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Abstract #2900

Improving SNR in deuterium metabolic imaging: A comparison of methods

Elton Tadeu Montrazi1, Ricardo Martinho1, Qingjia Bao2, Keren Sasson1, Lilach Agemy1, Avigdor Scherz1, and Lucio Frydman1
1Weizmann Institute of Science, Rehovot, Israel, 2Chinese Academy of Sciences, Wuhan, China


Deuterium metabolic imaging (DMI) is a promising approach to study tumor metabolism. Still, DMI’s signal-to-noise ratio (SNR) is limited because of 2H’s low Larmor frequency, coupled to the low concentrations of DMI’s targets. We recently proposed a multi-echo balanced steady-state free precession (ME-bSSFP) method increasing DMI’s SNR, but still find it lacking in some aspects. This work assesses simple apodization, Compressed Sensing Multiplicative (CoSeM) and Block-matching/3D filtering (BM3D) denoising methods for improving DMI’s results. The ability of the latter denoising methods to enhance sensitivity without blurring resolution, is evidenced by pancreatic cancer studies carried at 15.2T.

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