Publications by authors named "A Henning"
Fat infiltration in skeletal muscle is related to declining muscle strength, whereas excess subcutaneous fat is implicated in the development of metabolic diseases. Using multi-slice axial T2-weighted (T2w) MR images, this retrospective study characterized muscle fat infiltration (MFI) and fat distribution in the lower extremity of 107 subjects (64M/43F, age 11-79 years) with diverse ethnicities (including White, Black, Latino, and Asian subjects). MRI data analysis shows that MFI, evaluated by the relative intensities of the pixel histogram profile in the calf muscle, tends to increase with both age and BMI.
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- A novel method for generating homogeneous images in MRI has been developed using bilateral orthogonality generative acquisitions, specifically targeting corrections for transmit field inhomogeneity in high-field 7 T systems with parallel transmission (pTx) technology.
- This method utilizes four low-angle gradient-echo (GRE) acquisitions, including two in circularly polarized mode and two with altered transmit phases, to improve image quality across various pTx system setups, including dual-channel and eight-channel configurations.
- Results show that the new approach provides superior contrast, especially in low-intensity areas, making it a straightforward and effective solution for obtaining consistent brain images compared to existing methods like TIAMO.
Purpose: To develop and evaluate a novel method for computationally efficient reconstruction from noisy MR spectroscopic imaging (MRSI) data.
Methods: The proposed method features (a) a novel strategy that jointly learns a nonlinear low-dimensional representation of high-dimensional spectroscopic signals and a neural-network-based projector to recover the low-dimensional embeddings from noisy/limited data; (b) a formulation that integrates the forward encoding model, a regularizer exploiting the learned representation, and a complementary spatial constraint; and (c) a highly efficient algorithm enabled by the learned projector within an alternating direction method of multipliers (ADMM) framework, circumventing the computationally expensive network inversion subproblem.
Results: The proposed method has been evaluated using simulations as well as in vivo H and P MRSI data, demonstrating improved performance over state-of-the-art methods, with about 6 fewer averages needed than standard Fourier reconstruction for similar metabolite estimation variances and up to 100 reduction in processing time compared to a prior neural network constrained reconstruction method.
Article Synopsis
- * A systematic review analyzed 18 studies, finding an overall AAS use prevalence of 4% among women, with notable differences between subgroups: 16.8% in bodybuilders, 4.4% in athletes/gym users, and 1.4% in the general population.
- * The results suggest that AAS use is significantly higher in bodybuilders and athletes compared to other women, highlighting a concerning trend in these groups.