Bioimaging technologies are the eyes that allow doctors to see inside the body in order to diagnose, treat, and monitor disease. Ge Wang, an endowed professor of biomedical engineering at Rensselaer Polytechnic Institute, has received significant recognition for devoting his research to coupling those imaging technologies with artificial intelligence in order to improve physicians’ “vision.”
In research published today in Patterns, a team of engineers led by Wang demonstrated how a deep learning algorithm can be applied to a conventional computerized tomography (CT) scan in order to produce images that would typically require a higher level of imaging technology known as dual-energy CT… Continue reading.
Ge Wang, the Clark and Crossan Endowed Chair of biomedical engineering and director of the Biomedical Imaging Center at Rensselaer Polytechnic Institute, has been named a fellow of the National Academy of Inventors (NAI).
Election to NAI fellow is the highest professional distinction given to academic inventors. It is bestowed on those who have created or facilitated inventions that have improved quality of life, economic development, and the welfare of society.
“Professor Wang has made exceptional contributions in the area of biomedical imaging,” said Deepak Vashishth, director of the Center for Biotechnology and Interdisciplinary Studies, of which the Biomedical Imaging Center is an important part. “The methods he has developed are necessary tools in vastly improving human health and eventually moving toward personalized medicine… Continue reading.
Troy, N.Y. — Originally discovered by accident, X-ray CT scans are now performed about 100 million times a year in hospitals and clinics around the world to identify problems in patients. How do these magic eyes work? Rensselaer Polytechnic Institute biomedical imaging expert Ge Wang detailed the history and mechanics of the X-ray and computed tomography (CT) scanners in a recent TED-Ed video titled “How X-rays see through your skin.”
The opportunity to embark on the project came as a result of Wang’s affiliation with the American Association for the Advancement of Science (AAAS). Last year, Wang was among the 401 newly selected AAAS fellows recognized for their “scientifically or socially distinguished efforts to advance science or its applications.” AAAS honored new fellows at its annual meeting in February 2015.
“I attended the AAAS annual meeting to get my fellow certificate,” said Wang, who serves as the John A. Clark and Edward T. Crossan Professor of Engineering in the Department of Biomedical Engineering and director of the Biomedical Imaging Cluster at Rensselaer. “The meeting turned out to be rather wonderful, especially after I attended a session organized by TED-Ed, and participated in several very inspiring discussions during the session. TED-Ed invited ideas from the audience and expressed an interest in my suggestion of explaining biomedical imaging ideas especially on X-rays and CT. I wrote a proposal and received approval by TED- Ed to develop the video.”
TED-Ed is a free educational website. The growing TED-Ed video library offers carefully curated educational videos, many of which represent collaborations between talented educators and animators nominated through the TED-Ed platform. The platform also allows users to take any educational video, not just TED’s, and create a customized lesson around the video. Users can distribute the lessons, publicly or privately, and track their impact on the world, a class, or an individual student. TED-Ed videos are geared toward high school/college students, and the general public.
Ge Wang is the John A. Clark and Edward T. Crossan Chair Professor of Engineering, the director of the Biomedical Imaging Center, and a member of the Department of Biomedical Engineering at Rensselaer. In naming him a fellow, AAAS cited his “distinguished contributions to the field of biomedical imaging, particularly for X-ray computed tomography, optical molecular tomography, interior tomography, and multi-modality fusion.”
Wang’s innovations over the past 25 years have advanced the field of biomedical imaging, particularly computed tomography (CT), bioluminescence tomography, interior tomography, and omni-tomography for grand fusion of all relevant tomographic modalities (“all-in-one”) to acquire different datasets simultaneously (“all-at-once”) and capture multi-physics interactions (“all-of-couplings”). He wrote the pioneering papers on the first spiral cone-beam CT algorithm that enables spiral cone-beam CT imaging, which is used in almost all hospitals worldwide. More than 70 million CT scans are performed annually in the United States, with a majority in the spiral cone-beam/multi-slice mode.