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- W4385545863 abstract "Deuterium metabolic imaging (DMI) is a promising approach to study tumor metabolism. Still, DMI’s signal-to-noise ratio (SNR) is limited because of 2 H’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." @default.
- W4385545863 created "2023-08-04" @default.
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- W4385545863 date "2023-08-03" @default.
- W4385545863 modified "2023-09-27" @default.
- W4385545863 title "Improving SNR in deuterium metabolic imaging: A comparison of methods" @default.
- W4385545863 doi "https://doi.org/10.58530/2022/2900" @default.
- W4385545863 hasPublicationYear "2023" @default.
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