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99). Different prostate segments demonstrated similarly good interscan reproducibility (p = not significant) with slightly larger difference at base: 2.0% �� 1.6% for left base and 2.1% �� 1.1% for right base. In patients with subsequent targeted http://www.selleckchem.com/products/nutlin-3a.html biopsy, T2 values of histologically proven malignant tumor areas were significantly lower than the suspicious looking but nonmalignant lesions (p http://www.selleckchem.com/products/AC-220.html method uses a 1D feet-head translational motion correction approach, and data acquisition is limited to a small window in the respiratory cycle, which prolongs the scan by a factor of 2�C3. The purpose of this work was to implement 3D affine motion correction for Cartesian whole-heart CMRA using a 3D navigator (3D-NAV) to allow for data acquisition throughout the whole respiratory cycle. 3D affine transformations for different respiratory states (bins) were estimated by using 3D-NAV image acquisitions which were acquired during the startup profiles of a steady-state free precession http://www.selleck.cn/products/Romidepsin-FK228.html sequence. The calculated 3D affine transformations were applied to the corresponding high-resolution Cartesian image acquisition which had been similarly binned, to correct for respiratory motion between bins. Quantitative and qualitative comparisons showed no statistical difference between images acquired with the proposed method and the reference method using a diaphragmatic navigator with a narrow gating window. We demonstrate that 3D-NAV and 3D affine correction can be used to acquire Cartesian whole-heart 3D coronary artery images with 100% scan efficiency with similar image quality as with the state-of-the-art gated and corrected method with approximately 50% scan efficiency. Magn Reson Med 71:173�C181, 2014. ? 2013 Wiley Periodicals, Inc. Several studies have demonstrated that three dimensional (3D) affine transformations can be used to accurately model the deformation of the heart throughout the respiratory cycle [1-3]. Applying such a model to coronary MR angiography (CMRA) acquisitions could allow for image acquisitions throughout the whole respiratory cycle, and subsequently allow shortening the scan time compared with end-expiration gated acquisitions which are still the most commonly used approach. The currently used methods typically employ a linear rigid body translational motion model to correct for foot-head (FH) motion, only accepting image data which has been acquired during end-expiration [4].