Angiography and Plaque Imaging Advanced Segmentation by Muhammad Asim Khan PDF

By Muhammad Asim Khan

ISBN-10: 0192632825

ISBN-13: 9780192632821

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Extra resources for Angiography and Plaque Imaging Advanced Segmentation Techniques

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Neither superior nor inferior presaturation slab was applied. On the left is shown the data acquired using conventional multi-slab threedimensional TOF with ramped RF pulses to compensate for the signal loss of arterial flow. As theoretically indicated, ramped RF pulses render the flow signal in one direction at the cost of exaggerating the slab boundary artifact for the reversed flow (venous flow). On the right is shown the SLINKY technique without using ramped RF pulses. Slab boundary artifacts are nearly absent dispite the different flow direction, demonstrating the robustness of the technique.

The system was fast, because it found the central vessel axis in around 10 seconds. 2. One of the important aspects about this algorithm was the introduction of the smoothness constraint, which was responsible for tracking the sudden curvatures of the vessels. So basically, the direction of the tracking process was controlled by the new step vector, bnew (called the smoothed step vector), and was given as ␥a+(1−␥)cnew |b|, where ␥ was the scale factor and had a range bnew = |␥a+(1−␥)c new | from 0 to 1.

These methods can be used in combination along with different gating strategies (synchronizing with the cardiac cycle or respiratory motion) such as cardiac gating (ECG) or respiratory gating. Gating techniques improve the accuracy of blood flow information (blood flow varies in the systolic and diastolic phases) at the expense of extended imaging time. 1 Time-of-Flight (TOF) MR Angiography TOF25 utilizes the so-called in-flow effect (see [84–89]). Using a very short repetition time during data acquisition, the static surrounding tissue becomes saturated, resulting in low signal intensity in the acquired images.

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Angiography and Plaque Imaging Advanced Segmentation Techniques by Muhammad Asim Khan


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