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In the evaluation of myocardial infarction, cardiac MRI remains problematic in terms of sensitivity and quantitativeness. Thus, we sought to delineate pathological microstructural alterations across temporal phases subsequent to myocardial ischemia-reperfusion (IR) injury utilizing q-space imaging (QSI), an advanced diffusion imaging methodology proficient in assessing the non-Gaussian diffusion patterns of molecules. Rats were subjected to IR injury, and infarct was evaluated at 2, 7, and 30 days via histopathological staining and MRI using a 9.4-Tesla system. QSI was performed with gadolinium-enhanced T1-weighted imaging (T1WI) for comparative assessment. Correlation coefficients among images were computed at each level of the left ventricular short-axis cross-section to juxtapose the infarct dimensions and morphology. Axial diffusivity of the kurtosis maps at 2, 7, and 30 days revealed substantial correlations with the hyperintense areas noted on T1WI (R = 0.885, 0.947, and 0.929, respectively). Furthermore, a strong correlation was noted with the transmural extent of infarction. Even in the absence of gadolinium contrast, the high-intensity regions delineated by QSI were concordant with the extent of pathological infarction (R = 0.977). These findings highlight the capability of QSI in identifying pathological changes at the infarct site, independent of gadolinium contrast media and irrespective of the temporal phase subsequent to the IR onset.
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http://dx.doi.org/10.1038/s41598-025-14394-1 | DOI Listing |
Magn Reson Med
August 2025
Department of Radiology and Biomedical Engineering, University of Virginia, Charlottesville, Virginia, USA.
Purpose: To demonstrate the extended capabilities of 3D multi-slab diffusion-weighted acquisition (3D-msDWI) on high-performance gradients (HPG) to support advanced microstructure modeling for in-vivo human studies at high resolutions.
Methods: Despite optimal SNR-efficiency, the application of 3D-msDWI has been limited by the long volume acquisition times (VAT) required for encoding the 3D k-space using multi-shot approaches. Substantial reduction of VAT is possible by employing optimized 3D k-space under-sampling methods.
Sci Rep
August 2025
Department of Cardiology, Keio University School of Medicine, 35 Shinanomachi, Shinjuku, Tokyo, 160-8582, Japan.
In the evaluation of myocardial infarction, cardiac MRI remains problematic in terms of sensitivity and quantitativeness. Thus, we sought to delineate pathological microstructural alterations across temporal phases subsequent to myocardial ischemia-reperfusion (IR) injury utilizing q-space imaging (QSI), an advanced diffusion imaging methodology proficient in assessing the non-Gaussian diffusion patterns of molecules. Rats were subjected to IR injury, and infarct was evaluated at 2, 7, and 30 days via histopathological staining and MRI using a 9.
View Article and Find Full Text PDFPhys Med Biol
August 2025
Paul C. Lauterbur Research Center for Biomedical Imaging, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, People's Republic of China.
. Neurite orientation dispersion and density imaging (NODDI) microstructure estimation from diffusion magnetic resonance imaging (dMRI) is of great significance for the discovery and treatment of various neurological diseases. Current deep learning-based methods accelerate the speed of NODDI parameter estimation and improve the accuracy.
View Article and Find Full Text PDFNeuroscience
August 2025
Center of Biomedical Engineering Research (C-BER) of Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência (INESC-TEC), Rua Roberto Frias, Porto, 4200-465, Portugal; Neuroradiology Department of Unidade Local de Saúde São João, Porto, Portugal; Faculty of Medicine of Universit
Hypertension (HT) is the leading risk factor for cerebral small vessel disease (CSVD). White matter lesions (WML) linked to CSVD are visible on conventional neuroimaging, likely reflecting late irreversible stages of the CSVD pathological cascade. Despite the prevalence of this disease, the mechanistic link between CSVD, hypertension and WML remains poorly understood.
View Article and Find Full Text PDFMagn Reson Imaging
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Division of Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120 Heidelberg, Germany; Faculty of Physics and Astronomy, Heidelberg University, Im Neuenheimer Feld 226, 69120 Heidelberg, Germany. Electronic address:
Nuclear magnetic resonance diffusion methods are powerful tools for investigating the underlying structure of materials or tissues. Diffusion pore imaging (DPI) provides access to information about the geometric shape of pores containing diffusible substances. This technique yields an averaged image of the pores present in the imaging volume and enables measurements at a scale much smaller than that of conventional MR imaging.
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