Angiography and Plaque Imaging Advanced Segmentation by Muhammad Asim Khan

By Muhammad Asim Khan

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This is out of the scope of this chapter. The remainder of this chapter is organized as follows. 4, we present the skeletonbased segmentation techniques. 5 presents the discussions on nonskeleton and skeleton-based segmentation techniques. 2 A Brief Note on MRA Data Acquisition and Prefiltering A brief understanding of MRA data acquisition is necessary to appreciate the vascular segmentation. Before we discuss the data acquisition, we first discuss the five kinds of surface receive coils used for collecting the MRA data sets.

This is particularly a nontrivial issue in three-dimensional acquisitions when it comes to imaging time, inflow enhancement, and complicated flow conditions. Recently, Liu et al. 11. The SLINKY technique, which uses an interleaved kY data acquisition strategy, equalizes flow-related signal intensity weighting across the entire slab dimension. This technique demodulates signal intensity changes along the slab direction and can essentially eliminate the slab boundary artifacts while retaining the same or better imaging time efficiency as that of conventional multi-slab three-dimensional TOF, providing robustness to complicated flow patterns and thereby resulting in a more accurate depiction of vascular morphology.

MCA is a specific case of PCA in which one image is acquired with a refocused phase shift while another image is acquired with a spoiled phase shift, presenting flow-related signal as a void. In the subtracted images, only blood “flow” is presented. 3 Black-Blood Angiography (BBA) In contrast to TOF MRA, which attempts to maximize flow-related signal, black-blood-based MRA aims at minimizing flow-related signal, producing flow signal voids (see [53, 54, 95]). Thus, vessel lumens appear as dark areas.

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