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Purpose: To demonstrate flow-suppressed two-dimensional (2D) spin-echo and spin-echo diffusion echo-planar imaging (EPI) sequences using hyperbolic secant (HS) pulses for both π/2 excitation and π refocusing.
Theory And Methods: A theoretical framework to derive phase dispersion of moving spins under π/2 excitation and π refocusing using HS pulses was described. Numerical simulations were performed to verify the validity of the theoretical analysis. All experiments were performed on a 3T clinical scanner. Phantom and human-brain imaging was performed using 2D spin-echo sequence, and liver imaging was performed using 2D spin-echo diffusion EPI. The signal-to-noise ratio and residual blood flow signal of the proposed sequences were compared with those of conventional spin-echo sequences using sinc pulses.
Results: Results from human brain and liver images demonstrated that the proposed method substantially reduced blood flow artifacts. In the brain, venous blood flow was suppressed more effectively with the proposed method than with conventional spin-echo sequence using presaturation. In the liver, as compared with spin-echo sequence using sinc pulses, the proposed method showed noticeable attenuation of bright blood signals at low b-values, whereas the overall tissue signal in peripheral regions was higher. The signal-to-noise ratio was enhanced by 10% to 30%, indicating improved B tolerance due to the adiabatic π refocusing HS pulse.
Conclusion: Flow suppression and partial B insensitivity were achieved by replacing sinc pulses with HS pulses in conventional 2D spin-echo imaging and spin-echo diffusion EPI sequences. This approach may be particularly useful in various applications requiring reduced vascular signal contamination, such as liver and brain imaging.
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http://dx.doi.org/10.1002/mrm.70032 | DOI Listing |
Magn Reson Med
September 2025
Laboratorio de Procesado de Imagen (LPI), Universidad de Valladolid, Valladolid, Spain.
Purpose: (a) To design a methodology for drawing random samples of any Ensemble Average Propagator (EAP) (b) to modify the KomaMRI simulator to accommodate them as realistic spin movements to simulate diffusion MRI (dMRI) and (c) to compare these simulations with those based on the Diffusion Tensor (DT) model.
Theory And Methods: The rejection method is used for random sampling of EAPs: starting from a probability law that is easily sampled, and whose density function wraps the target EAP, samples are accepted when they lie inside the targeted region. This is used to sample the EAP as described by Mean Apparent Propagator MRI (MAP-MRI) and in Spherical Convolution (SC) based on Spherical Harmonics (SH).
Radiol Imaging Cancer
September 2025
Department of Radiology, Breast Imaging Service, Memorial Sloan Kettering Cancer Center, New York, NY.
Purpose To evaluate intravoxel incoherent motion (IVIM) biomarkers across different MRI vendors and software programs for breast cancer characterization in a two-site study. Materials and Methods This institutional review board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study included 106 patients (with 18 benign and 88 malignant lesions) who underwent bilateral diffusion-weighted imaging (DWI) between February 2009 and March 2013. DWI was performed using 1.
View Article and Find Full Text PDFJ Magn Reson Imaging
September 2025
Department of Radiology, First Medical Center, Chinese PLA General Hospital, Beijing, China.
Background: MRI assessment for extraprostatic extension (EPE) of prostate cancer (PCa) is challenging due to limited accuracy and interobserver agreement.
Purpose: To develop an interpretable Tabular Prior-data Fitted Network (TabPFN)-based radiomics model to evaluate EPE using MRI and explore its integration with radiologists' assessments.
Study Type: Retrospective.
Med Phys
September 2025
Department of Radiology, Beijing Hospital, National Center of Gerontology, Institute of Geriatric Medicine, Chinese Academy of Medical Sciences, Beijing, P.R. China.
Background: Advanced diffusion models have been introduced to improve characterization of tissue microstructure in breast cancer assessment.
Purpose: This study aimed to evaluate the diagnostic utility of monoexponential apparent diffusion coefficient (ADC), time-dependent diffusion magnetic resonance imaging (td-dMRI), and the Continuous-Time Random-Walk (CTRW) diffusion model for differentiating breast lesions and predicting Ki-67 expression levels.
Methods: Fifty-three consecutive patients with suspected breast lesions undergoing preoperative MRI were enrolled in this prospective investigation.
J Cardiovasc Magn Reson
September 2025
Leeds Institute of Cardiovascular and Metabolic Medicine (LICAMM), University of Leeds, Leeds, UK. Electronic address:
Background: Cardiac diffusion tensor imaging (cDTI) is sensitive to imaging parameters including the number of unique diffusion encoding directions (ND) and number of repetitions (NR; analogous to number of signal averages or NSA). However, there is no clear guidance for optimising these parameters in the clinical setting.
Methods: Spin echo cDTI data with 2 order motion compensated diffusion encoding gradients were acquired in ten healthy volunteers on a 3T MRI scanner with different diffusion encoding schemes in pseudo-randomised order.