Building a brighter way for capturing cancer during surgery

The research work by Dr. Baowei Fei’s Lab has been featured by AAAS and EurekAlert!. In a study published in the Sept. 14 edition of the journal Cancers, Dr. Fei and colleagues showed that hyperspectral imaging and artificial intelligence could predict the presence of cancer cells with 80% to 90% accuracy in 293 tissue specimens from 102 head and neck cancer surgery patients. Dr. Fei recently received a $1.6 million grant from the Cancer Prevention & Research Institute of Texas (CPRIT) to further develop the technology, called a smart surgical microscope. For more information, visit the following website:

New CPRIT Grant to Develop Smart Surgical Microscope and Artificial Intelligence

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:

New NIH Grant to Support Research on Deep Learning for CT Image Standardization

Lung cancer is the leading cause of cancer death and one of the most common cancers among both men and women in the United States. Recent advances in high-resolution imaging set the stage for radiomics to become an active emerging field in cancer research. However, the promise of radiomics is limited by a lack of image standardization tools, because computed tomography (CT) images are often acquired using scanners from different vendors with customized acquisition parameters, posing a fundamental challenge to radiomic studies across sites. To overcome this challenge, especially for large-scale, multi-site radiomic studies, advanced algorithms are required to integrate, standardize, and normalize CT images from multiple sources. We propose to develop STAN-CT, a deep learning software package that can automatically standardize and normalize a large volume of diagnostic images to facilitate cross-site large-scale image feature extraction for lung cancer characterization and stratification. STAN-CT will enable a wide range of radiomic researches to identify diagnostic image features that strongly associated with lung cancer prognosis.

A New Technique for Targeted Prostate Cancer Biopsies

Dr. Baowei Fei’s research on prostate cancer biopsy has been featured by Scientia Global that is a series of outreach research publications. Scientia Global connects people: scientists and educators, policy-makers and researchers, and the public and private sectors, and helps researchers communicate their findings beyond their specialty and into the wider world. Scientia offers the research community significant visibility and accessibility to those both inside and outside the community to take an interest in science and research. Dr. Fei is pioneering a technique that merges positron emission tomography (PET) with ultrasound imaging to detect prostate cancer more accurately than before. For more information, read the PDF file of the article or visit the following websites:

Past Bonds, Future Enrichment Come Together at Investiture Ceremony

Considered the highest academic honor a university can bestow, chair and professorship endowments provide senior-level faculty with funds to advance their scholarly activities and support research at the University of Texas at Dallas. Investitures are among the oldest traditions in academia, dating back more than 500 years. During the ceremony, honorees and ceremonial participants don full academic regalia. The endowed chairs and professorships are made possible by philanthropic donations, with several established by or honoring the University’s founders and early leaders.

Dr. Baowei Fei Honored at the University Investiture Ceremony

Dr. Baowei Fei is honored at the University Investiture Ceremony. President Richard C. Benson and Dr. Poras Balsara, interim dean of the Erik Jonsson School of Engineering and Computer Science, presented a medallion to Dr. Baowei Fei, Cecil H. and Ida M. Green Chair in Systems Biology Science. Twelve faculty members who were formally honored hold professorships and chairs in the Office of Graduate Education, School of Behavioral and Brain Sciences, Erik Jonsson School of Engineering and Computer Science, Naveen Jindal School of Management and the School of Natural Sciences and Mathematics. Dr. Baowei Fei, an imaging scientist and cancer scholar whose work has transformed medical imaging and intervention for cancer care and who teaches in the Department of Bioengineering in the Jonsson School, is among those recognized at the ceremony.

Bioengineer Recognized Among Top in His Field with AIMBE Honor

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. 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.

NBC News Featured Research Work on Molecular Imaging and Targeted Biopsy

NBC News featured the research work by Dr. Baowei Fei and his team. The technology that was developed in his research lab is 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 new technology has been evaluated by an early phase clinical trial and the clinical finds were published Journal of Urology (Fei et al, Feasibility and Initial Results: Fluciclovine Positron Emission Tomography/Ultrasound Fusion Targeted Biopsy of Recurrent Prostate Cancer. Journal of Urology. 2019;202(2):413-421). For more information, read the PDF file of the clinical paper or visit the following website for the NBC news.

Dr. Baowei Fei Named Fellow of International Society for Optics and Photonics (SPIE)

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 on February 18, 2019. The SPIE 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.

Robert F. Wagner All Conferences Best Student Paper Award

Himar Fabelo, a PhD student from Dr. Baowei Fei’s Lab, received the Robert F. Wagner All Conference Best Student Paper Award – Runner-Up at the International Conferences of SPIE Medical Imaging in San Diego, California on February 18, 2018. The title of his paper is “Surgical aid visualization system for glioblastoma tumor identification based on deep learning and invivo hyperspectral images of human patients.” The Robert F. Wagner All Conference Best Student Paper Award (established 2014) is an acknowledgement of his many important contributions to the Medical Imaging meeting and his many important advances in the field of medical imaging and is co-sponsored The Medical Imaging Perception Society and SPIE. A first-place winner and runner-up were recognized with a cash prize ($1,000 and $500 respectively) and a certificate during the Plenary Session at the conference.