ArticleMagnetic resonance in medicine2018
Rapid dual-echo ramped hybrid encoding MR-based attenuation correction (dRHE-MRAC) for PET/MR.
Article in Magnetic resonance in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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17 citing papers in PubMed.
- PET/MRI in colorectal and anal cancers: an update.Abdominal radiology (New York) · 2023Review
- Correction of BNMR in biomedicine · 2023Article
- Characterization of hardware-related spatial distortions for IR-PETRA pulse sequence using a brain specific phantom.Magma (New York, N.Y.) · 2021Article
- Attenuation correction for human PET/MRI studies.Physics in medicine and biology · 2020Article
- Rapid single scan ramped hybrid-encoding for bicomponent T2* mapping in a human knee joint: A feasibility study.NMR in biomedicine · 2020Article
- MR Image-Based Attenuation Correction of Brain PET Imaging: Review of Literature on Machine Learning Approaches for Segmentation.Journal of digital imaging · 2020Review
- Self-Navigated Three-Dimensional Ultrashort Echo Time Technique for Motion-Corrected Skull MRI.IEEE transactions on medical imaging · 2020Article
- MR-based PET attenuation correction using a combined ultrashort echo time/multi-echo Dixon acquisition.Medical physics · 2020Article
- Inversion recovery zero echo time (IR-ZTE) imaging for direct myelin detection in human brain: a feasibility study.Quantitative imaging in medicine and surgery · 2020Article
- Inversion recovery UTE based volumetric myelin imaging in human brain using interleaved hybrid encoding.Magnetic resonance in medicine · 2020Article
- PET/MRI attenuation estimation in the lung: A review of past, present, and potential techniques.Medical physics · 2020Review
- Fat suppression for ultrashort echo time imaging using a single-point Dixon method.NMR in biomedicine · 2019Article
- Rapid dual-RF, dual-echo, 3D ultrashort echo time craniofacial imaging: A feasibility study.Magnetic resonance in medicine · 2019Article
- True phase quantitative susceptibility mapping using continuous single-point imaging: a feasibility study.Magnetic resonance in medicine · 2019Article
- A deep learning approach forEJNMMI physics · 2018Article
- Feasibility of Deep Learning-Based PET/MR Attenuation Correction in the Pelvis Using Only Diagnostic MR Images.Tomography (Ann Arbor, Mich.) · 2018Article
- Technical Note: Deep learning based MRAC using rapid ultrashort echo time imaging.Medical physics · 2018Article
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4 authors.
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Abstract
purposeIn this study, we propose a rapid acquisition for MR-based attenuation correction (MRAC) in positron emission tomography (PET)/MR imaging, in which an ultrashort echo time (UTE) image and an out-of-phase echo image are obtained within a single rapid scan (35 s) at high spatial resolution (1 mm
methodsIn dual-echo ramped hybrid encoding (dRHE), a UTE echo is directly followed by a second out-of-phase echo, in which hybrid spatial encoding combining single-point imaging and 3-dimensional radial frequency encoding is used to improve the quality of both images. Two-point Dixon reconstruction is used to estimate fat- and water-separated images, and UTE images are used to estimate bone. Air and bone segmentation is improved by using multiple UTE images with an advanced hybrid-encoding scheme that allows reconstruction of multiple UTE images. To evaluate the proposed method, dRHE-MRAC PET/MR brain imaging was performed in 10 subjects. Dice coefficients and PET reconstruction errors relative to CT-based attenuation correction were compared with existing system MRAC approaches.
resultsIn dRHE-MRAC, the Dice coefficients for soft tissue, air, and bone were respectively 0.95 ± 0.01, 0.62 ± 0.06, and 0.78 ± 0.05, which was a significantly improved result compared with existing approaches. In most brain regions, dRHE-MRAC showed significantly reduced PET error (less than 1%) with P values less than 0.05.
conclusionsDual-echo ramped hybrid encoding enables rapid and robust imaging for MRAC with a very rapid acquisition. Magn Reson Med 79:2912-2922, 2018. © 2017 International Society for Magnetic Resonance in Medicine.
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