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EPI with Keyhole (EPIK) is a hybrid imaging technique used to improve the performance of EPI in dynamic MRI applications. The method had been previously validated at 1.5 T with both phantom and in vivo images; EPIK was able to provide a higher temporal resolution and less image distortions than single-shot EPI. The data presented here demonstrate that the performance of EPIK can be further improved by accelerating it with the parallel imaging. For this work, this combination was tested at 3 T. After initial evaluation using phantom images, use of the method in functional MRI was verified with visual fMRI measurements as well as MRI simulation results. The results showed that accelerated EPIK had increased temporal resolution with favorable robustness against susceptibility artifacts when compared with EPI or non-accelerated EPIK.
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http://dx.doi.org/10.1016/j.neuroimage.2013.01.070 | DOI Listing |
Phys Med Biol
September 2025
Institute of Applied Medical Engineering, Helmholtz Institute, RWTH Aachen University Medical Faculty, Pauwelsstraße 20, Aachen, 52074, GERMANY.
Objective: Magnetic particle imaging (MPI) opens huge possibilities in image-guided therapy. Its effectiveness is strongly influenced by the quality of the magnetic nanoparticles (MNP) used as tracers. Besides MNP optimization following different synthesis routes, MNP assembly into linear structures can significantly enhance their performance in MPI.
View Article and Find Full Text PDFCereb Cortex
August 2025
The Clinical Hospital of Chengdu Brain Sciences Institute, University of Electronic Sciences and Technology of China (UESTC), 2006 Xiyuan Avenue, West Hi Tech Zone, 611731, Chengdu, China.
This commentary reflects three decades of interaction between the Cuban neuroinformatics tradition and the statistical parametric mapping (SPM) framework. From the early development of neurometrics in Cuba to global initiatives like the Global Brain Consortium, our trajectory has paralleled and intersected with that of SPM. We highlight shared commitments to generative modeling, Bayesian inference, and population-level brain mapping, as shaped through collaborations, workshops, and joint theoretical work with Karl Friston and his group.
View Article and Find Full Text PDFMed Phys
September 2025
School of Computer, Electronics and Information, Guangxi University, Nanning, China.
Background: Deformable medical image registration is a critical task in medical imaging-assisted diagnosis and treatment. In recent years, medical image registration methods based on deep learning have made significant success by leveraging prior knowledge, and the registration accuracy and computational efficiency have been greatly improved. Models based on Transformers have achieved better performance than convolutional neural network methods (ConvNet) in image registration.
View Article and Find Full Text PDFParkinsonism Relat Disord
September 2025
Clinical Neurosciences, University of Turku, Turku, Finland; Neurocenter, Turku University Hospital, Turku, Finland. Electronic address:
Introduction: Sarcopenia, the age-related loss of muscle mass and function, has been reported in Parkinson's disease (PD). While grip strength is a key marker of sarcopenia and has been linked to PD risk and progression, its relationship with underlying neurodegenerative processes remains unclear. This study examines whether grip strength is impaired in PD and reflects disease severity or dopaminergic function.
View Article and Find Full Text PDFKhirurgiia (Mosk)
September 2025
Pavlov Ryazan State Medical University, Ryazan, Russia.
The authors present a rare variant of celiac axis anatomy including acute angle of departure, ultra-short length and «parallel» course of the main branches. When analyzing the literature on this problem, they found no similar reports. This clinical example once again emphasizes significant variability of celiac axis anatomy and the need for a thorough examination of patients using all possible diagnostic methods, especially before surgery.
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