Real-time cardiac MRI with radial acquisition and k-space variant reduced-FOV reconstruction
Autor: | Yu Y. Li, Shams Rashid, William Schapiro, Christianne Leidecker, Marie Grgas, Ann-Marie Yamashita, Yang J. Cheng, Bernd Stoeckel, Jianing Pang, Michelle Mendez, J. Jane Cao, Elizabeth Haag, John Tang, Kathleen Gliganic |
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Rok vydání: | 2018 |
Předmět: |
Computer science
Computation Biomedical Engineering Biophysics Iterative reconstruction Article 030218 nuclear medicine & medical imaging law.invention 03 medical and health sciences Electrocardiography 0302 clinical medicine Sampling (signal processing) law Region of interest Heart Rate Image Processing Computer-Assisted Humans Radiology Nuclear Medicine and imaging Cartesian coordinate system Models Statistical Fourier Analysis Phantoms Imaging Geodetic datum k-space Heart Magnetic Resonance Imaging Radiography Correlation function (statistical mechanics) Exercise Test Algorithm 030217 neurology & neurosurgery Algorithms |
Zdroj: | Magnetic resonance imaging. 53 |
ISSN: | 1873-5894 |
Popis: | This work aims to demonstrate that radial acquisition with k-space variant reduced-FOV reconstruction can enable real-time cardiac MRI with an affordable computation cost. Due to non-uniform sampling, radial imaging requires k-space variant reconstruction for optimal performance. By converting radial parallel imaging reconstruction into the estimation of correlation functions with a previously-developed correlation imaging framework, Cartesian k-space may be reconstructed point-wisely based on parallel imaging relationship between every Cartesian datum and its neighboring radial samples. Furthermore, reduced-FOV correlation functions may be used to calculate a subset of Cartesian k-space data for image reconstruction within a small region of interest, making it possible to run real-time cardiac MRI with an affordable computation cost. In a stress cardiac test where the subject is imaged during biking with a heart rate of >100 bpm, this k-space variant reduced-FOV reconstruction is demonstrated in reference to several radial imaging techniques including gridding, GROG and SPIRiT. It is found that the k-space variant reconstruction outperforms gridding, GROG and SPIRiT in real-time imaging. The computation cost of reduced-FOV reconstruction is ~2 times higher than that of GROG. The presented work provides a practical solution to real-time cardiac MRI with radial acquisition and k-space variant reduced-FOV reconstruction in clinical settings. |
Databáze: | OpenAIRE |
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