医学图像处理观点：从科学到应用

Deserno Né Lehmann Thomas M, Handels Heinz, Maier-Hein Né Fritzsche Klaus H, Mersmann Sven, Palm Christoph, Tolxdorff Thomas, Wagenknecht Gudrun, Wittenberg Thomas

Department of Medical Informatics, Uniklinik RWTH Aachen, Germany;

Curr Med Imaging Rev. 2013 May;9(2):79-88. doi: 10.2174/1573405611309020002.

Medical image processing provides core innovation for medical imaging. This paper is focused on recent developments from science to applications analyzing the past fifteen years of history of the proceedings of the German annual meeting on medical image processing (BVM). Furthermore, some members of the program committee present their personal points of views: (i) multi-modality for imaging and diagnosis, (ii) analysis of diffusion-weighted imaging, (iii) model-based image analysis, (iv) registration of section images, (v) from images to information in digital endoscopy, and (vi) virtual reality and robotics. Medical imaging and medical image computing is seen as field of rapid development with clear trends to integrated applications in diagnostics, treatment planning and treatment.

医学图像处理为医学成像提供了核心创新。本文聚焦于从科学到应用的最新进展，分析了德国医学图像处理年会（BVM）会议记录过去十五年的历史。此外，程序委员会的一些成员发表了他们的个人观点：（i）成像与诊断的多模态，（ii）扩散加权成像分析，（iii）基于模型的图像分析，（iv）断层图像配准，（v）数字内窥镜检查中从图像到信息，以及（vi）虚拟现实和机器人技术。医学成像和医学图像计算被视为一个快速发展的领域，在诊断、治疗规划和治疗的综合应用方面有着明确的趋势。