A validated deep learning framework segments the diaphragm on routine 2D-cine and 3D thoracic MRI in seconds, achieving ...

Magnetic resonance imaging (MRI) can reliably establish measurements for anterior cruciate ligament (ACL) "footprints" that are critical to the placement of grafts for reconstruction surgery, UT ...

A novel artificial intelligence approach can generate 3D brain MRI images using semantic segmentation masks, offering a breakthrough in medical image synthesis and privacy protection. This new ...

Because of this, developers training large language models (LLMs) for MRI analysis have had to slice captured images into 2D. But this results in just an approximation of the original image, thus ...

A benchmark study of the iSeg-2017 dataset found that a patch-wise 3D U-Net achieved tissue-specific Dice scores of 0.92 to 0 ...

We have developed a method to acquire diagnostic MR images in 2-3 minutes to help millions of people who have complications related to metal devices, commonly hip replacements, knee replacements or ...

Breast cancer is most often detected on MRI using contrast-enhanced imaging. Following injection of gadolinium, the signal brightness increases at different rates as the agent reaches different ...

The test subject that produced the first 3D magnetic resonance image was quiet and a bit hairy. Tough on the outside, the patient was a big softie at heart. It was also not human. Nobel Prize-winning ...