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Functional connectivity (FC) derived from resting-state fMRI plays a critical role in personalized predictions such as age and cognitive performance. However, applying foundation models(FM) to fMRI data remains challenging due to its high…

Neurons and Cognition · Quantitative Biology 2025-08-26 Yanwen Wang , Xinglin Zhao , Yijin Song , Xiaobo Liu , Yanrong Hao , Rui Cao , Xin Wen

Atrial fibrillation (AF) is associated with an increased risk of dementia and cognitive decline, independent of strokes. Several mechanisms have been proposed to explain this association, but altered cerebral blood flow dynamics during AF…

Medical Physics · Physics 2016-06-24 Matteo Anselmino , Stefania Scarsoglio , Andrea Saglietto , Fiorenzo Gaita , Luca Ridolfi

Arterial spin labeling (ASL) perfusion MRI allows direct quantification of regional cerebral blood flow (CBF) without exogenous contrast, enabling noninvasive measurements that can be repeated without constraints imposed by contrast…

Early clinical assessment of Alzheimer's disease relies on behavior scores that measure a subject's language, memory, and cognitive skills. On the medical imaging side, functional magnetic resonance imaging has provided invaluable insights…

Signal Processing · Electrical Eng. & Systems 2026-04-14 Javier Salazar Cavazos , Maximillian Egan , Krisanne Litinas , Benjamin Hampstead , Scott Peltier

Motivation: In many fMRI studies, respiratory signals are often missing or of poor quality. Therefore, it could be highly beneficial to have a tool to extract respiratory variation (RV) waveforms directly from fMRI data without the need for…

Machine Learning · Computer Science 2024-05-02 Abdoljalil Addeh , Fernando Vega , Rebecca J. Williams , G. Bruce Pike , M. Ethan MacDonald

Coronary Artery Disease (CAD) is one of the most common forms of heart disease, which is caused by a buildup of atherosclerotic plaque (known as stenosis) in the coronary arteries, leading to insufficient supplement of blood, oxygen, and…

Computational Engineering, Finance, and Science · Computer Science 2024-09-06 Haizhou Yang , C. Alberto Figueroa , Krishna Garikipati

Resting state fMRI is an imaging modality which reveals brain activity localization through signal changes, in what is known as Resting State Networks (RSNs). This technique is gaining popularity in neurosurgical pre-planning to visualize…

Machine Learning · Computer Science 2022-09-22 Sejal Ghate , Alberto Santamaria-Pang , Ivan Tarapov , Haris I Sair , Craig K Jones

Brain midline shift (MLS) is one of the most critical factors to be considered for clinical diagnosis and treatment decision-making for intracranial hemorrhage. Existing computational methods on MLS quantification not only require intensive…

Computer Vision and Pattern Recognition · Computer Science 2023-01-03 Shizhan Gong , Cheng Chen , Yuqi Gong , Nga Yan Chan , Wenao Ma , Calvin Hoi-Kwan Mak , Jill Abrigo , Qi Dou

Arterial spin labeling (ASL) magnetic resonance imaging (MRI) is a powerful imaging technology that can measure cerebral blood flow (CBF) quantitatively. However, since only a small portion of blood is labeled compared to the whole tissue…

Image and Video Processing · Electrical Eng. & Systems 2020-09-15 Jianan Cui , Kuang Gong , Paul Han , Huafeng Liu , Quanzheng Li

Transcriptomics, regional cerebral blood flow (rCBF), and a spatial motor virtual reality task were integrated using mediation analysis in a novel demonstration of "imaging omics". Data collected in NCAA Division I football athletes cleared…

Recent development of quantitative myocardial blood flow (MBF) mapping allows direct evaluation of absolute myocardial perfusion, by computing pixel-wise flow maps. Clinical studies suggest quantitative evaluation would be more desirable…

Quantitative Methods · Quantitative Biology 2020-06-01 Hui Xue , Rhodri Davies , Louis AE Brown , Kristopher D Knott , Tushar Kotecha , Marianna Fontana , Sven Plein , James C Moon , Peter Kellman

Cerebrospinal fluid (CSF) plays a pivotal role in normal functioning of Brain. Intracranial compartments such as blood, brain and CSF are incompressible in nature. Therefore, if a volume imbalance in one of the aforenoted compartments is…

Numerical Analysis · Mathematics 2021-02-22 Muhammad Uzair-Ul-Haq , Ali Ahmed , Zartasha Mustansar , Arslan Shaukat , Lee Margetts , Asim Waris , Faizan Nadeem

The use of CT imaging is important for screening, diagnosis, therapy planning, and prognosis of lung cancers. Unfortunately, due to differences in imaging protocols and scanner models, CT images acquired by different means may show large…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Md Shifatul Ahsan Apurba , Md Selim , Jin Chen

To address many of the deficiencies in optical neuroimaging technologies such as poor spatial resolution, time-consuming reconstruction, low penetration depth, and contact-based measurement, a novel, noncontact, time-resolved laser speckle…

Perfusion imaging plays a crucial role in acute stroke diagnosis and treatment decision making. Current perfusion analysis relies on deconvolution of the measured signals, an operation that is mathematically ill-conditioned and requires…

Computer Vision and Pattern Recognition · Computer Science 2018-10-12 David Robben , Paul Suetens

Speckle contrast optical spectroscopy (SCOS) offers a non-invasive and cost-effective method for monitoring cerebral blood flow (CBF). However, extracting accurate CBF from SCOS necessitates precise noise pre-calibration. Errors from this…

Signal Processing · Electrical Eng. & Systems 2025-06-23 Ninghe Liu , Yu Xi Huang , Simon Mahler , Changhuei Yang

Computationally efficient and accurate simulations of the flow over axisymmetric bodies of revolution (ABR) has been an important desideratum for engineering design. In this article the flow field over an ABR is predicted using machine…

Fluid Dynamics · Physics 2021-11-16 J P Panda , H V Warrior

Collateral circulation results from specialized anastomotic channels which are capable of providing oxygenated blood to regions with compromised blood flow caused by ischemic injuries. The quality of collateral circulation has been…

Computer Vision and Pattern Recognition · Computer Science 2021-10-26 Giles Tetteh , Fernando Navarro , Johannes Paetzold , Jan Kirschke , Claus Zimmer , Bjoern H. Menze

Resting-state functional Arterial Spin Labeling (rs-fASL) in clinical daily practice and academic research stay discreet compared to resting-state BOLD. However, by giving direct access to cerebral blood flow maps, rs-fASL leads to…

Neurons and Cognition · Quantitative Biology 2018-11-29 Corouge Isabelle , Corentin Vallée , Pierre Maurel , Isabelle Corouge , Christian Barillot

Functional magnetic resonance imaging (fMRI) aims to locate activated regions in human brains when specific tasks are performed. The conventional tool for analyzing fMRI data applies some variant of the linear model, which is restrictive in…

Statistics Theory · Mathematics 2008-08-08 Chunming Zhang , Tao Yu