We propose a joint segmentation and groupwise registration method for cardiac perfusion images by using temporal information.\r\nThe nature of perfusion images makes groupwise registration especially attractive as the temporal information from the entire\r\nimage sequence can be used. Registration aims to maximize the smoothness of the intensity signal, while segmentation minimizes\r\na pixel�s dissimilarity with other pixels having the same segmentation label. The cost function is optimized in an iterative fashion\r\nusing B-splines. Tests on real patient datasets show that compared to two other methods, our method shows lower registration error\r\nand higher segmentation accuracy. This is attributed to the use of temporal information for groupwise registration and mutually\r\ncomplementary registration and segmentation information in one framework, while other methods solve the two problems\r\nseparately.
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