NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data

27Citations
Citations of this article
73Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

Multi-modal, multi-parametric Magnetic Resonance (MR) Imaging is becoming an increasingly sophisticated tool for neuroimaging. The relationships between parameters estimated from different individual MR modalities have the potential to transform our understanding of brain function, structure, development and disease. This article describes a new software package for such multi-contrast Magnetic Resonance Imaging that provides a unified model-fitting framework. We describe model-fitting functionality for Arterial Spin Labeled MRI, T1 Relaxometry, T2 relaxometry and Diffusion Weighted imaging, providing command line documentation to generate the figures in the manuscript. Software and data (using the nifti file format) used in this article are simultaneously provided for download. We also present some extended applications of the joint model fitting framework applied to diffusion weighted imaging and T2 relaxometry, in order to both improve parameter estimation in these models and generate new parameters that link different MR modalities. NiftyFit is intended as a clear and open-source educational release so that the user may adapt and develop their own functionality as they require.

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Melbourne, A., Toussaint, N., Owen, D., Simpson, I., Anthopoulos, T., De Vita, E., … Ourselin, S. (2016). NiftyFit: a Software Package for Multi-parametric Model-Fitting of 4D Magnetic Resonance Imaging Data. Neuroinformatics, 14(3), 319–337. https://doi.org/10.1007/s12021-016-9297-6

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 33

54%

Researcher 20

33%

Professor / Associate Prof. 4

7%

Lecturer / Post doc 4

7%

Readers' Discipline

Tooltip

Neuroscience 14

35%

Physics and Astronomy 11

28%

Medicine and Dentistry 9

23%

Engineering 6

15%

Save time finding and organizing research with Mendeley

Sign up for free