Keywords: Data Processing, Hyperpolarized MR (Non-Gas), Pyruvate, Apparent Exchange Rate Constant, IDEAL Spiral CSI Sequence and Reconstruction
Motivation:
| The rapid decay of clinical lactate signals compromises image quality and quantitative reliability, making traditional kinetic models that require multiple images impractical. |
Goal(s):
| To overcome signal decay limitations, we aim to analyze data using only a single set of metabolic images from IDEAL Chemical Shift Imaging (CSI). |
Approach:
| By acquiring one set of N metabolite images with echo time shifts, we leverage spectral and echo time information to extract metabolite signals and calculate exchange rates in the spatial frequency domain. |
Results:
| Our model successfully estimated metabolic signals and yielded consistent apparent exchange rate constants across three sequential datasets. |
Impact: This work introduces a single-dataset K-space analysis method enhancing IDEAL CSI in hyperpolarized ¹³C MRI, enabling accurate estimation of metabolic exchange rates, which simplifies data analysis and advances understanding of disease mechanisms and treatment responses.
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