Cumulant expansion framework for internal gradient distributions tensors

Magnetic resonance imaging is a powerful, non invasive tool for medical diagnosis. The low sensitivity for detecting the nuclear spin signals, typically limits the image resolution to several tens of micrometers in preclinical systems and millimeters in clinical scanners. Other sources of informatio...

Full description

Bibliographic Details
Main Authors: Leonardo A. Pedraza Pérez, Gonzalo A. Álvarez
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Journal of Magnetic Resonance Open
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666441023000444
_version_ 1797394787449438208
author Leonardo A. Pedraza Pérez
Gonzalo A. Álvarez
author_facet Leonardo A. Pedraza Pérez
Gonzalo A. Álvarez
author_sort Leonardo A. Pedraza Pérez
collection DOAJ
description Magnetic resonance imaging is a powerful, non invasive tool for medical diagnosis. The low sensitivity for detecting the nuclear spin signals, typically limits the image resolution to several tens of micrometers in preclinical systems and millimeters in clinical scanners. Other sources of information, derived from diffusion processes of intrinsic molecules such as water in the tissues, allow getting morphological information at micrometric and submicrometric scales as potential biomarkers of several pathologies. Here we consider extracting this morphological information by probing the distribution of internal magnetic field gradients induced by the heterogeneous magnetic susceptibility of the medium. We use a cumulant expansion to derive the dephasing on the spin signal induced by the molecules that explore these internal gradients while diffusing. Based on the cumulant expansion, we define internal gradient distributions tensors (IGDT) and propose modulating gradient spin echo sequences to probe them. These IGDT contain microstructural morphological information that characterize porous media and biological tissues. We evaluate the IGDT effects on the magnetization decay with typical conditions of brain tissue and show that their effects can be experimentally observed. Our results thus provide a framework for exploiting IGDT as quantitative diagnostic tools.
first_indexed 2024-03-09T00:24:46Z
format Article
id doaj.art-ed7e0ee972524787b50dae7599d5f5ac
institution Directory Open Access Journal
issn 2666-4410
language English
last_indexed 2024-03-09T00:24:46Z
publishDate 2023-12-01
publisher Elsevier
record_format Article
series Journal of Magnetic Resonance Open
spelling doaj.art-ed7e0ee972524787b50dae7599d5f5ac2023-12-12T04:36:38ZengElsevierJournal of Magnetic Resonance Open2666-44102023-12-0116100136Cumulant expansion framework for internal gradient distributions tensorsLeonardo A. Pedraza Pérez0Gonzalo A. Álvarez1Instituto Balseiro, CNEA, Universidad Nacional de Cuyo, S. C. de Bariloche, 8400, Argentina; Centro Atómico Bariloche, CNEA, S. C. de Bariloche, 8400, ArgentinaInstituto Balseiro, CNEA, Universidad Nacional de Cuyo, S. C. de Bariloche, 8400, Argentina; Centro Atómico Bariloche, CONICET, CNEA, S. C. de Bariloche, 8400, Argentina; Instituto de Nanociencia y Nanotecnologia, CNEA, CONICET, S. C. de Bariloche, 8400, Argentina; Corresponding author at: Centro Atómico Bariloche, CONICET, CNEA, S. C. de Bariloche, 8400, Argentina.Magnetic resonance imaging is a powerful, non invasive tool for medical diagnosis. The low sensitivity for detecting the nuclear spin signals, typically limits the image resolution to several tens of micrometers in preclinical systems and millimeters in clinical scanners. Other sources of information, derived from diffusion processes of intrinsic molecules such as water in the tissues, allow getting morphological information at micrometric and submicrometric scales as potential biomarkers of several pathologies. Here we consider extracting this morphological information by probing the distribution of internal magnetic field gradients induced by the heterogeneous magnetic susceptibility of the medium. We use a cumulant expansion to derive the dephasing on the spin signal induced by the molecules that explore these internal gradients while diffusing. Based on the cumulant expansion, we define internal gradient distributions tensors (IGDT) and propose modulating gradient spin echo sequences to probe them. These IGDT contain microstructural morphological information that characterize porous media and biological tissues. We evaluate the IGDT effects on the magnetization decay with typical conditions of brain tissue and show that their effects can be experimentally observed. Our results thus provide a framework for exploiting IGDT as quantitative diagnostic tools.http://www.sciencedirect.com/science/article/pii/S2666441023000444Internal magnetic field gradientsDiffusion-weighted imagingSusceptibility-weighted imagingTissue microstructurePorous media
spellingShingle Leonardo A. Pedraza Pérez
Gonzalo A. Álvarez
Cumulant expansion framework for internal gradient distributions tensors
Journal of Magnetic Resonance Open
Internal magnetic field gradients
Diffusion-weighted imaging
Susceptibility-weighted imaging
Tissue microstructure
Porous media
title Cumulant expansion framework for internal gradient distributions tensors
title_full Cumulant expansion framework for internal gradient distributions tensors
title_fullStr Cumulant expansion framework for internal gradient distributions tensors
title_full_unstemmed Cumulant expansion framework for internal gradient distributions tensors
title_short Cumulant expansion framework for internal gradient distributions tensors
title_sort cumulant expansion framework for internal gradient distributions tensors
topic Internal magnetic field gradients
Diffusion-weighted imaging
Susceptibility-weighted imaging
Tissue microstructure
Porous media
url http://www.sciencedirect.com/science/article/pii/S2666441023000444
work_keys_str_mv AT leonardoapedrazaperez cumulantexpansionframeworkforinternalgradientdistributionstensors
AT gonzaloaalvarez cumulantexpansionframeworkforinternalgradientdistributionstensors