Sparse methods on manifolds of images and shapes for significant anatomy detection linked to disease

医学成像在现代医学中发挥着关键作用，是许多诊断和治疗的一部分。虽然成像硬件和采集方法在过去十年中有了巨大的发展，但图像处理软件的进步无法与之相提并论。因此，在临床实践中，许多图像处理工作要么根本不执行，要么由于软件不足而手动完成。为了实现这些新的医学成像方法的全部好处，需要开发新的和更好的图像分析方法。

Medical imaging plays a key role in modern medicine, being part of many diagnoses and treatments. While imaging hardware and acquisition methods have seen a tremendous development in the last decade, this is not matched by advances in image processing software. Therefore, in clinical practice, much image processing work is either not performed at all, or performed manually due to inadequate software. To realize the full benefit of these new medical imaging methods, new and better image analysis methods need to be developed.