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White matter tract microstructure has been shown to influence neuropsychological scores of cognitive performance. However, prediction of these scores from white matter tract data has not been attempted. In this paper, we propose a…

Computer Vision and Pattern Recognition · Computer Science 2022-07-07 Yuqian Chen , Fan Zhang , Chaoyi Zhang , Tengfei Xue , Leo R. Zekelman , Jianzhong He , Yang Song , Nikos Makris , Yogesh Rathi , Alexandra J. Golby , Weidong Cai , Lauren J. O'Donnell

Perfusion-weighted magnetic resonance imaging (MRI) is an imaging technique that allows one to measure tissue perfusion in an organ of interest through the injection of an intravascular paramagnetic contrast agent (CA). Due to a preference…

Computer Vision and Pattern Recognition · Computer Science 2017-08-28 Cagdas Ulas , Christine Preibisch , Jonathan Sperl , Thomas Pyka , Jayashree Kalpathy-Cramer , Bjoern Menze

Tractography algorithms are used extensively to delineate white matter structures, by operating on the voxel-wise information generated through the application of diffusion tensor imaging (DTI) or other models to diffusion weighted (DW)…

Quantitative Methods · Quantitative Biology 2024-03-05 Richard G. Carson , Alexander Leemans

The state-of-the-art method for automatically segmenting white matter bundles in diffusion-weighted MRI is tractography in conjunction with streamline cluster selection. This process involves long chains of processing steps which are not…

Computer Vision and Pattern Recognition · Computer Science 2017-03-08 Jakob Wasserthal , Peter F. Neher , Fabian Isensee , Klaus H. Maier-Hein

Diffusion tensor imaging provides important information on tissue structure and orientation of fiber tracts in brain white matter in vivo. It results in diffusion tensors, which are $3\times3$ symmetric positive definite (SPD) matrices,…

Applications · Statistics 2013-04-17 Ying Yuan , Hongtu Zhu , Martin Styner , John H. Gilmore , J. S. Marron

Double diffusion encoding (DDE) magnetic resonance measurements of the water signal offers a unique ability to separate the effect of microscopic anisotropic diffusion in structural units of tissue from the overall macroscopic orientational…

Medical Physics · Physics 2020-12-04 Henrik Lundell , Chloé Najac , Marjolein Bulk , Hermien E. Kan , Andrew G. Webb , Itamar Ronen

This paper presents DDTracking, a novel deep generative framework for diffusion MRI tractography that formulates streamline propagation as a conditional denoising diffusion process. In DDTracking, we introduce a dual-pathway encoding…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Yijie Li , Wei Zhang , Xi Zhu , Ye Wu , Yogesh Rathi , Lauren J. O'Donnell , Fan Zhang

Diffusion Magnetic Resonance Imaging (dMRI) is one of the most important contemporary non-invasive modalities for probing tissue structure at the microscopic scale. The majority of dMRI techniques employ standard single diffusion encoding…

Neuroimaging measures of the brain's white matter connections can enable the prediction of non-imaging phenotypes, such as demographic and cognitive measures. Existing works have investigated traditional microstructure and connectivity…

Computer Vision and Pattern Recognition · Computer Science 2023-05-23 Wan Liu , Yuqian Chen , Chuyang Ye , Nikos Makris , Yogesh Rathi , Weidong Cai , Fan Zhang , Lauren J. O'Donnell

In this work, we explore the various Brain Neuron tracking techniques, which is one of the most significant applications of Diffusion Tensor Imaging. Tractography provides us with a non-invasive method to analyze underlying tissue…

Computer Vision and Pattern Recognition · Computer Science 2018-06-12 Nandakishore Puttashamachar , Ulas Bagci

Cross-term spatiotemporal encoding (xSPEN) is a recently introduced imaging approach delivering single-scan 2D NMR images with unprecedented resilience to field inhomogeneities. The method relies on performing a pre-acquisition encoding and…

Medical Physics · Physics 2017-08-25 Eddy Solomon , Gilad Liberman , Zhiyong Zhang , Lucio Frydman

Learning-based approaches, especially those based on deep networks, have enabled high-quality estimation of tissue microstructure from low-quality diffusion magnetic resonance imaging (dMRI) scans, which are acquired with a limited number…

Image and Video Processing · Electrical Eng. & Systems 2019-10-25 Yu Qin , Yuxing Li , Zhiwen Liu , Chuyang Ye

Diffusion magnetic resonance imaging (dMRI) is a crucial non-invasive technique for exploring the microstructure of the living human brain. Traditional hand-crafted and model-based tissue microstructure reconstruction methods often require…

Image and Video Processing · Electrical Eng. & Systems 2025-02-26 Xinrui Ma , Jian Cheng , Wenxin Fan , Ruoyou Wu , Yongquan Ye , Shanshan Wang

Tissue microstructure has significance as a biomarker, however its accurate inference with diffusion magnetic resonance (MR) is still an open problem. With few exceptions, diffusion weighted (DW) MR models either process diffusion MR data…

Medical Physics · Physics 2019-08-20 Alpay Özcan

In clinical practice, single-radiotracer positron emission tomography (PET) is commonly used for imaging. Although multi-tracer PET imaging can provide supplementary information of radiotracers that are sensitive to physiological function…

Image and Video Processing · Electrical Eng. & Systems 2025-06-23 Bin Huang , Feihong Xu , Xinchong Shi , Shan Huang , Binxuan Li , Fei Li , Qiegen Liu

Frame rate is a crucial consideration in cardiac ultrasound imaging and 3D sonography. Several methods have been proposed in the medical ultrasound literature aiming at accelerating the image acquisition. In this paper, we consider one such…

Computer Vision and Pattern Recognition · Computer Science 2018-08-24 Sanketh Vedula , Ortal Senouf , Grigoriy Zurakhov , Alex M. Bronstein , Michael Zibulevsky , Oleg Michailovich , Dan Adam , Diana Gaitini

Inferior soft-tissue contrast resolution is a major limitation of current CT scanners. The aim of the study is to improve the contrast resolution of CT scanners using dual-energy acquisition. Based on dual-energy material decomposition, the…

Medical Physics · Physics 2016-11-15 Wei Zhao , Lu Wan , Bo Zhang , Qiude Zhang , Tianye Niu

The connectivity and structural integrity of the white matter of the brain is nowadays known to be implicated into a wide range of brain-related disorders. However, it was not before the advent of diffusion Magnetic Resonance Imaging (dMRI)…

Computer Vision and Pattern Recognition · Computer Science 2014-01-27 Q. Zhou , O. Michailovich , Y. Rathi

Double diffusion encoding (DDE) makes diffusion MRI sensitive to a wide range of microstructural features, and the acquired data can be analysed using different approaches. Correlation tensor imaging (CTI) uses DDE to resolve three…

Medical Physics · Physics 2024-12-05 Arthur Chakwizira , Filip Szczepankiewicz , Markus Nilsson

Two-dimensional mass spectrometry (2D MS) is a method for tandem mass spectrometry that enables the correlation between precursor and fragment ions without the need for ion isolation. On a Fourier transform ion cyclotron resonance mass…

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