Imaging Technology

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Faster image processing to fight lung cancer

With $1.9 million from the National Institutes of Health, Jeffrey Fessler leads a team at U-M to make low-radiation CT scans viable for lung cancer screening.|Short Read
hao sun

Hao Sun earns 3 Paper Awards for medical imaging research

Hao's research is focused on improving the quality of images from magnetic resonance imaging pulse design.|Short Read
mai le

Student Spotlight: Mai Le – Finding a better way to diagnose breast cancer with MRI

The research group is using statistical signal processing to create crisper images with only 20% of the data required by a traditional MRI scan. |Short Read
Gopal Nataraj

Gopal Nataraj earns Best Paper Award for improving MRI

Nataraj is using big data techniques to transform the field of medical imaging|Short Read
Gopal Nataraj

Gopal Nataraj receives ISA Fellowship to support research that will improve MRIs

Nataraj's research aims to generate higher-quality and faster MRI images, resulting in improved diagnostics of neurological disorders and autoimmune diseases. |Short Read
Fessler and colleagues

Jeff Fessler receives 2013 IEEE Edward J. Hoffman Medical Imaging Scientist Award

This award recognizes outstanding contributions to the field of medical imaging science.|Medium Read
Student working

New algorithms and theory for shining light through non-transparent media

Their technique utilizes backscatter analysis to construct "perfectly transmitting" wavefronts.|Short Read
paul shearer

Research that will lead to sharper photos earns best paper award

The method they developed compares favorably with the best of current techniques, while being faster and easier.|Short Read
phd student cheng zhang

Cheng Zhang awarded SPIE Optics and Photonics Education Scholarship

Zhang is working on building structural color filters and is also designing ultrahigh Q optical microring resonators.|Short Read
Lurie Nanofab lab workers at a computer

Image processing 1,000 times faster is goal of new $5M contract

Lu plans to design and fabricate a computer chip based on so-called self-organizing, adaptive neural networks.|Medium Read
Student winners

Student teams earn prizes for improved image processing techniques in EECS 556

The course covers the theory and application of digital image processing.|Short Read
Peacock

Next-Gen E-Readers: Improved peacock technology could lock in color for high-res displays

The research could lead to advanced color e-readers, more energy efficient electronic devices, and improved data storage and cryptography.|Medium Read