Medical Imaging

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New generative AI model can reconstruct a high-quality, sparse-view 3D CT scan with a much lower X-ray dose

Improvements move the deep learning technique towards use in 3D medical imaging.

Fifteen papers by ECE researchers to be presented at the Conference on Neural Information Processing Systems

Topics of accepted ECE NeurIPS papers include diffusion models, large language models, multi-armed bandit models, and more.

Research describing quantum-inspired computational imaging earns impact award

This Q&A with award co-recipient Alfred Hero offers a glimpse into the emerging field of single photon imaging.

University of Michigan: December 3, 2021

2021 Precision Health Investigators Awards

Prof. Zhongming Liu (co-PI) and Jeffrey Fessler are members of a team newly funded by U-M Precision Health to investigate "Deep Learning for Prediction of Mild Cognitive Impairment and Dementia of the Alzheimer’s Type.” Prof. Honglak Lee is part of a team funded to investigate “Rapid Intraoperative Molecular Diagnosis of Diffuse Gliomas Using Stimulated Raman Histology and Deep Neural Networks.”

Three teams of graduate students awarded prizes for their final projects in Image Processing (EECS 556)

KLA sponsored prizes for three outstanding projects focused on improving image processing for neurosurgery and satellite applications and MRI reconstruction techniques.

DBusiness Magazine: April 24, 2021

U-M Researchers Develop 3-D Motion Tracking for Autonomous Tech

Researchers have developed a 3-D motion tracking system that could one day replace LiDAR and cameras in autonomous technologies.

3D motion tracking system could streamline vision for autonomous tech

Transparent optical sensor arrays combine with a specialized neural network in new University of Michigan prototype

Research to improve medical imaging of the brain receives Magna cum Laude Merit award

The interdisciplinary team was able to dramatically speed up the process while potentially doubling the quality of the image

Magna cum Laude Merit Award for research to detect the progress of diseases such as multiple sclerosis

The researchers’ imaging technique is fast, accurate, and reproducible

Melissa Haskell receives NIH Fellowship for research to improve brain imaging

ECE postdoc Melissa Haskell works on improving functional magnetic resonance imaging so we can better measure and understand brain activity.

ISMRM: August 28, 2020

Reproducible Research Insights with Steven Whitaker, Jon-Fredrik Nielsen, and Jeff Fessler

The International Society for Magnetic Resonance in Medicine Highlights Reproducible Research Insights on Prof. Fessler, ECE PhD student Whitaker, and BME Research Scientist Nielsen.

A 3D camera for safer autonomy and advanced biomedical imaging

Researchers demonstrated the use of stacked, transparent graphene photodetectors combined with image processing algorithms to produce 3D images and range detection.

Kirigami can spin terahertz rays in real time to peer into biological tissue

The rays used by airport scanners might have a future in medical imaging.

Afshari group receives Best Invited Paper award at the 2019 IEEE Custom Integrated Circuits Conference

Terahertz and sub-terahertz imaging can provide superior results in some biomedical imaging, spectroscopy, and water saturation detection.

Time-varying metamaterials for next generation communication, sensing, and defense systems

With $7.5M MURI grant, Professor Anthony Grbic is developing metamaterials for a new generation of integrated electromagnetic and photonic systems.

Students win prizes for improving image processing techniques for liver cancer detection and much more

Students in EECS 556: Image Processing, explore methods to improve image processing in applications such as biomedical imaging and video and image compression

Seeing through materials

By developing a fast algorithm to map out the paths light takes through yogurt, researchers aim to someday see through skin.

Gopal Nataraj receives U-M Rackham Predoctoral Fellowship to support high-impact research in medical imaging

Award for outstanding doctoral candidates near the end of their study.

Ushering in the next generation of flat-panel displays and medical imagers

Prof. Kanicki expects breakthroughs in both the flat-panel display and imager industries using his-ITZO TFT technology in the near future.

Students earn prizes for improving image processing techniques in EECS 556 (Winter 2016)

The course covers the theory and application of digital image processing, with applications in biomedical images, time-varying imagery, robotics, and optics.

Amr Ibrahim earns Rackham Pre-Doctoral Fellowship for research in high millimeter wave radar systems

Amr is investigating both the unique advantages and the performance limitations of radar systems operating at 240 GHz in typical outdoor environments.

A better 3D camera with clear, graphene light detectors

While 3D films are currently made using multiple cameras to reconstruct each frame, this new type of camera could record in 3D on its own.

Jeff Fessler receives Distinguished Faculty Achievement Award

Prof. Fessler has revolutionized medical imaging with groundbreaking mathematical models and algorithms that improve both safety and quality.

Using data science to achieve ultra-low dose CT image reconstruction

Ultra-low dose CT scans that provide superior image quality could not only benefit patients, but they could open up entirely new clinical applications.

Next generation laser plasma accelerator

One of the most promising avenues for achieving new target levels of high peak intensity and high average power in an ultrafast laser system is to turn to fiber lasers.

Fighting lung cancer: Faster image processing for low-radiation CT scans

This advance could be important for fighting lung cancers, as symptoms often appear too late for effective treatment.

T-ray converts light to sound for weapons detection, medical imaging

U-M researchers demonstrated a unique terahertz detector and imaging system that could bridge the terahertz gap.

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.

Mai Le receives CoE Distinguished Leadership Award

Mai has served as Community Service Co-chair of the Graduate Society of Women Engineers since arriving at Michigan in 2011.

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.

Gopal Nataraj earns Best Paper Award for improving MRI

Nataraj is using big data techniques to transform the field of medical imaging

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.

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

Their technique utilizes backscatter analysis to construct “perfectly transmitting” wavefronts.

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.

New technology allows CT scans to be done with a fraction of the conventional radiation dose

“We’re excited to be adding Veo to the measures we already have in place to ensure that we get diagnostic images using the lowest amount of radiation possible.”

A smarter way to make ultraviolet light beams

The researchers have optimized an optical resonator to take an infrared signal from relatively cheap telecommunication-compatible lasers and boost it to an ultraviolet beam.

Safer medical imaging with microwaves

The goal of the research is to develop an alternative method to x-ray imaging that is safer and uses nothing stronger than radio frequency waves.

Yong Long receives Best Poster Award for work in medical imaging

Long’s work describes a new algorithm for performing model-based methods in a way that requires less computation yet provides improved image quality.

Eric Tkacyk receives Best Paper Award for research in biomedical optics

Tkaczyk hopes that his technique will be used to further the understanding, diagnosis, and treatment of cancer. Congratulations!