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With the recent introduction of CT scanners with large cone angles, widecoverage detectors now provide a desirable scanning platform for cardiac CTthat allows whole heart imaging in a single rotation. On these scanners, whilehalf-scan data is strictly sufficient to produce images with the best temporalresolution, acquiring a full 360 degree rotation worth of data is beneficialfor wide-cone image reconstruction at negligible additional radiation dose.Applying Model-Based Iterative Reconstruction (MBIR) algorithm to the heart hasshown to yield significant enhancement in image quality for cardiac CT. Butimaging the heart in large cone angle geometry leads to apparently conflictingdata usage considerations. On the one hand, in addition to using the fastestavailable scanner rotation speed, a minimal complete data set of 180 degreesplus the fan angle is typically used to minimize both cardiac and respiratorymotion. On the other hand, a full 360 degree acquisition helps better handlethe challenges of missing frequencies and incomplete projections associatedwith wide-cone half-scan data acquisition. In this paper, we develop aSpatially Adaptive sinogram Weights MBIR algorithm (SAW-MBIR) that is designedto achieve the benefits of both half and full-scan reconstructions in order tomaximize temporal resolution over the heart region while providing stableresults over the whole volume covered with the wide-area detector.Spatially-adaptive sinogram weights applied to each projection measurement inSAW-MBIR are designed to selectively perform backprojection from the full andhalf-scan portion of the sinogram based on both projection angle andreconstructed voxel location. We demonstrate with experimental results ofSAW-MBIR applied to whole-heart cardiac CT clinical data that overall temporalresolution matches half-scan while full volume image quality is on par withfull-scan MBIR.

Model Based Iterative Reconstruction With Spatially Adaptive Sinogram Weights for Wide-Cone Cardiac CT