Multi Parametric MRI

Multiparametric MRI (mpMRI) combines multiple MRI sequences to provide a more comprehensive assessment of tissue properties than single-sequence imaging, aiding in diagnosis and treatment planning for various diseases. Current research focuses on improving mpMRI analysis through deep learning, employing architectures like U-Net and Vision Transformers, often coupled with radiomics analysis to extract quantitative features from the images. These advancements aim to automate tasks such as tumor segmentation and classification, ultimately improving diagnostic accuracy, reducing reliance on contrast agents, and personalizing cancer treatment strategies.