The UCL Centre for Medical Image Computing

在过去的30年里，MRI、CT和超声波等数字医学成像技术改变了医疗保健。计算方法现在可以用来测量组织和器官的形状、结构和功能的非常细微的变化。这正在改变我们对目前不治之症的理解，如痴呆症、关节炎和癌症。这些相同的技术使我们能够开发新的方法来改进我们评估新疗法效果如何的方法。医学成像在1毫米或更大的空间尺度上提供信息，但疾病通过分子过程、细胞功能和细胞分布的变化来表现。光学方法正在变得可以用来研究体内的这些过程，因此我们需要方法来将微米级的信息与我们在毫米级的医学成像中所能看到的信息联系起来。有了这些信息，我们将能够开发新的方法来使用图像来指导癌症、脑部疾病、骨骼和关节疾病以及心血管疾病的治疗和干预。这一平台赠款将为IS提供资源，以确保我们由物理学家、计算机科学家和数学家组成的优秀团队的安全。它还将使我们能够在新的研究途径出现时灵活地处理它们，而不会在获得资金方面拖延时间，否则就会导致这种情况。该资源将使我们能够在医学成像与细胞和分子生物学之间的界面上探索更多的投机性研究途径；以及在生物学、纳米技术和量子物理的界面上探索计算成像的机会。

Digital medical imaging technologies such as MRI, CT and ultrasound have transformed healthcare in the last 3 decades. Computational methods are now becoming available to measure very subtle changes in shape, structure and function of tissue and organs. This is changing the ways that we understand currently incurable diseases such as dementias, arthritis and cancer. These same technologies are allowing us to develop new ways of improving the ways we assess how well new treatments are working. Medical imaging provides information at the spatial scale of 1 mm or greater yet disease manifests itself by changes in molecular processes, cellular function and cellular distributions. Optical methods are becoming available to study these processes in-vivo and so we need methods to relate information at the micron scale to what we can see in medical imaging at the millimetre scale. With this information we will be able to develop new methods to use images to guide therapy and interventions in the treatment of cancer, brain diseases, disorders of bones and joints and cardiovascular diseases.This platform grant will provide is with resources to secure our excellent team of physicists, computer scientists and mathematicians. It will also give us the flexibility to tackle new avenues of research as they arise without the time delay in obtaining funding that would otherwise result. The resource will allow us to explore more speculative avenues of research at the interfaces between medical imaging and cellular and molecular biology; and opportunities for computational imaging at the interface of biology, nanotechnology and quantum physics.