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%675$&7The purpose of this study was the development of a method for fast and efficient analysis of dynamic MR images of the female breast. The image data sets were acquired with a saturation-recovery turbo-FLASH sequence facilitating the detection of the kinetics of the contrast agent concentration in the whole breast with a high temporal and spatial resolution. In addition, a morphological 3D-FLASH data set was acquired. The dynamic image data sets were analyzed by tracer kinetic modeling in order to describe the physiological processes underlying the contrast enhancement in mathematical terms and thus to enable the estimation of functional tissue specific parameters, reflecting the status of microcirculation. In order to display morphological and functional tissue information simultaneously, we developed a multidimensional visualization system, which enables a practical and intuitive human-computer interface in virtual reality. The quality of real-time volume visualization (using 3D-texture mapping) mainly depends on two factors: number and spatial resolution of the sampling slices. Furthermore, to allow the representation of both the MR signal and the relevant set of model parameters, an adaptation of these quantities to the size of the texture element might be necessary.-Detection and localization of multiple breast lesions may be an important application.

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