| 摘要 |
The invention provides a method of image transformation of a biomedical image, said method comprising: for each voxel of said biomedical image, calculating a transform value indicative of the likelihood of that voxel representing a first tissue type (such as scar tissue); wherein calculating said transform value includes: applying at least one feature function to calculate at least one feature value from the original image voxel value for said voxel and/or from the original image voxel values of one or more voxels proximate to said voxel, said feature function or functions being capable of discriminating between said first tissue and a second tissue type (e.g. healthy tissue); and deriving said transform value from said one or more feature values. The method allows more detail to be extracted from images about the locations of scar and healthy tissue and thus facilitates diagnosis. The transformed image can also be segmented to identify particular areas of interest such as the border zone between scar and healthy tissue where the two tissue types are interwoven. The segmentation technique better identifies clinically relevant information within the image. This information can then be processed to provide an indicator of clinical significance. |
