Fellowbook News

Skin Tone Bias Reduces Accuracy in Photoacoustic Imaging for Breast Cancer Detection

A study from Johns Hopkins University, published in Biophotonics Discovery, examined how skin tone affects the accuracy of photoacoustic imaging (PAI), a technology gaining traction in breast cancer diagnostics, especially in situations where traditional mammography is insufficient. The study shows how image reconstruction methods and laser wavelengths influence the visibility of cancerous targets in patients with diverse skin tones and suggests practical solutions to improve equity in diagnostics.

Photoacoustic imaging is a hybrid imaging technique that combines light and sound. Light pulses are transmitted into the body and absorbed by structures like blood vessels, which then undergo thermal expansion and generate sound waves. Ultrasound detectors capture these waves to create detailed images… Continue reading.

Muyinatu Bell named National Academy of Inventors Senior Member
Muyinatu “Bisi” Bell, a John C. Malone Associate Professor of Electrical and Computer Engineering in the Whiting School of Engineering, has been named a Senior Member of the National Academy of Inventors in recognition of her contributions as an academic...
Medical imaging struggles to read dark skin. Researchers say they’ve found a way to make it easier
Traditional medical imaging – used to diagnose, monitor or treat certain medical conditions – has long struggled to get clear pictures of patients with dark skin, according to experts. Researchers say they have found a way to improve medical imaging,...
Deep learning model detects COVID-19 infection using lung imaging
A deep neural network-based automated detection tool could assist emergency room clinicians in diagnosing COVID-19 effectively using lung ultrasound images. Johns Hopkins researchers have developed a deep learning-based model to detect COVID-19 infection...