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Abstract #2590

Free-Stop Scanning for 3D TSE

Guobin Li1, Maxim Zaitsev1, Esther Meyer2, Dominik Paul2, Jrgen Hennig1

1University Medical Center Freiburg, Freiburg, Germany; 2Siemens Healthcare, Erlangen, Germany

The measurement time of 3D MR acquisition with turbo spin echo (TSE) sequence is usually long, and very prone to patient movement during the scanning. This leads to degrading of reconstructed image by motion artifacts. An compressed sensing based acquisition scheme is proposed to address this problem, which has these features: scanning stops at any time when motion is detected by built-in navigators; the distribution of acquired k-space points is always optimal whenever the scanning is interrupted; Artifact-free images are reconstructed if a minimum amount of data has been acquired.

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Keywords

acceptable acquisition acquisitions actually address adjusted amount applied artifact artifacts basic beginning breathing channel clean coil combination comparing compatible complementary complete consistent consists constrained contaminated corrupted corruption curve dedicated degrading designs detected detection determined developed devices disk divided empirically encoding examination example experiment experimental finished flexible fluctuations formula free frequency gridded happened happens illustration immediately inspired interleaved interleaving inverse knee leads length linear lowest makes manner mask matrix maxim medical middle minutes missing monitoring motion motions movement moving navigator navigators needs object occurred occurrence occurs often optical optimized part parts patient pattern period perpendicular prepared problem profile profiles program projected quantitatively radial random randomized real reconstruct reconstructed reconstruction refocusing reordering repeated retrospectively sampling scanner scanning scheme sector sectors sensing sensitivity sensor serves several short similarities similarity simple sketches slices smooth space stop stopped stops strongly sure taken term thought train trains trajectories transform turbo uniformly usually validation variable view whenever worst