Validation of Highly-Accelerated Real-Time Cardiac Cine MRI with Radial k-space Sampling and Compressed Sensing in Patients at 1.5T and 3T

Autor: Jeremy D. Collins, Daniel C. Lee, Ganesh Adluru, Daniel Kim, Tobias K. Block, Tamara Isakova, Hassan Haji-Valizadeh, Edward V. R. DiBella, James C. Carr, Amir Ali Rahsepar, Elwin C. Bassett
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Popis: Purpose To validate an optimal 12-fold accelerated real-time cine MRI pulse sequence with radial k-space sampling and compressed sensing (CS) in patients at 1.5T and 3T. Methods We used two strategies to reduce image artifacts arising from gradient delays and eddy currents in radial k-space sampling with balanced steady-state free precession readout. We validated this pulse sequence against a standard breath-hold cine sequence in two patient cohorts: a myocardial infarction (n = 16) group at 1.5T and chronic kidney disease group (n = 18) at 3T. Two readers independently performed visual analysis of 68 cine sets in four categories (myocardial definition, temporal fidelity, artifact, noise) on a 5-point Likert scale (1 = nondiagnostic, 2 = poor, 3 = adequate or moderate, 4 = good, 5 = excellent). Another reader calculated left ventricular (LV) functional parameters, including ejection fraction. Results Compared with standard cine, real-time cine produced nonsignificantly different visually assessed scores, except for the following categories: 1) temporal fidelity scores were significantly lower (P = 0.013) for real-time cine at both field strengths, 2) artifacts scores were significantly higher (P = 0.013) for real-time cine at both field strengths, and 3) noise scores were significantly (P = 0.013) higher for real-time cine at 1.5T. Standard and real-time cine pulse sequences produced LV functional parameters that were in good agreement (e.g., absolute mean difference in ejection fraction
Databáze: OpenAIRE