Work

Principal Process Analysis of dynamic GlucoCEST MRI data

Year: 2018

Type: preprint

Abstract: GlucoCEST is an MRI contrast enhancement technique sensitive to the concentration of sugar in the tissue. Because of a differencein metabolism, it is thought that tumors consume more sugar than normal tissue. However, glucose metabolism is complex and depends onmany processes, which are all important to understand the origin of the measured signal. To achieve this goal we apply here a process analysismethod to a deterministic system describing the metabolism of glucose in the tissue.

Source: arXiv (Cornell University)

DOI: 10.48550/arxiv.1804.04585

Authors: Casagranda, Stefano, Pizzolato, Marco, Torrealdea, Francisco, Golay, Xavier, Boutelier, Timothé

Institutions: Olea Medical (France), École Polytechnique Fédérale de Lausanne, University College London

Language: English

Topic: Advanced MRI Techniques and Applications

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

OpenAlex ID: W2783197306

Cites: 3

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Related to: 10