Abstract: An apparatus for creating a synthetic medical image comprises a memory comprising instruction data representing a set f instructions and a processor configured to communicate with the memory and to execute the set of instructions. The set of instructions, when executed by the processor, cause the processor to obtain first and second medical images, determine an elastic deformation that can be used to register the first medical image onto the second medical image, and create the synthetic medical image by weighting the determined elastic deformation and applying the weighted elastic deformation to a portion of the first medical image.

Abstract: A difference image representing intensity differences between a first medical image and a second medical image is generated. A mixture model is fitted to an intensity distribution of the difference image to identify a plurality of probability distributions which collectively model the intensity distribution. A plurality of intensity ranges is determined as a function of the plurality of probability distributions. Image data of the difference image is labeled by determining into which of the plurality of intensity ranges said labeled image data falls. This technique more accurately details changes in medical images than known systems and methods.

Abstract: A system and method are provided for change detection in medical images. A difference image representing intensity differences between a first medical image and a second medical image is generated. A mixture model is fitted to an intensity distribution of the difference image to identify a plurality of probability distributions which collectively model the intensity distribution. A plurality of intensity ranges is determined as a function of the plurality of probability distributions. Image data of the difference image is labeled by determining into which of the plurality of intensity ranges said labeled image data falls. Accordingly, more accurate change detection is obtained than known systems and method.