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Purpose: To reduce image distortion in MR diffusion imaging using an accelerated multi-shot method.
Methods: The proposed method exploits the fact that diffusion-encoded data tend to be sparse when represented in the kb-kd space, where kb and kd are the Fourier transform duals of b and d, the b-factor and the diffusion direction, respectively. Aliasing artifacts are displaced toward under-used regions of the kb-kd plane, allowing nonaliased signals to be recovered. A main characteristic of the proposed approach is how thoroughly the navigator information gets used during reconstruction: The phase of navigator images is used for motion correction, while the magnitude of the navigator signal in kb-kd space is used for regularization purposes. As opposed to most acceleration methods based on compressed sensing, the proposed method reduces the number of ky lines needed for each diffusion-encoded image, but not the total number of images required. Consequently, it tends to be most effective at reducing image distortion rather than reducing total scan time.
Results: Results are presented for three volunteers with acceleration factors ranging from 4 to 8, with and without the inclusion of parallel imaging.
Conclusion: An accelerated motion-corrected diffusion imaging method was introduced that achieves good image quality at relatively high acceleration factors.
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http://dx.doi.org/10.1002/mrm.24919 | DOI Listing |
MAGMA
September 2025
Department of Medical Imaging, (766), Radboud University Medical Center, Geert Grooteplein 10Radboudumc, P.O. Box 9101, 6500 HB, Nijmegen, the Netherlands.
Objective: To improve B field homogeneity in prostate MR imaging and spectroscopy using a custom-designed 16-channel external local shim coil array.
Methods: In vivo prostate imaging was performed in seven healthy volunteers (mean age: 40.7 years) without bowel preparation.
J Neural Transm (Vienna)
September 2025
Sárospatak College, Sztárai Institute, University of Tokaj, Eötvöst str. 7, Sárospatak, 3944, Hungary.
Generalized Anxiety Disorder (GAD) is characterized by excessive worry and physical symptoms of prolonged anxiety. Patients with subclinical GAD-states (sub-GAD) do not fulfill the diagnostic criteria of GAD, but they often show a disease burden similar to GAD, and the subclinical state may turn into a full syndrome. Neuroinflammation may contribute to changes in brain structures in sub-GAD, but direct evidence remains lacking.
View Article and Find Full Text PDFJ Neurotrauma
September 2025
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Mean apparent propagator MRI (MAP-MRI) quantifies subtle alterations in tissue microstructure noninvasively and provides a more nuanced and comprehensive assessment of tissue architectural and structural integrity compared with other diffusion MRI techniques. We investigate the sensitivity of MAP-MRI-derived quantitative imaging biomarkers to detect previously unseen microstructural damage in patients with mild traumatic brain injuries (mTBI), whose clinical scans otherwise appeared normal. We developed and validated an MAP-MRI data processing pipeline for analyzing diffusion-weighted images for use in healthy controls and mTBI patients whose longitudinal scans were obtained from the GE/NFL/mTBI MRI database.
View Article and Find Full Text PDFNeurobiol Dis
September 2025
Department of Neurology, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China. Electronic address:
The effect of recurrent seizures on the gradual deterioration of the white matter structural network and the potential molecular mechanisms that underlie the baseline and longitudinal changes in network topology in temporal lobe epilepsy (TLE) remain unclear. Therefore, we used diffusion tensor imaging (DTI) scans and neuropsychiatric assessments for 28 patients with unilateral TLE at baseline and follow-up, and for 28 healthy controls (HC). The topological properties of the structural network were calculated using graph theoretical analyses.
View Article and Find Full Text PDFBrain Res Bull
September 2025
Department of Psychiatry, Keck School of Medicine, University of Southern California, Los Angeles, CA; Institute for the Developing Mind, Children's Hospital Los Angeles, Los Angeles, CA.
We propose a Biophysically Restrained Analog Integrated Neural Network (BRAINN), an analog electrical network that models the dynamics of brain function. The network interconnects analog electrical circuits that simulate two tightly coupled brain processes: (1) propagation of an action potential, and (2) regional cerebral blood flow in response to the metabolic demands of signal propagation. These two processes are modeled by two branches of an electrical circuit comprising a resistor, a capacitor, and an inductor.
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