Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/16190
Title: A novel approach to measure local cerebral haematocrit using MRI
Austin Authors: Calamante, Fernando;Ahlgren, André;van Osch, Matthias JP;Knutsson, Linda
Affiliation: Austin Health, Heidelberg, Victoria, Australia
The Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australia
Florey Department of Neuroscience and Mental Health, The University of Melbourne, Parkville, Victoria, Australia
Department of Medicine, Austin Health and Northern Health, The University of Melbourne, Australia
Department of Medical Radiation Physics, Lund University, Lund, Sweden
C.J. Gorter Center for high field MRI, Department of Radiology, LUMC, Leiden, Netherlands
Issue Date: Apr-2016
metadata.dc.date: 2015-09-30
Publication information: Journal of Cerebral Blood Flow & Metabolism 2016; 36(4): 768-780
Abstract: The percentage blood volume occupied by red blood cells is known as haematocrit. While it is straightforward to measure haematocrit in large arteries, it is very challenging to do it in microvasculature (cerebral haematocrit). Currently, this can only be done using invasive methods (e.g. PET), but their use is very limited. Local variations in cerebral haematocrit have been reported in various brain abnormalities (e.g. stroke, tumours). We propose a new approach to image cerebral haematocrit using MRI, which relies on combining data from two measurements: one that provideshaematocrit-weightedand other onehaematocrit-independentvalues of the same parameter, thus providing an easily obtainable measurement of this important physiological parameter. Four different implementations are described, with one illustrated as proof-of-concept using data from healthy subjects. Cerebral haematocrit measurements were found to be in general agreement with literature values from invasive techniques (e.g. cerebral/arterial ratios of 0.88 and 0.86 for sub-cortical and cortical regions), and showed good test-retest reproducibility (e.g. coefficient-of-variation: 15% and 13% for those regions). The method was also able to detect statistically significant haematocrit gender differences in cortical regions (p < 0.01). The proposed MRI technique should have important applications in various neurological diseases, such as in stroke and brain tumours.
URI: http://ahro.austin.org.au/austinjspui/handle/1/16190
DOI: 10.1177/0271678X15606143
PubMed URL: https://pubmed.ncbi.nlm.nih.gov/26661152
Type: Journal Article
Subjects: Haematocrit
Arterial spin labelling
Cerebral blood flow
Cerebral blood volume
Perfusion MRI
Appears in Collections:Journal articles

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