Total Mapping Toolbox (TOMATO): an open source library for cardiac magnetic resonance parametric mapping

Total Mapping Toolbox (TOMATO): an open source library for cardiac magnetic resonance parametric mapping

TOMATO (Total Mapping Toolbox) is a C++ library for the calculation of parametric maps in cardiac magnetic resonance imaging (MRI). As an open source project, TOMATO allows transparent and standardised cardiac longitudinal relaxation time (T1) mapping in clinical applications. With C++ implementatio...

Full description

Bibliographic Details
Main Authors:	Werys, K, Dragonu, I, Zhang, Q, Popescu, I, Hann, E, Puchta, H, Kubik, A, Polat, D, Wu, C, Moon, NO, Barutcu, A, Ferreira, VM, Piechnik, SK
Format:	Journal article
Language:	English
Published:	Elsevier 2019

Similar Items

Total Mapping Toolbox (TOMATO): An open source library for cardiac magnetic resonance parametric mapping
by: Konrad Werys, et al.
Published: (2020-01-01)

Standardized image post-processing of cardiovascular magnetic resonance T1-mapping reduces variability and improves accuracy and consistency in myocardial tissue characterization
by: Carapella, V, et al.
Published: (2019)

Deep neural network ensemble for on-the-fly quality control-driven segmentation of cardiac MRI T1 mapping
by: Hann, E, et al.
Published: (2021)

MOCOnet: robust motion correction of cardiovascular magnetic resonance T1 mapping using convolutional neural networks
by: Gonzales, RA, et al.
Published: (2021)

Fast and robust motion correction of cardiovascular magnetic resonance T1-mapping using data-driven convolutional neural networks for generalisability
by: Gonzales, RA, et al.
Published: (2022)

Cardiac stress T1-mapping response and extracellular volume stability of MOLLI-based T1-mapping methods
by: Burrage, MK, et al.
Published: (2021)

Quality control-driven image segmentation towards reliable automatic image analysis in large-scale cardiovascular magnetic resonance aortic cine imaging
by: Hann, E, et al.
Published: (2019)

Toward replacing late gadolinium enhancement with artificial intelligence virtual native enhancement for gadolinium-free cardiovascular magnetic resonance tissue characterization in hypertrophic cardiomyopathy
by: Zhang, Q, et al.
Published: (2021)

Ensemble of deep convolutional neural networks with Monte Carlo dropout sampling for automated image segmentation quality control and robust deep learning using small datasets
by: Hann, E, et al.
Published: (2021)

A statistical parametric mapping toolbox used for voxel-wise analysis of FDG-PET images of rat brain.
by: Binbin Nie, et al.
Published: (2014-01-01)

A Seagrass Mapping Toolbox for South Pacific Environments
by: Julie Bremner, et al.
Published: (2023-02-01)

Evamapper: A Novel Matlab Toolbox For Evapotranspiration Mapping
by: Ü. H. Atasever, et al.
Published: (2013-10-01)

MOCOnet: Robust Motion Correction of Cardiovascular Magnetic Resonance T1 Mapping Using Convolutional Neural Networks
by: Ricardo A. Gonzales, et al.
Published: (2021-11-01)

Deep learning for automated insertion point annotation of CMR T1 maps
by: Gonzales, RA, et al.
Published: (2024)

The EnMAP-Box—A Toolbox and Application Programming Interface for EnMAP Data Processing
by: Sebastian van der Linden, et al.
Published: (2015-09-01)

COSMAS: A lightweight toolbox for cardiac optical mapping analysis
by: Tomek, J, et al.
Published: (2021)

COSMAS: a lightweight toolbox for cardiac optical mapping analysis
by: Jakub Tomek, et al.
Published: (2021-04-01)

Pitfalls of blinded T1-map image analysis by human operator and impact on measured stress T1 responses
by: Masi, A, et al.
Published: (2019)

Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion
by: Hess, AT, et al.
Published: (2021)

MAPPING STATISTICAL DATA: POSSIBILITIES OF EUROSTAT-MAP.JS LIBRARY
by: A. Miletić, et al.
Published: (2023-12-01)

The ALICE Library Instruction Toolbox: An Exercise in Collaboration
by: Heather L. May, et al.
Published: (2002-10-01)

UASea: A Data Acquisition Toolbox for Improving Marine Habitat Mapping
by: Michaela Doukari, et al.
Published: (2021-08-01)

DNNBrain: A Unifying Toolbox for Mapping Deep Neural Networks and Brains
by: Xiayu Chen, et al.
Published: (2020-11-01)

BANSHEE–A MATLAB toolbox for Non-Parametric Bayesian Networks
by: Dominik Paprotny, et al.
Published: (2020-07-01)

Data for: Accelerated calibrationless parallel transmit mapping using joint transmit and receive low-rank tensor completion
by: Hess, A T, et al.
Published: (2020)

Public Libraries as a Social Culture Institution: A Situation Map of Çankırı Public Libraries in Terms of Facilities and Services
by: Coşkun POLAT, et al.
Published: (2018-10-01)

Seeing beyond the obvious: subclinical cardiac sarcoidosis revealed by cardiovascular magnetic resonance mapping
by: Ferreira, V, et al.
Published: (2016)

The Effect of Blood Composition on T1 Mapping
by: Rosmini, S, et al.
Published: (2019)

Parametric Multispectral Mappings and Comparative Genomics
by: Ivan V. Stepanyan, et al.
Published: (2022-11-01)

Parametric models analysed with linear maps
by: Hermann G. Matthies, et al.
Published: (2020-10-01)

Map it @ WSU: Development of a Library Mapping System for Large Academic Libraries
by: Paul Gallagher
Published: (2010-06-01)

S-derivative of perturbed mapping and solution mapping for parametric vector equilibrium problems
by: Xicai Deng, et al.
Published: (2021-07-01)

CVRmap—a complete cerebrovascular reactivity mapping post-processing BIDS toolbox
by: A. Rovai, et al.
Published: (2024-03-01)

ОТРИМАННЯ ТА ОБРОБКА ГЕОПРОСТОРОВИХ ДАНИХ ЗА ДОМОПОГОЮ MATLAB MAPPING TOOLBOX
by: Banovsha Mekhdiyeva, et al.
Published: (2019-12-01)

Quality control-driven framework for reliable automated segmentation of cardiac magnetic resonance LGE and VNE images
by: Gonzales, RA, et al.
Published: (2023)

Quality control-driven deep ensemble for accountable automated segmentation of cardiac magnetic resonance LGE and VNE images
by: Gonzales, RA, et al.
Published: (2023)

Cardiovascular Magnetic Resonance Parametric Mapping Techniques for the Assessment of Chronic Coronary Syndromes
by: Maria Anna Bazmpani, et al.
Published: (2022-12-01)

SPATIAL DATA MINING TOOLBOX FOR MAPPING SUITABILITY OF LANDFILL SITES USING NEURAL NETWORKS
by: Abujayyab, Sohaib K. M., et al.
Published: (2016)

PyTrack: A Map-Matching-Based Python Toolbox for Vehicle Trajectory Reconstruction
by: Matteo Tortora, et al.
Published: (2022-01-01)

SPATIAL DATA MINING TOOLBOX FOR MAPPING SUITABILITY OF LANDFILL SITES USING NEURAL NETWORKS
by: S. K. M. Abujayyab, et al.
Published: (2016-09-01)