Time-dependent low-field MRI characteristics of canine blood: an in vitro study.
10.4142/jvs.2016.17.1.103
- Author:
Jimo JEONG
1
;
Sangjun PARK
;
Eunseok JEONG
;
Namsoo KIM
;
Minsu KIM
;
Yechan JUNG
;
Youngkwon CHO
;
Kichang LEE
Author Information
1. College of Veterinary Medicine, Chonbuk National University Specialized Campus, Iksan 54596, Korea. kclee@chonbuk.ac.kr
- Publication Type:Original Article ; Research Support, Non-U.S. Gov't
- Keywords:
blood;
canine;
in vitro;
low field;
magnetic resonance
- MeSH:
Animals;
Blood/*diagnostic imaging;
Blood Coagulation;
Blood Physiological Phenomena;
Dogs;
Female;
Hematoma/diagnostic imaging;
Hemorrhage/diagnostic imaging;
*Magnetic Resonance Imaging;
Thrombosis/diagnostic imaging;
Time
- From:Journal of Veterinary Science
2016;17(1):103-109
- CountryRepublic of Korea
- Language:English
-
Abstract:
This study was conducted to assess time-sensitive magnetic resonance (MR) changes in canine blood using low-field MR. Arterial and venous blood samples were collected from eight healthy beagle dogs. Samples were placed in 5-mL tubes and imaged within 3 hours of collection at 1 day intervals from day 1 to day 30. The following sequences were used: T1-weighted (T1W), T2-weighted (T2W), fluid-attenuated inversion recovery (FLAIR), short tau inversion recovery (STIR), and T2-star gradient-echo (T2*-GRE). Visual comparison of the images revealed that four relatively homogenous blood clots and twelve heterogeneous blood clots developed. The margination of the clot and plasma changed significantly on day 2 and day 13. On day 2, heterogeneous blood clots were differentiated into 2 to 3 signal layers in the T2W, T1W, and especially the STIR images. Hypointense signal layers were also detected in the blood clots in STIR images, which have T2 hypo, FLAIR hypo, and T1 hyper intense signals. In all images, these signal layers remained relatively unchanged until day 13. Overall, the results suggest that hematomas are complex on low-field MRI. Accordingly, it may not be feasible to accurately characterize hemorrhages and predict clot age based on low-field MRI.
