Feature-based methods for 3D medical image analysis

MRI、超声和CT等医学成像方式使我们能够在体内可视化3D人体，对解剖结构进行定量描述或诊断病理或疾病。医学图像数据集的规模正在迅速增长，并为大规模分析提供了前所未有的机会，以量化解剖变异性并了解疾病过程，例如脑MRI中的阿尔茨海默病或肺部CT图像中的慢性阻塞性肺病（COPD）。鉴于医疗保健的压力

Medical imaging modalities such as MRI, ultrasound and CT allow us to visualize the 3D human body in-vivo, to make quantitative statements regarding anatomy or to diagnose pathologies or disorders. Collections of medical image data are growing rapidly in size and offer unprecedented opportunities for large-scale analyses to quantify anatomical variability and understand disease processes, for example Alzheimer’s disease in brain MRI or chronic obstructive pulmonary disease (COPD) in lung CT images. Given pressures on health care