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16 March 2020 Fast and accurate brain T2 relaxation time quantification in animal models calibrated using gel phantoms and in vivo data suitable for imaging at a biosafety level 4 environment
Marcelo A. Castro, Joseph Laux, Harry Friel, Jeffrey Solomon, Russell Byrum, Oscar Rojas, David Thomasson, Laura Bollinger, Dima Hammoud, Ji Hyun Lee
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Proceedings Volume 11312, Medical Imaging 2020: Physics of Medical Imaging; 1131233 (2020) https://doi.org/10.1117/12.2548619
Event: SPIE Medical Imaging, 2020, Houston, Texas, United States
Abstract
The brain is an organ of interest in high-consequence infectious disease. Subtle blood-brain-barrier disruption and edema can be identified and quantified using T2 relaxation time as a biomarker. Accuracy is required to correlate changes in imaging findings with biological processes and therapeutic effectiveness. Dual echo time Fluid-Attenuated Inversion Recovery images, which minimizes the partial volume effects from cerebrospinal fluid, can be used to quantify T2 relaxation. This sequence also meets the acquisition time requirements of biosafety level-4 facilities, where cohorts of animals are imaged on a tight schedule until terminal stages, when the animals may not survive long scans. However, the echo time used to compute T2 varies among slices due to k-space mapping in fast spin-echo sequence. Therefore, an effective echo time instead of the prescribed echo time should be considered. We hypothesize that accurate effective echo time can be estimated by optimization for each slice ordering. A longer and more accurate T2-weighted spin-echo (multiecho) sequence to compute T2 maps from mono-exponential fitting was validated using gel phantoms and used as ground truth. A brain of a non-human primate was imaged in vivo using both T2 sequences. T2 maps were generated using both methods and a correction factor was computed by linear fitting for each set of echo times and slice ordering. The coefficient of variation within phantoms and the Pearson’s correlation coefficient between in vivo ground truth T2 and each map were used to assess its accuracy and quality.
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Marcelo A. Castro, Joseph Laux, Harry Friel, Jeffrey Solomon, Russell Byrum, Oscar Rojas, David Thomasson, Laura Bollinger, Dima Hammoud, and Ji Hyun Lee "Fast and accurate brain T2 relaxation time quantification in animal models calibrated using gel phantoms and in vivo data suitable for imaging at a biosafety level 4 environment", Proc. SPIE 11312, Medical Imaging 2020: Physics of Medical Imaging, 1131233 (16 March 2020); https://doi.org/10.1117/12.2548619
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KEYWORDS
Brain
Brain mapping
In vivo imaging
Neuroimaging
Data modeling
Animal model studies
Calibration
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