Evaluating the accuracy of multicomponent T2 parameters for luminal water imaging of the prostate with acceleration using inner-volume 3DGRASE
| Autor: | Masoom A. Haider, Vivekanandan Thayalasuthan, Garry Detzler, Angus Z. Lau, Rachel W. Chan, Robert K. Nam |
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| Rok vydání: | 2018 |
| Předmět: |
Materials science
Monte Carlo method Relaxation (NMR) Least squares Imaging phantom 030218 nuclear medicine & medical imaging 03 medical and health sciences Acceleration 0302 clinical medicine Nuclear magnetic resonance medicine.anatomical_structure Volume (thermodynamics) Prostate Spin echo medicine Radiology Nuclear Medicine and imaging 030217 neurology & neurosurgery |
| Zdroj: | Magnetic Resonance in Medicine. 81:466-476 |
| ISSN: | 0740-3194 |
| DOI: | 10.1002/mrm.27372 |
| Popis: | PURPOSE Prostate cancer can be detected using a multicomponent T2 mapping technique termed luminal water imaging. The purpose of this study is twofold: 1) To accelerate the luminal water imaging acquisition by using inner volume selection as part of a gradient and spin echo sequence, and 2) to evaluate the accuracy of luminal water fractions and multicomponent T2 relaxation times. METHODS The accuracy of parameter estimates was assessed using Monte Carlo simulations, in phantom experiments and in the prostate (in 5 healthy subjects). Two fitting methods, nonnegative least squares and biexponential fitting with stimulated echo correction, were compared. RESULTS Results demonstrate that inner volume selection in a gradient and spin echo sequence is effective for accelerating prostate luminal water imaging by at least threefold. Evaluation of the accuracy shows that the estimated luminal water fractions are relatively accurate, but the short- and long-T2 relaxation times should be interpreted with caution in noisy scenarios (SNR |
| Databáze: | OpenAIRE |
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