Advances in computers and image processing with applications in nuclear medicine

摘要

The continuing advances in hardware performance had made many previously computationally unattractive methods feasible, an example being iterative recon- struction in tomography, which is now routine. Dynamic SPECF can also be performed. However the aim of image processing is not just to produce pretty pictures, but to extract good clinical information. The methods also need to incorporate clinical knowledge and be defined using clinical constraints. In general data in nuclear medicine are n-D, often 3-D plus time. Data reduction for example by the extraction of physiological informa- tion, is important. Such data are in any case hard to visualise without compression, for example some kind of dimensionality reduction, going from n-D to a 2-D "functional" image.