Perfusion weighted imaging using combined gradient/spin echo EPIK: Brain tumour applications in hybrid MR-PET.
Nadim Joni ShahNuno André da SilvaSeong Dae YunPublished in: Human brain mapping (2019)
Advanced perfusion-weighted imaging (PWI) methods that combine gradient echo (GE) and spin echo (SE) data are important tools for the study of brain tumours. In PWI, single-shot, EPI-based methods have been widely used due to their relatively high imaging speed. However, when used with increasing spatial resolution, single-shot EPI methods often show limitations in whole-brain coverage for multi-contrast applications. To overcome this limitation, this work employs a new version of EPI with keyhole (EPIK) to provide five echoes: two with GEs, two with mixed GESE and one with SE; the sequence is termed "GESE-EPIK." The performance of GESE-EPIK is evaluated against its nearest relative, EPI, in terms of the temporal signal-to-noise ratio (tSNR). Here, data from brain tumour patients were acquired using a hybrid 3T MR-BrainPET scanner. GESE-EPIK resulted in reduced susceptibility artefacts, shorter TEs for the five echoes and increased brain coverage when compared to EPI. Moreover, compared to EPI, EPIK achieved a comparable tSNR for the first and second echoes and significantly higher tSNR for other echoes. A new method to obtain multi-echo GE and SE data with shorter TEs and increased brain coverage is demonstrated. As proposed here, the workflow can be shortened and the integration of multimodal clinical MR-PET studies can be facilitated.
Keyphrases
- contrast enhanced
- magnetic resonance
- resting state
- white matter
- diffusion weighted
- computed tomography
- magnetic resonance imaging
- functional connectivity
- high resolution
- cerebral ischemia
- electronic health record
- diffusion weighted imaging
- end stage renal disease
- big data
- ejection fraction
- chronic kidney disease
- single molecule
- newly diagnosed
- healthcare
- room temperature
- density functional theory
- pet ct
- machine learning
- subarachnoid hemorrhage
- prognostic factors
- mass spectrometry
- affordable care act
- artificial intelligence
- data analysis
- photodynamic therapy
- patient reported outcomes