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A Magnetic Resonance-Relaxometry-Based Technique to Identify Blood Products in Brain Parenchyma: An Experimental Study on a Rabbit Model.
- Source :
-
Frontiers in veterinary science [Front Vet Sci] 2022 May 31; Vol. 9, pp. 802272. Date of Electronic Publication: 2022 May 31 (Print Publication: 2022). - Publication Year :
- 2022
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Abstract
- 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.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Del Signore, Vignoli, Della Salda, Tamburro, Paolini, Cerasoli, Chincarini, Rossi, Ferri, Romanucci, Falerno and de Pasquale.)
Details
- Language :
- English
- ISSN :
- 2297-1769
- Volume :
- 9
- Database :
- MEDLINE
- Journal :
- Frontiers in veterinary science
- Publication Type :
- Academic Journal
- Accession number :
- 35711807
- Full Text :
- https://doi.org/10.3389/fvets.2022.802272