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Single-shot gradient recalled echo planar imaging (EPI) is the primary tool for functional magnetic resonance imaging (fMRI). The image often suffers from signal drop near the air-tissue interface, such as the amygdala and regions of the…

Medical Physics · Physics 2013-07-17 Hu Cheng , Srikanth Padmala , Rena Fukunaga

Recent developments in cardiovascular modelling allow us to simulate blood flow in an entire human body. Such model can also be used to create databases of virtual subjects, with sizes limited only by computational resources. In this work,…

Medical Physics · Physics 2020-07-01 Janne M. J. Huttunen , Leo Kärkkäinen , Harri Lindholm

Automatic methods for measuring normalized regional brain volumes from MRI data are a key tool to help in the objective diagnostic and follow-up of many neurological diseases. To estimate such regional brain volumes, the intracranial cavity…

This study proposes a novel, contrast-free Magnetic Resonance Fingerprinting (MRF) method using balanced Steady-State Free Precession (bSSFP) sequences for the quantification of cerebral blood volume (CBV), vessel radius (R), and…

Full Waveform Inversion (FWI) is a promising technique for achieving high-resolution imaging in medical ultrasound. However, conventional FWI methods suffer from issues related to computational efficiency, dependence on initial models, and…

Medical Physics · Physics 2025-10-15 Qiang Li , Heyu Ma , Chengcheng Liu , Dean Ta

Recent randomised clinical trials have shown that patients with ischaemic stroke {due to occlusion of a large intracranial blood vessel} benefit from endovascular thrombectomy. However, predicting outcome of treatment in an individual…

Image and Video Processing · Electrical Eng. & Systems 2024-12-09 Zeynel A. Samak , Philip Clatworthy , Majid Mirmehdi

Myocardial infarction (MI) is the leading cause of mortality in the world that occurs due to a blockage of the coronary arteries feeding the myocardium. An early diagnosis of MI and its localization can mitigate the extent of myocardial…

Image and Video Processing · Electrical Eng. & Systems 2025-01-27 Aysen Degerli , Serkan Kiranyaz , Tahir Hamid , Rashid Mazhar , Moncef Gabbouj

The performance of a wavelet-based optical flow velocimetry (wOFV) algorithm to extract high accuracy and high resolution velocity fields from particle images in wall-bounded turbulent flows is assessed. wOFV is first evaluated using…

Fluid Dynamics · Physics 2023-10-09 Alexander Nicolas , Florian Zentgraf , Mark Linne , Andreas Dreizler , Brian Peterson

Interaction Vertex Imaging (IVI) is used for range monitoring (RM) in carbon ion radiotherapy. The purpose of RM is to measure the Bragg peak (BP) position for each contributing beam, and detect any changes. Currently, there is no consensus…

Mild traumatic brain injury (mTBI) is a prevalent condition that remains difficult to diagnose in its early stages. Oculomotor dysfunction is a well-established marker of mTBI, motivating the development of portable tools that capture both…

Signal Processing · Electrical Eng. & Systems 2026-05-15 Shantanu Sarkar , Sai Shashank Gandavarapu , Jeff Feng , Saurabh Prasad , Reza Khanbabaie , Jose L. Contreras-Vidal

Democratizing biomarker testing at the point-of-care requires innovations that match laboratory-grade sensitivity and precision in an accessible format. Here, we demonstrate high-sensitivity detection of cardiac troponin I (cTnI) through…

Flow fluctuations have recently emerged as a promising hemodynamic metric for understanding the rupture risk of intracranial aneurysms. Several investigations have reported in the literature corresponding flow instabilities using…

Fluid Dynamics · Physics 2023-06-05 Feng Huang , Seyed Ali Hosseini , Gabor Janiga , Dominique Thévenin

In nuclear imaging, limited resolution causes partial volume effects (PVEs) that affect image sharpness and quantitative accuracy. Partial volume correction (PVC) methods incorporating high-resolution anatomical information from CT or MRI…

Image and Video Processing · Electrical Eng. & Systems 2022-12-06 Huidong Xie , Zhao Liu , Luyao Shi , Kathleen Greco , Xiongchao Chen , Bo Zhou , Attila Feher , John C. Stendahl , Nabil Boutagy , Tassos C. Kyriakides , Ge Wang , Albert J. Sinusas , Chi Liu

To shorten the door-to-puncture time for better treating patients with acute ischemic stroke, it is highly desired to obtain quantitative cerebral perfusion images using C-arm cone-beam computed tomography (CBCT) equipped in the…

Image and Video Processing · Electrical Eng. & Systems 2024-12-30 Haotian Zhao , Ruifeng Chen , Jing Yan , Juan Feng , Jun Xiang , Yang Chen , Dong Liang , Yinsheng Li

The purpose of this study is to present and compare three denoising diffusion probabilistic models (DDPMs) that generate 3D $T_1$-weighted MRI human brain images. Three DDPMs were trained using 80,675 image volumes from 42,406 subjects…

Image and Video Processing · Electrical Eng. & Systems 2025-11-03 Samuel W. Remedios , Aaron Carass , Jerry L. Prince , Blake E. Dewey

Segmentation of medical images is a fundamental task with numerous applications. While MRI, CT, and PET modalities have significantly benefited from deep learning segmentation techniques, more recent modalities, like functional ultrasound…

Image and Video Processing · Electrical Eng. & Systems 2025-07-24 Hana Sebia , Thomas Guyet , Mickaël Pereira , Marco Valdebenito , Hugues Berry , Benjamin Vidal

Diffuse correlation spectroscopy (DCS) analyzes the autocorrelation function of photons scattered by red blood cells, enabling non-invasive, continuous measurement of deep tissue blood flow at the bedside. Multi-layer DCS models (two- and…

Medical research suggests that the anterior-posterior (AP)-diameter of the inferior vena cava (IVC) and its associated temporal variation as imaged by bedside ultrasound is useful in guiding fluid resuscitation of the critically-ill…

Computer Vision and Pattern Recognition · Computer Science 2018-08-10 Ebrahim Karami , Mohamed Shehata , Andrew Smith

Background: Quantitative stress perfusion cardiovascular magnetic resonance (CMR) is a powerful tool for assessing myocardial ischemia. Motion correction is essential for accurate pixel-wise mapping but traditional registration-based…

Computer Vision and Pattern Recognition · Computer Science 2025-10-02 Noortje I. P. Schueler , Nathan C. K. Wong , Richard J. Crawley , Josien P. W. Pluim , Amedeo Chiribiri , Cian M. Scannell

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
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