Medical Imaging

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.

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

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

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.

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

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

Hao’s research is focused on improving the quality of images from magnetic resonance imaging pulse design.

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

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

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

Nataraj’s research aims to generate higher-quality and faster MRI images, resulting in improved diagnostics of neurological disorders and autoimmune diseases.

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

The method they developed compares favorably with the best of current techniques, while being faster and easier.

“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.”

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.

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.

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

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