Biomedical imaging

Biomedical imaging research at Carnegie Mellon applies advanced engineering and artificial intelligence to develop new imaging devices, methods, and applications. This interdisciplinary research brings together engineering, biology, and medicine to advance imaging technologies and their healthcare applications.

Focus areas

  • Optical imaging
  • Magnetic resonance imaging
  • Neural sensing
  • Computational modeling
  • Simulation

Faculty

Maysam Chamanzar

Maysam Chamanzar

Howard M. Wilkoff Professorship of Electrical and Computer Engineering Professor
Electrical and Computer Engineering

Email
mchamanz@andrew.cmu.edu

Maysam Chamanzar's bio

John Galeotti

John Galeotti

Senior Systems Scientist
Robotics Institute

Email
jgaleotti@cmu.edu

John Galeotti's bio

Aryn Gittis

Aryn Gittis

Dr. Frederick A. Schwertz Distinguished Professor of Life Sciences
Biological Sciences

Email
agittis@cmu.edu

Aryn Gittis's bio

Pulkit Grover

Pulkit Grover

Angel Jordan Career Development Professor
Electrical and Computer Engineering

Email
pgrover@andrew.cmu.edu

Pulkit Grover's bio

Bin He

Bin He

Trustee Professor
Biomedical Engineering

Professor
Center for the Neural Basis of Cognition

Email
bhe1@andrew.cmu.edu

Bin He's bio

Jana Kainerstorfer

Jana Kainerstorfer

Professor
Biomedical Engineering

Email
jkainers@andrew.cmu.edu

Jana Kainerstorfer's bio

Sossena Wood

Sossena Wood

Assistant Professor
Biomedical Engineering

Email
scwood@andrew.cmu.edu

Sossena Wood's bio

News

Illustration of a pregnant belly wearing a sensor belt connected to a small monitoring device on the arm, suggesting prenatal monitoring technology.

Carnegie Mellon awarded ARPA-H contract to transform care in childbirth Opens in new window

New wearable monitoring system will improve clinical assessment of fetal health.

Animation showing a rotating image of a brain

New stimulation method builds on focused ultrasound research Opens in new window

A new study shows ultrasound can subtly prepare the brain to respond, rather than directly triggering activity. Combined with light electrical stimulation, it produces stronger, targeted effects for future therapies.

Two people in a lab looking at a brain scan

New study shows how sickle cell affects brain function Opens in new window

Brain scans show sickle cell disease may change how brain networks work together, with attention systems stepping in to help maintain thinking and decision-making.

The belly of a pregnant women with arms around it

Tracking fetal health through mother’s abdomen Opens in new window

Researchers propose a method to estimate fetal oxygen through the abdomen. By modeling how light moves through maternal and fetal tissue, it could improve labor monitoring beyond heart rate.

A young man sitting in a lab chair with sensors on his head is smiling, interacting with two women in a research laboratory setting.

Better screening tool for sickle cell disease progression Opens in new window

Researchers explore using NIRS to screen adults with sickle cell disease, revealing insights into oxygenation and aging-related mechanisms.

Jingyi Wu

Three-time alum traverses departments to tackle maternal and fetal health Opens in new window

Jingyi Wu came to CMU to study physics, but the supportive community he found inspired him to continue his academic journey at the university for nearly a decade.

New sensor array that quantifies biomarkers

Real-time sensors to inform better wound care Opens in new window

Wound assessment can be challenging due to its subjective nature, but a new sensor array quantifies biomarkers and has potential to offer real time measurements that could improve the healing process.

Implantable bioelectronic

CMU-led project to fight obesity, Type 2 diabetes receives ARPA-H backing Opens in new window

A CMU-led team of researchers has secured an award of up to $34.9 million from ARPA-H to develop a new bioelectric medicine-based treatment for obesity and Type 2 diabetes patients.