Two for One-Combined Morphologic and Quantitative Knee Joint MRI Using a Versatile Turbo Spin-Echo Platform.
Teresa LemainqueNicola PridöhlMarc HuppertzManuel PostCan YükselRobert SiepmannKarl Ludger RadkeShuo ZhangMasami YoneyamaAndreas PrescherChristiane KuhlDaniel TruhnSven NebelungPublished in: Diagnostics (Basel, Switzerland) (2024)
Quantitative MRI techniques such as T2 and T1ρ mapping are beneficial in evaluating knee joint pathologies; however, long acquisition times limit their clinical adoption. MIXTURE (Multi-Interleaved X-prepared Turbo Spin-Echo with IntUitive RElaxometry) provides a versatile turbo spin-echo (TSE) platform for simultaneous morphologic and quantitative joint imaging. Two MIXTURE sequences were designed along clinical requirements: "MIX1", combining proton density (PD)-weighted fat-saturated (FS) images and T2 mapping (acquisition time: 4:59 min), and "MIX2", combining T1-weighted images and T1ρ mapping (6:38 min). MIXTURE sequences and their reference 2D and 3D TSE counterparts were acquired from ten human cadaveric knee joints at 3.0 T. Contrast, contrast-to-noise ratios, and coefficients of variation were comparatively evaluated using parametric tests. Clinical radiologists ( n = 3) assessed diagnostic quality as a function of sequence and anatomic structure using five-point Likert scales and ordinal regression, with a significance level of α = 0.01. MIX1 and MIX2 had at least equal diagnostic quality compared to reference sequences of the same image weighting. Contrast, contrast-to-noise ratios, and coefficients of variation were largely similar for the PD-weighted FS and T1-weighted images. In clinically feasible scan times, MIXTURE sequences yield morphologic, TSE-based images of diagnostic quality and quantitative parameter maps with additional insights on soft tissue composition and ultrastructure.
Keyphrases
- contrast enhanced
- magnetic resonance
- high resolution
- diffusion weighted
- magnetic resonance imaging
- computed tomography
- deep learning
- diffusion weighted imaging
- convolutional neural network
- optical coherence tomography
- room temperature
- soft tissue
- density functional theory
- artificial intelligence
- endothelial cells
- air pollution
- single molecule
- total knee arthroplasty
- high throughput
- high density
- dual energy
- network analysis
- machine learning
- transition metal
- fluorescence imaging
- fatty acid