GE Healthcare, CEAS partner to reimagine research, education & health

With GE Healthcare’s $3 million commitment to research and education, UW-Milwaukee’s College of Engineering & Applied Science is driving the next generation of healthcare technology globally. GEHC is the founding partner of the Center for Advanced Computational Imaging, a “first of its kind” talent pipeline for Wisconsin-based medical imaging software developers. The Center marries research and education and promises to help improve quality of care and reduce cost of medical imaging.

Bill Berezowitz, GM & VP, Imaging Subsystems, GE Healthcare and Mike Lovell, Chancellor, UW-Milwaukee
Bill Berezowitz, GM & VP, Imaging Subsystems, GE Healthcare and Mike Lovell, Chancellor, UW-Milwaukee

Graduate Certificate in Advanced Computational Imaging

UWM introduced a Graduate Certificate in Advanced Computational Imaging which is offered alongside professional development curricula for GE Healthcare employees. The new certificate program serves the continuing education needs for GE Healthcare technologists while preparing engineers with other backgrounds to enter or advance their career in the area of advanced computational imaging. The technology-specific, advanced-level coursework in tomography and computer engineering topics gives engineers a leg up in a competitive and rewarding field.

Sharper Image, More Accurate Diagnosis

Computational imaging enables engineers to build systems that deliver image data of organs without a minimum number of medical scans. Computational imaging is used in a variety of industries, but expertise in medical applications remains largely based in Silicon Valley making our work in Milwaukee important to local industry.

GE Hart Image
Examples of the types of crisper imaging computational imaging enables … Heart

GE Healthcare seeks to develop regional expertise in computational imaging. With that expertise, GE can produce imaging products that produce ever clearer images giving physicians data needed for accurate diagnosis. Advanced imaging technology also allows high quality images to be acquired faster with a reduced radiation, which means less exposure and less time in a scanner for patients.

For many patients, like those hard to diagnose, this advanced technology can be life saving. Factors including obesity, high levels of coronary calcium, high heart rates of over 65 beats per minute, the presence of stents (tubes placed in the coronary arteries to keep them open in the treatment of CAD) or arrhythmias (problems with the rate or rhythm of a heartbeat) cause difficulties in imaging. GE’s new generation scanners overcome these difficulties and oftentimes prevent the need for more invasive coronary diagnostic procedures like angiography.

GE Skelleton
...Heart and skeletal structure


GE Healthcare funded research and collaborative projects related to image and signal processing for this type of medical technology. The following Engineering & Applied Science researchers have received a Catalyst grant from GE.

IlyaAvdeev Ilya Avdeev developed an expertise in finite element analysis while working at ANSYS, Inc. In this project he will work to develop efficient algorithms to model thermal deformations. These algorithms could potentially allow machines such as magnetic resonance imaging (MRI) scanners to adapt to these deformations in real-time as heating causes sensitive parameters to change.
Adel Nasiri Adel Nasiri has expertise in power electronics, storage and control. He will explore load-leveling techniques, applied in other settings, for use in imaging systems. The concept could lower the burden on electrical systems that supply power for imaging systems, making them less expensive to install and maintain.
Jun Zhang Jun Zhang hopes to reduce the cost and complexity of imaging systems by applying his expertise in Bayesian-based signal processing techniques. Imaging systems no longer use film; instead, they employ closely packed detector arrays that are expensive and difficult to manufacture. Zhang will explore whether advanced signal processing techniques can allow manufacturers to use fewer detectors while achieving the same image quality.