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Abstract #3820

Combining Coil Compression and Direct Virtual Coil for Dynamic MRI Using Auto-Calibrating Parallel Imaging

Kang Wang1, Tao Zhang2, Philip J. Beatty3, Dan W. Rettmann4, Ersin Bayram5, James H. Holmes1

1Global Applied Science Laboratory, GE Healthcare, Madison, WI, United States; 2Electrical Engineering, Stanford University, Stanford, CA, United States; 3Sunnybrook Research Institute, Toronto, ON, Canada; 4Global Applied Science Laboratory, GE Healthcare, Rochester, MN, United States; 5GE Healthcare, Waukesha, WI, United States

Auto-calibrating parallel imaging (acPI) methods have advantages over physically-modeled methods in reduced FOV applications or when it is difficult to accurately measure coil sensitivity maps, such as breath-hold exams. However, for challenging clinical protocols that use large channel counts, big matrix sizes and high parallel imaging factors, conventional channel-by-channel acPI methods may still have long reconstruction latency. To address this issue, Coil Compression (CC) and Direct Virtual Coil (DVC) techniques have been proposed independently. This work is to demonstrate the feasibility of combining the two techniques to achieve even higher reduction in computation without compromise in image quality.

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Keywords

accelerate acceleration accurately achieve achieved acquisition address advantage advantages afterwards aligned alignment although applications applied auto calibrating calibration challenge challenging channel channels clinical coefficients coil combination combine combined combining complementary compressed compression compromise computation computationally compute computes concept considerable counts dataset datasets described determination diagram difficult direct discovery dynamic early efficient electrical engineering even exams expected external faster feasibility frame generally generated global greater hereafter highlighted implementation improvements includes independently institute isotropic kernel king laboratory latency liver long machine major majority maps matched materials matrix measure measured merging modeled none parallel perfusion peripheral physical physically potential problem proposed protocols quality rapidly recently reconstructed reconstruction reconstructions reduce reduced reduction referred repeatedly resolution scanner scheme science sensitivity sharing significantly slice source space spatial spatially speaking step still synthesis table target temporal theory threading typically varying view virtual worsens