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Abstract #3686

Optimizing MRSI semi-LASER for mouse brain tumor studies: evaluation of increased spatial resolution and k-space sampling strategies

Zoona Javed1,2, Gary V Martinez3, Marta Mulero-Acevedo1,4,5, Ana Paula Candiota1,4,5, Carles Arús 1,4,5, Miquel Cabañas Egaña2,4, and Silvia Lope-Piedrafita2,4
1Departament de Bioquímica i Biologia Molecular, Universitat Autònoma de Barcelona, Cerdanyola del Valles, Spain, 2Servei de Ressonància Magnètica Nuclear, Universitat Autonoma de Barcelona, Cerdanyola del Valles, Spain, 3Department of Imaging Physics,, The University of Texas M.D. Anderson Cancer Center, Houston, TX, United States, 4Centro de Investigación Biomédica en Red en Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Cerdanyola del Valles, Spain, 5Institut de Biotecnologia i de Biomedicina (IBB), Universitat Autònoma de Barcelona, Cerdanyola del Valles, Spain

Synopsis

Keywords: Spectroscopy, Cancer, Brain TumorMRSI-based nosological images have been previously applied to monitor therapy response in a murine model of GL261 glioblastoma using a commercially available MRSI-PRESS sequence. Due to the heterogeneous nature of glioblastomas, increasing spatial resolution could provide additional insight into changes related to therapy response. The in-house implementation of the MRSI-semi-LASER sequence, using weighted acquisition, has allowed us a 20% slice thickness reduction without losing relevant spectral quality. Moreover, different k-space sampling strategies have been evaluated showing significant SNR increase with elliptical sampling, which may allow further increase in the spatial resolution or reduction in the total experimental time.

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