Journal
FRONTIERS IN VETERINARY SCIENCE
Volume 9, Issue -, Pages -Publisher
FRONTIERS MEDIA SA
DOI: 10.3389/fvets.2022.802272
Keywords
magnetic resonance; relaxometry; low field scanners; intracerebral hemorrhage; hierarchical clustering; receiver operating curve analysis
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In this study, a T1 and T2-based relaxometry approach was developed to characterize subtle brain lesions obtained with autologous blood injections in rabbits. The approach involved a semi-automatic hierarchical classification of different regions based on their relaxometry properties. The study utilized a low-field scanner commonly found in veterinary clinics. The proposed classifier demonstrated moderate accuracy in lesion characterization.
Magnetic resonance relaxometry is a quantitative technique that estimates T1/T2 tissue relaxation times. This has been proven to increase MRI diagnostic accuracy of brain disorders in human medicine. However, literature in the veterinary field is scarce. In this work, a T1 and T2-based relaxometry approach has been developed. The aim is to investigate its performance in characterizing subtle brain lesions obtained with autologous blood injections in rabbits. This study was performed with a low-field scanner, typically present in veterinary clinics. The approach consisted of a semi-automatic hierarchical classification of different regions, selected from a T2 map. The classification was driven according to the relaxometry properties extracted from a set of regions selected by the radiologist to compare the suspected lesion with the healthy parenchyma. Histopathological analyses were performed to estimate the performance of the proposed classifier through receiver operating characteristic curve analyses. The classifier resulted in moderate accuracy in terms of lesion characterization.
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