Abstract
Objective To develop a synthetic medical image generation system which can provide test images for the validation of medical image segmentation algorithms.Methods The synthetic image was created based on the deformation of region of interest (ROI) in original clinical images.First the synthetic foreground boundarywas generated by the resampling of the Fourier descriptors of manually segmented foreground boundary in original image.Then all the ROI pixels were divided into 4 categories and their intensities were calculated by texture matching techniques.Results The intracranial hemorrhage image was selected as the original image,and the generated synthetic images were applied to validate the precision and accuracy of multi-threshold segmentation and level set algorithm.Conclusion The proposed system can rapidly generate synthetic images with realistic appearance of clinical cases and well define ground truth foreground boundary.It has strong practicality for quantitative validation of segmentation algorithms. Key words: Medical image segmentation; Validation of image processing; Fourier descriptor; Texture matching
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