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Abstract #4748

Multi-channel multi-contrast reconstructions via simultaneous use of individual and joint regularization terms

Emre Kopanoglu1,2, Alper Güngör2, Toygan Kilic3,4, Emine Ulku Saritas3,4,5, Kader K. Oguz4,6, Tolga Çukur3,4,5, and H. Emre Güven2

1CUBRIC, School of Psychology, Cardiff University, Cardiff, United Kingdom, 2ASELSAN Research Center, Ankara, Turkey, 3Electrical and Electronics Engineering, Bilkent University, Ankara, Turkey, 4National Magnetic Resonance Research Center (UMRAM), Bilkent University, Ankara, Turkey, 5Neuroscience Program, Sabuncu Brain Research Center, Bilkent University, Ankara, Turkey, 6Radiology, Hacettepe University, Ankara, Turkey

Multi-contrast images of the same anatomy are commonly acquired together to maximize diagnostic information. We demonstrate a multi-channel multi-contrast compressed sensing – parallel imaging (CS-PI) technique that simultaneously uses joint and individual regularization terms to exploit anatomical similarities across contrasts without leakage of distinct features across contrasts and that incorporates coil sensitivities to further improve image quality. The method is compared in-vivo to the single-contrast multi-channel CS-PI method l1-ESPIRiT for PD-/T1-/T2-weighted images of N=11 participants using signal-to-noise ratio calculations as well as neuroradiologist reader studies. The proposed method yields superior performance than l1-ESPIRiT both quantitatively and qualitatively.

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