dr. Baowei Fei received a CPRIT grant to develop digital twin augmented reality technologies for surgical applications
August 28, 2024
A digital twin (DT) is a virtual counterpart of a real patient with predictive and testing capability through realistic simulation, modeling, and visualization. A digital model of the real patient recapitulates the physical body of the patient and predicts the future outcome including tissue deformation via modeling the organs and physiology. Digital twin is a new concept in medicine, which allows virtual interactions with the body before real interventions and can thus improve surgical precision. The research grant from the Cancer Prevention and Research Institute of Texas (CPRIT) will allow the investigators to develop a digital twin augmented reality (DTAR) platform for the operating room (OR) of the future. A digital twin will be synchronized dynamically with the real patient via feedback mechanisms and will guide the surgeon to the next steps. The DTAR technology can provide a powerful tool for many surgical applications.
Dr. Girgis Obaid received an NIH R01 grant on molecular imaging guidance for chemoimmunotherapy with photodynamic priming
July 1, 2024
Pancreatic ductal adenocarcinoma (PDA) is the 3rd most deadly cancers with a 5-year survival rate of only 3% in patients with metastases. Current efforts to improve outcomes in PDA have yet to significantly extend patient survival. Chemo-immunotherapy is largely limited in PDA by desmoplasia which contributes to 1) poor drug delivery, and 2) an immunosuppressive tumor microenvironment that neutralizes the action of immunotherapies. This project capitalizes on a non-toxic light- activated modality known as photodynamic priming (PDP), which we have shown to directly remediate desmoplasia. In doing so, PDP augments the delivery of small molecular weight therapeutics, monoclonal antibodies, and nanomedicines, and also mechanistically sensitize tumors to both chemotherapy and immunotherapy. The research has the potential to prolong patient survival, while mitigating dose-limiting toxicities and improving patient quality of life.
Dr. Baowei Fei received a five-year NIH R01 grant to develop novel imaging technologies for image-guided surgery
April 1, 2024
Faster recovery, reduced hospital stays, and a quicker return to normal activities are the most evident advantages of laparoscopic surgery. More than 13 million laparoscopic procedures are performed every year. Laparoscopic surgery has become the technique of choice for virtually every kind of abdominal surgery. Robot‐assisted laparoscopic radical prostatectomy is the most common surgical approach performed for prostate cancer. The NIH project will allow the investigators to develop an advanced hyperspectral imaging system for robotics assisted laparoscopic surgery. Hyperspectral imaging (HSI) provides not only high‐resolution spatial images but also spectral data at each pixel. Both spectral and spatial information can be used to identify various types of tissues including malignant tumors. The utilization of quantitative hyperspectral imaging for robot‐assisted laparoscopic surgery represents a major innovation in minimally invasive surgery with the aim of improving surgical outcomes.
CPRIT Grants To Advance Cancer Detection, Treatment Technology
March 29, 2024
The Cancer Prevention & Research Institute of Texas (CPRIT) has awarded grants totaling more than $2 million to two University of Texas at Dallas engineers for their research to develop technologies for early detection of oral cancers and to deliver medication past the blood-spinal cord barrier. Dr. Baowei Fei, professor of bioengineering, received a $1 million grant to develop a handheld imaging tool for early detection of oral and oropharyngeal cancers. Dr. Zhenpeng Qin, associate professor of mechanical engineering and bioengineering, also was awarded $1 million to advance his work to deliver medication to treat spinal cord tumors.
Read more about the news: https://news.utdallas.edu/health-medicine/cprit-grants-2024/
Dr. Baowei Fei delivered a keynote talk at the Interventional Biophotonics Symposium & Summer School at UC Davis
July 17, 2023
The National Center for Interventional Biophotonic Technologies (NCIBT) at UC Davis is funded by the NIBIB to develop new optical imaging technologies for surgical and interventional medical decision-making. Dr. Fei’s talk focused on AI analysis of medical data – quantitative methods in precision medicine: Hyperspectral imaging for cancer detection and image-guided surgery.
Dr. Yichen Ding Received an NIH R01 grant of $1.88M
April 15, 2023
Dr. Ding’s NIH grant entitled “Volumetric imaging and computation to characterize cardiac electromechanical coupling” is funded by the National Heart, Lung, and Blood Institute (NHLBI). Approximately 450,000 individuals in the United States die suddenly from cardiac arrhythmias every year. Many widely used medications such as antiarrhythmic agents, antimicrobials, anticancer drugs, and psychotropic drugs can cause or exacerbate a variety of arrhythmias. The ability to prospectively identify potentially arrhythmogenic compounds would be clinically valuable. Much remains unknown about the involved excitation-contraction coupling abnormalities and mechanisms of arrhythmias associated with specific drugs. For this reason, Dr. Ding seeks to integrate 4-dimensional (4D, 3D spatial + 1D temporal) volumetric imaging with computational model to investigate whether a common mechanism of action underlies drug-induced excitation-contraction coupling abnormalities. The success of this research will establish a new holistic strategy to in vivo investigate sophisticated electromechanical interaction, providing an entry point to further study the underlying mechanism of arrhythmias and prospectively identify arrhythmogenic compounds.
The Center for Imaging and Surgical Innovation held the Open House at the Richardson IQ
December 1, 2022
The Center for Imaging and Surgical Innovation at the University of Texas at Dallas and UT Southwestern Medical Center had a successful open house at the Headquarters for the Richardson Innovation Quarter (IQ) on December 1, 2022. More than 200 faculty, students, and industry leaders attended the Richardson IQ Centers Open House. Thank UT Dallas Office of Research and Innovation and the City of Richardson for providing the facility and space at the Richardson IQ.
Dr. Baowei Fei served as the Chair for the NIH Study Section – ZRG1 MOSS-V
November 3, 2022
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists of experts focused on a particular research field who are charged with reviewing NIH grant proposals. Special Emphasis Panels (SEPs) are held to review applications on special topics and members conflict applications. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 MOSS-V – Member Conflict: Musculoskeletal Sciences in November 2022.
Dr. Baowei Fei organized a Special Panel Session on Engineering Medicine at the BMES Meeting
October 13, 2022
At the Annual Meeting of the Biomedical Engineering Society (BMES), Dr. Baowei Fei organized a Special Panel Session entitled “A new era of engineering medicine – how to educate the next generation of biomedical engineers” and invited national leaders in the space of bioengineering and engineering medicine to discuss the emerging trend on how to educate and train our next generation of biomedical engineers, how to shape and advance the science and technology of bioengineering through innovative research and inspiring education, and how to engage faculty, researchers, and students to play leading roles from basic science discovery to the creation, clinical evolution, and commercialization of new technologies, devices and therapies to improve human health. In a new era of precision medicine, engineering and medicine are converging to solve complex biological and medical problems. Biomedical engineering and computing will be a leading force where quantitative methods of engineering and systems sciences will have a pivotal role in disease detection, diagnostics, and treatment.
Dr. Baowei Fei organized the Inaugural Workshop on Imaging and Data Science
October 7, 2022
The Workshop on Imaging and Data Science brought together the investigators at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas (UT Dallas) and built research collaborations between UT Dallas and UT Southwestern Medical Center (UTSW). The workshop brought engineers, computer scientists, surgeons, radiologists, and clinicians together with the goal of translating innovative imaging and surgical technologies from our engineering laboratories at UT Dallas to clinical settings at UT Southwestern for improving human health. More information can be found from the Workshop website (https://imaging.utdallas.edu/workshop/).
Dr. Baowei Fei served as the Chair for the NIH Study Section – ZRG1 SBIB-C (03)
July 27, 2022
Review activities of the NIH Center for Scientific Review (CSR) are organized into Review Branches (RBs). Each RB represents a cluster of study sections around a general scientific area. NIH grant applications generally are assigned first to an RB, and then to a specific study section within that RB for evaluation of scientific merit. An NIH study section consists experts focused on a particular research field who are charged with reviewing NIH grant proposals. The NIH Center for Scientific Review invited Dr. Fei to chair the NIH Study Section Special Emphasis Panel ZRG1 SBIB-C (03) – Member Conflict: Medical Imaging Investigations in July 2022.
Dr. Baowei Fei delivered a Keynote Talk at the International Association for Spectral Imaging (IASIM) Conference in Denmark.
July 4, 2022
The objective of the International Association for Spectral Imaging (IASIM) is to provide a unified open and interactive forum for the exchange of information and ideas within the general spectral imaging community, regardless of the image spectral range (ultraviolet, visible, near, mid, or far infrared, or mass spectrometry) or spatial range (microscopic, macroscopic, remote sensing). The biannual conference brought together speakers, contributors, attendees and exhibitors from areas covering all aspects of spectral imaging (microscopic, macroscopic, remote sensing) and a large variety of spectroscopic techniques. Dr. Fei was invited to give a keynote talk on medical hyperspectral imaging at the international conference.
Dr. Baowei Fei received the 2022 Faculty Research Award of the Jonsson School of Engineering and Computer Science
April 1, 2022
The Faculty Research Awards recognize three Jonsson School faculty members (one assistant professor, one associate professor, and one full professor) for their outstanding research contributions and are given annually at the Recognition of the School Annual Faculty Assembly. Dr. Fei is the recipient of the Faculty Research Award at the full professor level, which honors one senior faculty member of the Jonsson School of Engineering and Computer Science at the University of Texas at Dallas, who has produced exceptional research.
Dr. Baowei Fei served as the Chair for the NIH Study Section – P41 NIBIB Review F-SEP
March 5, 2022
Dr. Fei chaired the NIH Study Section Panel (ZEB1 OSR-F M2) for the National Institute of Biomedical Imaging and Bioengineering (NIBIB). The NIH Panel consisted of experts and leaders in the field of biomedical imaging and provided the scientific review for the NIBIB Center Grant applications.
Dr. Heather Hayenga’s research and story in the news
Febuary 11, 2022
UTD Bioengineer’s Rare Cancer Inspires Common Research Mission
Dr. Shashank Sirsi and his research in the News
October 27, 2021
UT Dallas News:
Bioengineer’s Cancer Research Hits Close to Home with Son’s Diagnosis
WFAA News:
UT-Dallas bioengineer’s motivation: Saving his own son
NBC News:
Bioengineer’s Son Battles Same Cancer He Has Researched for Years
Eight undergraduate students each published their first papers in 2020
January 14, 2021
Congratulate 8 undergraduate students who published their first papers on their undergraduate research works in the Quantitative Bioimaging Laboratory (QBIL) in 2020. These papers are listed below and are published and indexed by PubMed. They are the first author and their names are in bold.
1. James Huang, Halicek M, Shahedi M, Fei B. Augmented reality visualization of hyperspectral imaging classifications for image-guided brain tumor phantom resection. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113150U. doi: 10.1117/12.2549041. Epub 2020 Mar 16. PMID: 32606488; PMCID: PMC7325483. https://pubmed.ncbi.nlm.nih.gov/32606488/
2. Patric Bettati, Chalian M, Huang J, Dormer JD, Shahedi M, Fei B. Augmented Reality-Assisted Biopsy of Soft Tissue Lesions. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113150W. doi: 10.1117/12.2549381. Epub 2020 Mar 16. PMID: 32528216; PMCID: PMC7289183. https://pubmed.ncbi.nlm.nih.gov/32528216/
3. Matthew Pfefferle, Shahub S, Shahedi M, Gahan J, Johnson B, Le P, Vargas J, Judson BO, Alshara Y, Li Q, Fei B. Renal biopsy under augmented reality guidance. Proc SPIE Int Soc Opt Eng. 2020 Feb;11315:113152W. doi: 10.1117/12.2550593. Epub 2020 Mar 16. PMID: 32476704; PMCID: PMC7261605. https://pubmed.ncbi.nlm.nih.gov/32476704/
4. Jose Vargas, Le P, Shahedi M, Gahan J, Johnson B, Dormer JD, Shahub S, Pfefferle M, Judson BO, Alshara Y, Li Q, Fei B. A complex dual-modality kidney phantom for renal biopsy studies. Proc SPIE Int Soc Opt Eng. 2020 Feb;11319:113190J. doi: 10.1117/12.2549892. Epub 2020 Mar 16. PMID: 32476707; PMCID: PMC7261611. https://pubmed.ncbi.nlm.nih.gov/32476707/
5. Amol Mavuduru, Halicek M, Shahedi M, Little JV, Chen AY, Myers LL, Fei B. Using a 22-Layer U-Net to Perform Segmentation of Squamous Cell Carcinoma on Digitized Head and Neck Histological Images. Proc SPIE Int Soc Opt Eng. 2020 Feb;11320:113200C. doi: 10.1117/12.2549061. Epub 2020 Mar 16. PMID: 32476709; PMCID: PMC7261613. https://pubmed.ncbi.nlm.nih.gov/32476709/
6. Abhishaike Mahajan, Dormer J, Li Q, Chen D, Zhang Z, Fei B. Siamese neural networks for the classification of high-dimensional radiomic features. Proc SPIE Int Soc Opt Eng. 2020 Feb;11314:113143Q. doi: 10.1117/12.2549389. Epub 2020 Mar 16. PMID: 32528215; PMCID: PMC7288755. https://pubmed.ncbi.nlm.nih.gov/32528215/
7. Ka’Toria Edwards, Chhabra A, Dormer J, Jones P, Boutin RD, Lenchik L, Fei B. Abdominal muscle segmentation from CT using a convolutional neural network. Proc SPIE Int Soc Opt Eng. 2020 Feb;11317:113170L. doi: 10.1117/12.2549406. Epub 2020 Feb 28. PMID: 32577045; PMCID: PMC7309562. https://pubmed.ncbi.nlm.nih.gov/32577045/
8. Chris Tran, Halicek M, Dormer JD, Tandon A, Hussain T, Fei B. Fully automated segmentation of the right ventricle in patients with repaired Tetralogy of Fallot using U-Net. Proc SPIE Int Soc Opt Eng. 2020 Feb;11317:113171M. doi: 10.1117/12.2549052. Epub 2020 Feb 28. PMID: 32476706; PMCID: PMC7261612. https://pubmed.ncbi.nlm.nih.gov/32476706/
New CPRIT Grant to Develop Smart Surgical Microscope and Artificial Intelligence
January 14, 2021
Dr. Baowei Fei, the Cecil H. and Ida Green Chair in Systems Biology Science at UT Dallas, is developing a smart surgical microscope that uses hyperspectral imaging and artificial intelligence to detect cancer cells during surgery. He recently received a $1.6 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to further develop the technology. Hyperspectral imaging, originally used in satellite imagery, orbiting telescopes and other applications, goes beyond what the human eye can see as cells are examined under ultraviolet and near-infrared lights at micrometer resolution. By analyzing how cells reflect and absorb light across the electromagnetic spectrum, experts can get a spectral image of cells that is as unique as a fingerprint. For more information, visit the following website:
https://www.utdallas.edu/news/research/cancer-smart-surgical-microscope-fei-2019/
PhD Dissertation won the 2020 PhD Thesis Award from the Editor-in-Chief of MDPI Sensors
November 16, 2020
The PhD Thesis Award is organized annually by the Editor-in-Chief of MDPI Sensors. One outstanding PhD thesis is selected as the winner from the applications worldwide. Dr. Martin Halicek, a PhD student from Dr. Baowei Fei’s lab, won the 2020 PhD Thesis Award. The title of his thesis is “Development of deep learning methods for head and cancer detection in hyperspectral imaging and digital pathology for surgical guidance”.
Dr. Baowei Fei received the FRIEND Award from the Office of Research and Innovation at UT Dallas
November 1, 2020
The Federal Research Innovation and ExpeNditures Dynamo (FRIEND) Awards of the Office of Research and Innovation are recognized based on achieving a cumulative level of federal research expenditures (CLFRE) in excess of $500,000 as either PI or co-PI for fiscal year 2020. Dr. Fei was a recipient of the 2020 FRIEND Award that was signed by Dr. Joseph Pancrazio, the Vice President for Research, and Dr. Richard Benson, President of the University of Texas at Dallas.
Dr. Shashank Sirsi Received Major NIH Grant
July 29, 2019
Dr. Shashank Sirsi, assistant professor of bioengineering at the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas, recently received funding from the National Institutes of Health (NIH) to develop superior image-guided methods of delivering chemotherapeutics to neuroblastoma. Neuroblastoma most commonly arises in the adrenal gland and kidneys, but also other areas of the abdomen. Unlike many tumors, neuroblastomas are poorly perfused, requiring high-dosage chemotherapy, which can have deleterious short and long-term side effects in children. Currently, no clinical methods exist to optimize drug uptake in neuroblastoma in vivo. Methods of improving drug delivery to tumors are needed to improve therapy. In this study, we propose an innovative image-guided combinatorial drug therapy approach to remodel the tumor vasculature and treat neuroblastoma, using anti-VEGF antibody, bevacizumab (BV), in combination with acoustically delivered liposomal doxorubicin (L-DOX). Neither BV therapy nor L-DOX are currently indicated for neuroblastoma treatment, but together with sound-sensitive ultrasound contrast agents (UCA’s) they have the potential to dramatically improve neuroblastoma treatment efficacy. BV therapy was designed to induce vascular regression, however we and others have demonstrated that repetitive BV therapy causes vascular remodeling in NGP mouse tumor models by “cooption” of surrounding vessels and potentially making them more amenable to drug uptake by reducing mature pericyte coverage thereby compromising vascular integrity. In combination with BV therapy, we will test a novel platform for enhancing drug uptake in tumors utilizing ultrasound sensitive particles, called “Acoustic Clusters” (ACs), to maximize payload of doxorubicin specifically to tumor tissue. ACs are chemically crosslinked gas-filled spheres (“microbubbles”, ~1 μm diameter each) that vibrate in an ultrasound field. AC’s are assembled using drug carrying liposomes and are specifically designed to solubilize liposome-encapsulated drugs on-demand during ultrasound stimulation. ACs can also permeabilize blood vessels facilitating uptake of released drugs. We will test several novel image-guided drug delivery strategies using microbubble (and nanodroplet) based ACs to “uncage” encapsulated doxorubicin (with and without permeabilizing blood vessels) to maximize drug uptake in tumors. The strategy of simultaneously releasing drugs and permeabilizing vasculature is a novel approach that will enable more efficient drug targeting and eliminate the reliance on endogenous tumor vascular permeability for liposome encapsulated drug carrying molecules, such as L-DOX. The techniques developed in this study would be applicable to a wide range of drugs and cancers toward improving overall treatment efficacies.
Dr. Fei Recognized Among Top in His Field with AIMBE Honor
July 29, 2019
Dr. Baowei Fei, a distinguished bioengineer at The University of Texas at Dallas, has been elected to the College of Fellows of the American Institute for Medical and Biological Engineering (AIMBE), an honor that represents the top 2 percent of individuals in medical and biological engineering.
Fei, who also is a professor in the Department of Radiology at UT Southwestern Medical Center, was elected for his transformative research in medical imaging and impact on cancer care. His work in quantitative imaging and image-guided intervention allows physicians to more precisely pinpoint cancer cells for earlier diagnosis and treatment, which can lead to better patient care and survival rates.
The College of Fellows comprises more than 2,000 outstanding medical and biological engineers in academia, industry and government, including engineering and medical school chairs, research directors, professors, innovators and successful entrepreneurs.
“Dr. Baowei Fei’s election as a fellow in AIMBE is driven by his distinctive and impactful research toward cancer treatment,” said Dr. Joseph J. Pancrazio, vice president for research at UT Dallas and professor of bioengineering, who was inducted as an AIMBE fellow in 2011. “The reputation of UTD’s bioengineering department has been growing substantially over the last several years, and Dr. Fei is a shining example of the clinical impact that can be achieved at the intersection of engineering, computer science and biomedicine.”
“Dr. Baowei Fei’s election as a fellow in AIMBE is driven by his distinctive and impactful research toward cancer treatment. The reputation of UTD’s bioengineering department has been growing substantially over the last several years, and Dr. Fei is a shining example of the clinical impact that can be achieved at the intersection of engineering, computer science and biomedicine.”
Dr. Joseph J. Pancrazio, vice president for research at UT Dallas
Fei’s work benefits medicine specifically in the areas of cancers of the prostate, head and neck, and heart disease. His group developed a technology system called molecular imaging directed, 3D ultrasound-guided biopsy, which improved upon 2D systems by allowing for earlier detection of potentially cancerous cells in the prostate. The technology is compatible with Fei’s larger goal: to support personalized precision medicine and customization of health care to the individual patient.
“Precision medicine is the tailoring of medical treatment to the individual characteristics of each patient. The approach relies on our understanding of how a person’s unique molecular and genetic profile makes them susceptible to certain diseases,” Fei said.
Imaging technology is considered a leading advancement in personalized medicine.
“By quantifying the size and activity of cellular, molecular and metabolic happenings, we can better distinguish tissue that is normal from malignancy in an accurate, precise and consistent manner. With new imaging technology, we can then detect cancer early, before the disease progresses. It can also improve quality of life, lower health care costs and save lives,” he said.
Dr. Poras T. Balsara, interim dean of the Jonsson School, said Fei’s reputation for collegiality matches his research prowess.
“His courteousness and humility in his daily interactions and eagerness to mentor junior faculty members and students will enable him to find success and stand out even in the most competitive environments,” Balsara said.
Fei was formally inducted during a ceremony at AIMBE’s annual meeting in March in Washington, D.C. He joined UT Dallas in April 2018.
Dr. Kenneth Hoyt and Team Receive Major NIH Grant
July 29, 2019
Dr. Kenneth Hoyt, associate professor of bioengineering at the Erik Jonsson School of Engineering and Computer Science at The University of Texas at Dallas, recently received funding from the National Institutes of Health (NIH) to study three-dimensional super-resolution ultrasound imaging (3D SR-US), specifically for breast cancer detection and treatment in the presurgical, or neoadjuvant, setting. The significant grant will total more than $1.4 million over four years.
“The overarching goal of the funded research project is to develop a new 3D SR-US imaging system and image processing algorithms to improve breast cancer detection and assessment of early response to treatment,” said Hoyt.
Hoyt, director of the Small Animal Imaging Core Facility, recently published research on SR-US in Medical Physics in 2017, the Journal of Clinical Investigation in 2018, and the Journal of Ultrasound in Medicine in 2019. Hoyt previously applied the imaging techniques to detect skeletal muscle microvascular dysfunction, specifically as a response to type 2 diabetes. Because SR-US has successfully quantified microvascular changes to skeletal muscle including insulin resistance in small animals with diabetes, Hoyt aims to apply the safe, low-cost imaging techniques to breast cancer.
Aggressive breast cancers can display distinctive microvascular characteristics as an ample blood supply is needed for these tumors to grow and metastasize. These microvascular networks can change quickly in response to effective treatment. Currently, physicians must use more invasive techniques such as tissue biopsies to study tissue changes, but the new 3D SR-US imaging system could be used in vivo, or within a whole, living organism. By effectively adapting the 3D SR-US imaging technique to breast cancer biomarkers, the imaging research could ultimately lead to improved breast cancer detection and early response assessment within weeks of starting treatment.
“While super-resolution ultrasound is in its infancy, there is tremendous momentum spurring continued development of this clinically translatable imaging modality,” Hoyt said.
The funded research project will feature broad, multidisciplinary collaboration between UT Dallas and UT Southwestern Medical Center. Hoyt provides experience in ultrasound instrumentation and signal processing; Dr. Baowei Fei, professor of bioengineering at UT Dallas, provides expertise in quantitative imaging and machine learning; Dr. Shashank Sirsi, assistant professor of bioengineering at UT Dallas, will focus on ultrasound contrast agent development; Dr. Jung-Whan (Jay) Kim, assistant professor of biological sciences at UT Dallas, will focus on cancer biology; and Dr. Basak Dogan, associate professor of radiology and Eugene P. Frenkel Endowed Scholar in Clinical Medicine at UT Southwestern will help guide technology development to facilitate future translational studies in breast cancer patients.
Dr. Baowei Fei Named Fellow of SPIE
July 29, 2019
Dr. Baowei Fei was recently named a new Fellow of the International Society for Optics and Photonics (SPIE) and will be honored at the Plenary Session of the International Conference of SPIE Medical Imaging in San Diego, CA in February 2019.
“It is my honor being a faculty member of Bioengineering at the Erik Jonsson School of Engineering and Computer Science at UT Dallas. It is my privilege being part of this rapidly growing department and this rapidly growing university. Thank you for all your support.”
Fei, who joined the Jonsson School in 2018, is recognized as a prominent researcher in image-guided intervention.
From the SPIE website:
SPIE, The International Society for Optics and Photonics, was founded in 1955 to advance light-based technologies. Serving more than 264,000 constituents from approximately 166 countries, the not-for-profit society advances emerging technologies through interdisciplinary information exchange, continuing education, publications, patent precedent, and career and professional growth. SPIE annually organizes and sponsors approximately 25 major technical forums, exhibitions, and education programs in North America, Europe, Asia, and the South Pacific.
SPIE publishes the SPIE Digital Library, containing more than 480,000 research papers from the Proceedings of SPIE and the Society’s 11 scholarly journals with around 18,000 new papers added each year, and more than 350 eBooks from the SPIE Press catalog. The SPIE Press publishes print monographs, tutorial texts, Field Guides, and reference books. SPIE also publishes a wide variety of open access content.
The Society has named more than 1,200 SPIE members as Fellows since 1955. The Society welcomes 88 Members as new SPIE Fellows this year 2019, honored for their significant scientific and technical contributions in optics, photonics, imaging, and related fields.
Dr. Baowei Fei serves as the Chair for the NIH Study Section: ZCA1 RPRB-N (J2) Integrating Biospecimens into Clinical Assay Development (U01)
November 15, 2018
This Funding Opportunity Announcement (FOA) will support extramural research to investigate and mitigate challenges facing clinical assay development due to biopsy biospecimen preanalytical variability. The program will tie in with current efforts to optimize clinical biomarker assays utilized in NCI-sponsored clinical trials. Results from this research program will improve the understanding of how biopsy collection, processing, and storage procedures may affect all aspects of analytical performance for current and emerging clinical biomarkers, as well as expedite clinical biomarker assay development through the evidence-based standardization of biopsy handling practices. Critical information gained through these research awards may increase the reliability of clinical biomarker assays, reduce time requirements for assay development, and decrease assay failure during late-stage testing.
Dr. Baowei Fei was appointed as Cecil H. and Ida Green Chair in Systems Biology Science by the University of Texas at Dallas
September 10, 2018
Provost Musselman of the University of Texas at Dallas appointed Dr. Baowei Fei to the endowed faculty position Cecil H. and Ida Green Chair in Systems Biology Science #3, one of the honorific appointment awarded by the University to its most distinguished faculty members.
Dr. Fei received a new NIH R01 grant on image-guided intravascular robotic system for mitral valve repair and implants.
March 15, 2018
Mitral regurgitation (MR) is one of the most common valve lesions, which affects 9 million Americans, and is known to increase morbidity and mortality. MR occurs due to leakage of blood through the mitral valve and induces volume overload on the left ventricle, elevates diastolic wall stress and causes rapid left ventricular dilatation, ultimately leading to congestive heart failure within 5 years and death. Timely and effective repair of MR is of utmost importance to halt the progression of heart failure, but current options are limited. Open- heart surgery is the current standard of care and has a relatively high risk of post-operative mortality. Transcatheter mitral valve repair, is a new class of technologies in which MR repair is performed on a beating heart using a catheter that is guided to the mitral valve to deploy reparative devices. However, the route to the mitral valve is a challenging path for existing catheters to follow. The complexity associated with their implantation in a beating heart, often leads to failed procedures and conversion to open heart surgery. We propose to develop a novel intravascular steerable robot that is guided to the mitral valve by multimodality imaging and deploys a novel, low profile device that can effectively repair MR of all forms. This highly innovative and interdisciplinary project combines expertise in surgical robotics, imaging and mitral repair devices. We envision that the intravascular steerable robot and implant, guided by multimodality imaging will significantly simplify Transcatheter mitral valve repair, increasing the procedural accuracy and control, and reducing failure rates.