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We are concerned with the estimation of the exterior surface and interior summaries of tube-shaped anatomical structures. This interest is motivated by two distinct scientific goals, one dealing with the distribution of HIV microbicide in…

应用统计 · 统计学 2011-04-18 Jeff Goldsmith , Brian Caffo , Ciprian Crainiceanu , Daniel Reich , Yong Du , Craig Hendrix

The white matter of the brain is organised into axonal bundles that support long-range neural communication. Although diffusion MRI (dMRI) enables detailed mapping of these pathways through tractography, how white matter pathways directly…

神经元与认知 · 定量生物学 2026-02-24 Yifei Sun , James M. Shine , Robert D. Sanders , Robin F. H. Cash , Sharon L. Naismith , Fernando Calamante , Jinglei Lv

Shape measures have emerged as promising descriptors of white matter tractography, offering complementary insights into anatomical variability and associations with cognitive and clinical phenotypes. However, conventional methods for…

图像与视频处理 · 电气工程与系统科学 2025-10-22 Yui Lo , Yuqian Chen , Dongnan Liu , Leo Zekelman , Jarrett Rushmore , Yogesh Rathi , Nikos Makris , Alexandra J. Golby , Fan Zhang , Weidong Cai , Lauren J. O'Donnell

We study the behavior of very thin liquid films wetting homogeneous planar and spherical substrates. In order to describe a simple fluid at very small scales, we employ a classical density functional theory (DFT). Here, we model a fluid…

统计力学 · 物理学 2017-01-10 Andreas Nold

Axonal damage is the primary pathological correlate of long-term impairment in multiple sclerosis (MS). Previous work has demonstrated a strong, quantitative relationship between decrease in axial diffusivity and axonal damage. In the…

计算工程、金融与科学 · 计算机科学 2024-10-15 Nand Sharma

Diffusion Posterior Sampling (DPS) can be used in Computed Tomography (CT) reconstruction by leveraging diffusion-based generative models for unconditional image synthesis while matching the observations (data) of a CT scan. Of particular…

The goal of diffusion-weighted magnetic resonance imaging (DWI) is to infer the structural connectivity of an individual subject's brain in vivo. To statistically study the variability and differences between normal and abnormal brain…

神经元与认知 · 定量生物学 2023-03-06 Haocheng Dai , Martin Bauer , P. Thomas Fletcher , Sarang Joshi

Expansion of diffusion MRI (dMRI) both into the realm of strong gradients, and into accessible imaging with portable low-field devices, brings about the challenge of gradient nonlinearities. Spatial variations of the diffusion gradients…

Accurate quantification of the extent of lung pathological patterns (fibrosis, ground-glass opacity, emphysema, consolidation) is prerequisite for diagnosis and follow-up of interstitial lung diseases. However, segmentation is challenging…

图像与视频处理 · 电气工程与系统科学 2025-01-08 Rezkellah Noureddine Khiati , Pierre-Yves Brillet , Radu Ispas , Catalin Fetita

Diffusion-weighted MRI is the forerunner of the rapidly developed microstructural MRI aimed at in vivo evaluation of the cellular tissue architecture. This brief review focuses on the spatiotemporal scales of the microstructure that are…

医学物理 · 物理学 2020-08-14 Valerij G. Kiselev

We present a novel dual-encoded magnetization transfer (MT) and diffusion-weighted sequence and demonstrate its potential to resolve distinct properties of white matter fiber tracts at the sub-voxel level. The sequence was designed and…

Diffusion Magnetic Resonance Imaging (dMRI) plays a crucial role in the noninvasive investigation of tissue microstructural properties and structural connectivity in the \textit{in vivo} human brain. However, to effectively capture the…

计算机视觉与模式识别 · 计算机科学 2024-01-04 Jing Yang , Jian Cheng , Cheng Li , Wenxin Fan , Juan Zou , Ruoyou Wu , Shanshan Wang

Anisotropic Diffusion is widely used for noise reduction with simultaneous preservation of vascular structures in maximum intensity projected (MIP) angiograms. However, extension to minimum intensity projected (mIP) venograms in…

计算机视觉与模式识别 · 计算机科学 2015-01-15 P. K. Akshara , J. S. Paul

Connectivity information derived from diffusion-weighted magnetic resonance images~(DW-MRIs) plays an important role in studying human subcortical gray matter structures. However, due to the $O(N^2)$ complexity of computing the connectivity…

图像与视频处理 · 电气工程与系统科学 2023-02-21 Zhangxing Bian , Muhan Shao , Jiachen Zhuo , Rao P. Gullapalli , Aaron Carass , Jerry L. Prince

Biophysical modeling of diffusion MRI (dMRI) offers the exciting potential of bridging the gap between the macroscopic MRI resolution and microscopic cellular features, effectively turning the MRI scanner into a noninvasive in vivo…

Joint modeling of diffusion and relaxation has seen growing interest due to its potential to provide complementary information about tissue microstructure. For brain white matter, we designed an optimal diffusion-relaxometry MRI protocol…

Alzheimer's disease (AD) is a progressive neurodegenerative disorder in which pathological changes begin many years before the onset of clinical symptoms, making early detection essential for timely intervention. T1-weighted (T1w) Magnetic…

计算机视觉与模式识别 · 计算机科学 2026-01-21 Jason Qiu

The corticospinal tract (CST) is a critically important white matter fiber tract in the human brain that enables control of voluntary movements of the body. Diffusion MRI tractography is the only method that enables the study of the anatomy…

In-vivo examination of the physical connectivity of axonal projections through the white matter of the human brain is made possible by diffusion weighted magnetic resonance imaging (dMRI) Analysis of dMRI commonly considers derived scalar…

图像与视频处理 · 电气工程与系统科学 2019-12-03 Haraldur T. Hallgrimsson , Richika Sharan , Scott T. Grafton , Ambuj K. Singh

Diffusion MRI (dMRI) is an important neuroimaging technique with high acquisition costs. Deep learning approaches have been used to enhance dMRI and predict diffusion biomarkers through undersampled dMRI. To generate more comprehensive raw…

图像与视频处理 · 电气工程与系统科学 2024-07-11 Juanhua Zhang , Ruodan Yan , Alessandro Perelli , Xi Chen , Chao Li