25 papers · ranked by Valyu relevance
Yaël Balbastre, Mikael Brudfors, Michela Azzarito, Christian Lambert + 2 more
Title: Highlights 1. • Model-based estimation of quantitative multi-parameter maps. 2. • Maximum-likelihood or Maximum a posteriori solutions. 3. • Embedded denoising using a joint total-variation prior. 4. • Stable second-order solver using a novel approximate Hessian.
Anastasia Fotaki, Carlos Velasco, Claudia Prieto, René M. Botnar
Cardiometabolic disease refers to the spectrum of chronic conditions that include diabetes, hypertension, atheromatosis, non-alcoholic fatty liver disease, and their long-term impact on cardiovascular health. Histological studies have confirmed several modifications at the tissue level in cardiometabolic disease.…
Mohammad Salehi, Parviz Ghadimi, Ali Bakhshandeh Rostami
The central problem of strip theory is the calculation of potential flow around 2D sections. One particular method of solutions for this problem is conformal mapping of the body section to the unit circle over which solution of potential flow is available. Here, a new multi-parameter conformal mapping method is…
Yanwen Huang, Lok Ming Lui, Gary P. T. Choi
Many imaging problems require computing spatial transformations induced by spatially varying intensity, feature, or density fields. Canonical examples include distortion correction, deformable image registration, atlas-based segmentation, and deformation-driven image analysis. These tasks can be formulated as geometric…
Guoyan Lao, Ruimin Feng, Haikun Qi, Zhenfeng Lv + 4 more
3D Multiparametric Quantitative MRI Authors: ['Guoyan Lao' 'Ruimin Feng' 'Haikun Qi' 'Zhenfeng Lv' 'Qiangqiang Liu' 'Chunlei Liu' 'Yuyao Zhang' 'Hongjiang Wei'] Abstract—Quantitative magnetic resonance imaging (qMRI) offers tissue-specific physical parameters with significant potential for neuroscience research and…
Joshua M. Hess, Iulian Ilieş, Denis Schapiro, John J. Iskra + 10 more
High-parameter tissue imaging enables detailed molecular analysis of single cells in their spatial environment. However, the comprehensive characterization and mapping of tissue states through multimodal imaging across different physiological and pathological conditions requires data integration across multiple imaging…
Fuyixue Wang, Zijing Dong, Timothy G. Reese, Bruce Rosen + 2 more
Multi-parametric quantitative MRI has shown great potential to improve the sensitivity and specificity of clinical diagnosis and to enhance our understanding of complex brain processes, but suffers from long scan time especially at high spatial resolution. To address this long-standing challenge, we introduce a novel…
Charlotta Jarkman, Carl-Johan Carlhäll, Markus Henningsson
The Multimapping technique was recently proposed for simultaneous myocardial T_1_ and T_2_ mapping. In this study we evaluate its correlation with clinical reference mapping techniques in patients with a range of cardiovascular diseases (CVD), compare image quality and inter- and intra-observer repeatability.…
Jiazheng Wang, Shuhui Cai, Zhiyong Zhang, Congbo Cai
Multiparametric MRI has been extensively studied in prostate imaging, showing diagnostic benefits with high-quality evidence. In 2019, the PI-RADS Steering Committee confirmed that multiparametric MRI helps to distinguish patients with clinically insignificant cancer from those with life-threatening cancer, and the…
Muhammed Khawatmi, Yoann Steux, Sadam Zourob, Heba Sailem
Intuitive visualisation of quantitative microscopy data is crucial for interpreting and discovering new patterns in complex bioimage data. Existing visualisation approaches, such as bar charts, scatter plots and heat maps, do not accommodate the complexity of visual information present in microscopy data. Here we…
Rongchao Shi, Hao Wang, Hui Xu, Min Li + 6 more
Objectives Renal biopsy has certain limitations for diagnosing membranous nephropathy (MN). The aim is to explore the value of MRI for diagnosing MN. Materials and methods MN patients were divided into two subgroups based on estimated glomerular filtration rate, including the mild group and moderate to severe group.…
Daniele Mortari, David Anas
This work presents an initial analysis of using bijective mappings to extend the Theory of Functional Connections to non-rectangular two-dimensional domains. Specifically, this manuscript proposes three different mappings techniques: a) complex mapping, b) projection mapping, and c) polynomial mapping. In that respect…
Ross D. Markello, Justine Y. Hansen, Zhen-Qi Liu, Vincent Bazinet + 9 more
Imaging technologies are increasingly used to generate high-resolution reference maps of brain structure and function. Modern scientific discovery relies on making comparisons between new maps (e.g. task activations, group structural differences) and these reference maps. Although recent data sharing initiatives have…
Maximilian Matthé
This paper presents evomap, a Python package for dynamic mapping. Mapping methods are widely used across disciplines to visualize relationships among objects as spatial representations, or maps. However, most existing statistical software supports only static mapping, which captures objects' relationships at a single…
David P. Crewther, Shaun A. S. Seixas, Sheila G. Crewther
While multifocal electroretinography has become a standard ophthalmological technique, its use in cortical neuroimaging has been lesser. 32 presented the first exploration of the multifocal visual mapping methodology with fMRI. This commentary confirms the utility of this method, but also presents empirical results…
Billur Barshan
An objective error criterion is proposed for evaluating the accuracy of maps of unknown environments acquired by making range measurements with different sensing modalities and processing them with different techniques. The criterion can also be used for the assessment of goodness of fit of curves or shapes fitted to…
Thomas Webster, Verónica Vieira, Janice Weinberg, Ann Aschengrau
Background Mapping spatial distributions of disease occurrence and risk can serve as a useful tool for identifying exposures of public health concern. Disease registry data are often mapped by town or county of diagnosis and contain limited data on covariates. These maps often possess poor spatial resolution, the…
Benjamin Ries, Irfan Alibay, David W H Swenson, Hannah M Baumann + 3 more
Relative binding free energy (RBFE) calculations have emerged as a powerful tool supporting ligand optimization in drug discovery. Despite many successes, the use of RBFEs can often be limited by automation problems, in particular the setup of such calculations. Atom mapping algorithms are an essential component in…
Jianxiao Wu, Gia H. Ngo, Douglas Greve, Jingwei Li + 4 more
The results of most neuroimaging studies are reported in volumetric (e.g., MNI152) or surface (e.g., fsaverage) coordinate systems. Accurate mappings between volumetric and surface coordinate systems can facilitate many applications, such as projecting fMRI group analyses from MNI152/Colin27 to fsaverage for…
Authors not listed
Chemical reactions are regarded as transformations of chemical structures, and the question of which atoms in the reactants correspond to which atoms in the products has attracted chemists for a long time. Atom-to-atom mapping (AAM) is a procedure that establishes such correspondence(s) between the atoms of reactants…
Daniele Mortari, David Arnas
This work presents an initial analysis of using bijective mappings to extend the Theory of Functional Connections to non-rectangular two-dimensional domains. Specifically, this manuscript proposes three different mappings techniques: (a) complex mapping, (b) the projection mapping, and (c) polynomial mapping. In that…
Authors not listed
The growing number and size of DNA-encoded libraries (DELs), together with the vast space of possible DEL designs, demand interpretable and scalable criteria for selecting which libraries to construct and screen against a given target. An ideal target-focused DEL shows both strong similarity with an active reference…
Hiroshi Isshiki, Daisuke Kitazawa
The authors have discussed the method and merit of introducing the curvilinear coordinates into numerical analysis and have shown some numerical examples. However, they used analytical functions for the mappings in the examples and didn't mention how to generate a mapping numerically between the physical and mapped…
Markus Orsi, Daniel Probst, Philippe Schwaller, Jean-Louis Reymond
Chemical space maps help visualize similarities within molecular sets. However, there are many different molecular similarity measures resulting in a confusing number of possible comparisons. To overcome this limitation, we exploit the fact that tools designed for reaction informatics also work for alchemical processes…
Duncan Bossion, Sutirtha Chowdhury, Pengfei Huo
We present the rigorous theoretical framework of the generalized spin mapping representation for non- adiabatic dynamics. This formalism is based on the generators of the su(N) Lie algebra to represent N discrete electronic states, thus preserving the size of the original Hilbert space in the state representation. The…