E
Eric Y. Pierre
Researcher at Case Western Reserve University
Publications - 8
Citations - 539
Eric Y. Pierre is an academic researcher from Case Western Reserve University. The author has contributed to research in topics: Motion estimation & Time domain. The author has an hindex of 6, co-authored 8 publications receiving 422 citations. Previous affiliations of Eric Y. Pierre include Florey Institute of Neuroscience and Mental Health & University Hospitals of Cleveland.
Papers
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Journal ArticleDOI
SVD Compression for Magnetic Resonance Fingerprinting in the Time Domain
Debra McGivney,Eric Y. Pierre,Dan Ma,Yun Jiang,Haris Saybasili,Vikas Gulani,Mark A. Griswold +6 more
TL;DR: By compressing the size of the dictionary in the time domain, this work is able to speed up the pattern recognition algorithm, by a factor of between 3.4-4.8, without sacrificing the high signal-to-noise ratio of the original scheme presented previously.
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Multiscale reconstruction for MR fingerprinting.
TL;DR: To reduce the acquisition time needed to obtain reliable parametric maps with Magnetic Resonance Fingerprinting, a new approach is proposed to combine X-ray diffraction and Evans-Bouchut analysis.
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Development of high-resolution 3D MR fingerprinting for detection and characterization of epileptic lesions.
Dan Ma,Stephen E. Jones,Anagha Deshmane,Kenneth Earl Sakaie,Eric Y. Pierre,Mykol Larvie,Debra McGivney,Ingmar Blümcke,Balu Krishnan,Mark J. Lowe,Vikas Gulani,Imad Najm,Mark A. Griswold,Z. Irene Wang +13 more
TL;DR: Conventional MRI can be limited in detecting subtle epileptic lesions or identifying active/epileptic lesions among widespread, multifocal lesions.
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Music‐based magnetic resonance fingerprinting to improve patient comfort during MRI examinations
Dan Ma,Eric Y. Pierre,Yun Jiang,Mark D. Schluchter,Kawin Setsompop,Vikas Gulani,Mark A. Griswold +6 more
TL;DR: This work proposes a technique for mitigating the noise problem by producing musical sounds directly from the switching magnetic fields while simultaneously quantifying multiple important tissue properties.
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Image reconstruction algorithm for motion insensitive MR Fingerprinting (MRF): MORF
TL;DR: The purpose of this study is to increase the robustness of MR fingerprinting (MRF) toward subject motion by increasing the strength of the TSPs towards subject motion.