Organ Shape

Organ shape analysis focuses on accurately representing and understanding the three-dimensional structure of organs, primarily for applications in medical image analysis. Current research emphasizes developing robust and efficient algorithms, including graph neural networks and deep learning models like autoencoders and Segment Anything Models (SAM), to reconstruct organ shapes from various imaging modalities (CT, MRI, X-ray) and even limited data. These advancements are crucial for improving medical image segmentation, surgical planning, radiation therapy, and ultimately, patient care by enabling more precise and personalized treatments.