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Introduction: Reduced blood perfusion has been observed in patients with Alzheimer's disease (AD), but the patterns of blood perfusion changes during AD progression remain insufficiently explored.
Methods: Quantitative transport mapping (QTM) is a novel biophysical modeling-based method for quantifying blood perfusion velocity. In this study, we examined regional changes in perfusion velocity throughout AD progression by combining QTM velocity measurements with Granger causality analysis using cross-sectional data, as a secondary and exploratory analysis following our previous QTM work, aiming to offer a comprehensive view of the QTM velocity patterns based on the arterial territories.
Results: Reduced QTM velocity was observed in the middle cerebral artery (MCA)-supplied regions for patients with mild cognitive impairment. The MCA-supplied temporal lobe is a driving region of QTM velocity changes in other brain regions.
Discussion: The temporal lobe supplied by the MCA is the earliest brain region to exhibit changes in QTM velocity, indicating its potential as an early biomarker for AD diagnosis.
Highlights: Quantitative transport mapping (QTM) velocity was significantly reduced in the middle cerebral artery (MCA)-supplied regions among patients with mild cognitive impairment, compared to cognitively normal individuals. The temporal lobe supplied by the MCA is a driving region of QTM velocity changes in other brain regions. The temporal lobe supplied by the MCA has great potential as an early biomarker for AD diagnosis.
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http://dx.doi.org/10.1002/alz.70540 | DOI Listing |
Alzheimers Dement
August 2025
Department of Radiology, Brain Health Imaging Institute (BHII), Weill Cornell Medicine, New York, New York, USA.
Introduction: Reduced blood perfusion has been observed in patients with Alzheimer's disease (AD), but the patterns of blood perfusion changes during AD progression remain insufficiently explored.
Methods: Quantitative transport mapping (QTM) is a novel biophysical modeling-based method for quantifying blood perfusion velocity. In this study, we examined regional changes in perfusion velocity throughout AD progression by combining QTM velocity measurements with Granger causality analysis using cross-sectional data, as a secondary and exploratory analysis following our previous QTM work, aiming to offer a comprehensive view of the QTM velocity patterns based on the arterial territories.
Biomimetics (Basel)
January 2025
Group of Biomechatronics, Fachgebiet Biomechatronik, Technische Universität Ilmenau, D-98693 Ilmenau, Germany.
Anguilliform locomotion, an efficient aquatic locomotion mode where the whole body is engaged in fluid-body interaction, contains sophisticated physics. We hypothesized that data-driven modeling techniques may extract models or patterns of the swimmers' dynamics without implicitly measuring the hydrodynamic variables. This work proposes empirical kinematic control and data-driven modeling of a soft swimming robot.
View Article and Find Full Text PDFAlzheimers Res Ther
July 2024
Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), No. 19, Xiuhua St, Xiuying Dic, Haikou, Hainan, 570311, People's Republic of China.
Background: Quantitative transport mapping (QTM) of blood velocity, based on the transport equation has been demonstrated higher accuracy and sensitivity of perfusion quantification than the traditional Kety's method-based cerebral blood flow (CBF). This study aimed to investigate the associations between QTM velocity and cognitive function in Alzheimer's disease (AD) using multiple post-labeling delay arterial spin labeling (ASL) MRI.
Methods: A total of 128 subjects (21 normal controls (NC), 80 patients with mild cognitive impairment (MCI), and 27 AD) were recruited prospectively.
medRxiv
March 2024
Department of Radiology, Hainan General Hospital (Hainan Affiliated Hospital of Hainan Medical University), Haikou, China.
Background: Quantitative transport mapping (QTM) of blood velocity, based on the transport equation has been demonstrated higher accuracy and sensitivity of perfusion quantification than the traditional Kety's method-based blood flow (Kety flow). This study aimed to investigate the associations between QTM velocity and cognitive function in Alzheimer's disease (AD) using multiple post-labeling delay arterial spin labeling (ASL) MRI.
Methods: A total of 128 subjects (21 normal controls (NC), 80 patients with mild cognitive impairment (MCI), and 27 AD) were recruited prospectively.
Tomography
November 2022
Radiology, Weill Cornell Medicine, New York, NY 10065, USA.
There is no noninvasive method to estimate lung shunting fraction (LSF) in patients with liver tumors undergoing Yttrium-90 (Y90) therapy. We propose to predict LSF from noninvasive dynamic contrast enhanced (DCE) MRI using perfusion quantification. Two perfusion quantification methods were used to process DCE MRI in 25 liver tumor patients: Kety's tracer kinetic modeling with a delay-fitted global arterial input function (AIF) and quantitative transport mapping (QTM) based on the inversion of transport equation using spatial deconvolution without AIF.
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