Efficient pulse sequence design framework for high‐dimensional MR fingerprinting scans using systematic error index

• Published in: Magnetic resonance in medicine Vol. 92; no. 4; pp. 1600 - 1616
• Main Authors: Hu, Siyuan, Qiu, Zhilang, Adams, Richard James, Zhao, Walter, Boyacioglu, Rasim, Calvetti, Daniela, McGivney, Debra, Ma, Dan
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.10.2024
• Subjects: Acceleration; Algorithms; Approximation; Brain - diagnostic imaging; Computational efficiency; Computer applications; Computer Simulation; Computing costs; Design optimization; Fingerprinting; Humans; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Image Processing, Computer-Assisted - methods; In vivo methods and tests; Magnetic Resonance Imaging - methods; Mathematical models; Reproducibility of Results; Sequences; Signal Processing, Computer-Assisted; Simulation; Systematic errors; error characterization; magnetic resonance fingerprinting; pulse sequence optimization; accelerated simulation; undersampling artifacts

For effective optimization of MR fingerprinting (MRF) pulse sequences, estimating and minimizing errors from actual scan conditions are crucial. Although virtual-scan simulations offer an approximation to these errors, their computational demands become expensive for high-dimensional MRF frameworks,...