DoReMe: Dual optimization of Reconstruction and Motion estimation for self-navigated free-breathing abdominal MRI using Gaussian Splatting
Fixing blurry MRI scans by tracking breath movement during imaging
Researchers developed a new method that reconstructs sharp abdominal MRI images while simultaneously figuring out how the patient's organs moved during breathing. Unlike older approaches that require guess-work about motion beforehand, this method learns the motion and the image together in about 90 seconds, producing clearer pictures—especially of the liver—even when the scan is shortened.
Breathing motion is the main reason abdominal MRI scans come out blurry and distorted, forcing radiologists to spend longer acquisition times and sometimes repeat scans. Faster, sharper images mean patients spend less time in the scanner, hospitals can scan more patients, and doctors get clearer pictures to spot disease. The method works without external motion sensors, making it easier to deploy in standard clinical settings.