ArticleNMR in biomedicine2026
Volumetric and Intrastructural Characterization of the Substantia Nigra Using Optimized Synthetic MR Images Derived From Quantitative T1 Maps at 3 T.
Article in NMR in biomedicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Accurate imaging of the substantia nigra (SN) is critical for diagnosing and monitoring neurodegenerative conditions like Parkinson's disease. However, conventional magnetic resonance imaging (MRI) struggles to precisely visualize this small structure within the deep brain due to poor intrinsic tissue contrast. Although quantitative MRI (qMRI) captures objective tissue properties with diagnostic value to assess neurodegenerative conditions of the SN, additionally acquiring multiple MRI contrasts inherently requires impractically long scan times. To overcome this, qMRI-derived synthetic MRI uses mathematical signal models to retrospectively generate various synthetic contrast weightings from a single map of quantitative T1-relaxation times (qT1). This study investigated which mathematical transformations of qT1 maps, including an approximation for pseudo-proton spin density (pPSD), are best suited to derive optimized synthetic MRI contrasts for accurate SN analysis. By evaluating six dedicated qT1-derived contrast weightings in healthy subjects, this work demonstrates that a nonlinear, signal-increased pPSD-based synthetic MRI contrast (si
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