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Combined acquisition of diffusion and T2*-weighted measurements using simultaneous multi-contrast magnetic resonance imaging
- Publication Year :
- 2022
- Publisher :
- Springer, 2022.
-
Abstract
- Object In this work, we present a technique called simultaneous multi-contrast imaging (SMC) to acquire multiple contrasts within a single measurement. Simultaneous multi-slice imaging (SMS) shortens scan time by allowing the repetition time (TR) to be reduced for a given number of slices. SMC imaging preserves TR, while combining different scan types into a single acquisition. This technique offers new opportunities in clinical protocols where examination time is a critical factor and multiple image contrasts must be acquired. Materials and methods High-resolution, navigator-corrected, diffusion-weighted imaging was performed simultaneously with T2*-weighted acquisition at 3 T in a phantom and in five healthy subjects using an adapted readout-segmented EPI sequence (rs-EPI). Results The results demonstrated that simultaneous acquisition of two contrasts (here diffusion-weighted imaging and T2*-weighting) with SMC imaging is feasible with robust separation of contrasts and minimal effect on image quality. Discussion The simultaneous acquisition of multiple contrasts reduces the overall examination time and there is an inherent registration between contrasts. By using the results of this study to control saturation effects in SMC, the method enables rapid acquisition of distortion-matched and well-registered diffusion-weighted and T2*-weighted imaging, which could support rapid diagnosis and treatment of acute stroke.
- Subjects :
- Diffusion (acoustics)
Radiological and Ultrasound Technology
medicine.diagnostic_test
business.industry
Image quality
Computer science
Biophysics
Scan types
Healthy subjects
Magnetic resonance imaging
Imaging phantom
Multi contrast
medicine
Radiology, Nuclear Medicine and imaging
Computer vision
Artificial intelligence
business
T2 weighted
Subjects
Details
- Language :
- English
- ISSN :
- 09685243
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....1778ff2c46472e89c7cf59bbbb47b08d