ArticleQuantitative imaging in medicine and surgery2016
Breath-hold black blood quantitative T1rho imaging of liver using single shot fast spin echo acquisition.
Article in Quantitative imaging in medicine and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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15 citing papers in PubMed.
- A deep learning pipeline for liver macromolecular proton fraction quantification without subject-specific B1 acquisition using spin-lock MRI.Quantitative imaging in medicine and surgery · 2026Article
- Quantitative macromolecular proton fraction imaging using pulsed spin-lock.Magnetic resonance in medicine · 2025Article
- Utilizing 3D fast spin echo anatomical imaging to reduce the number of contrast preparations inMagnetic resonance in medicine · 2025Article
- T1rho imaging of head and neck cancer: its association with pathological and immunohistochemical biomarkers in nasopharyngeal carcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025Article
- Predictive markers for head and neck cancer treatment response: T1rho imaging in nasopharyngeal carcinoma.European radiology · 2025Article
- Orientation-independent quantification of macromolecular proton fraction in tissues with suppression of residual dipolar coupling.NMR in biomedicine · 2025Article
- 3D T1rho sequences with FASE, UTE, and MAPSS acquisitions for knee evaluation.Japanese journal of radiology · 2023Article
- Inhomogeneous liver fibrosis distribution revealed by macromolecular proton fraction quantification based on spin-lock MRI.Quantitative imaging in medicine and surgery · 2022Article
- Efficient phase-cycling strategy for high-resolution 3D gradient-echo quantitative parameter mapping.NMR in biomedicine · 2022Article
- Quantitative T1ρ MRI of the Head and Neck Discriminates Carcinoma and Benign Hyperplasia in the Nasopharynx.AJNR. American journal of neuroradiology · 2020Article
- Volumetric multicomponent TMagnetic resonance in medicine · 2020Article
- TNMR in biomedicine · 2020Article
- Liver injury monitoring, fibrosis staging and inflammation grading using T1rho magnetic resonance imaging: an experimental study in rats with carbon tetrachloride intoxication.BMC gastroenterology · 2020Article
- Black blood T1rho MR imaging may diagnose early stage liver fibrosis: a proof-of-principle study with rat biliary duct ligation model.Quantitative imaging in medicine and surgery · 2016Article
- Impact of Liver Fibrosis and Fatty Liver on T1rho Measurements: A Prospective Study.Korean journal of radiologyArticle
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Abstract
backgroundLiver fibrosis is a key feature in most chronic liver diseases. T1rho magnetic resonance imaging is a potentially important technique for noninvasive diagnosis, severity grading, and therapy monitoring of liver fibrosis. However, it remains challenging to perform robust T1rho quantification of liver on human subjects. One major reason is that the presence of rich blood signal in liver can cause artificially high T1rho measurement and makes T1rho quantification susceptible to motion.
methodsA pulse sequence based on single shot fast/turbo spin echo (SSFSE/SSTSE) acquisition, with theoretical analysis and simulation based on the extended phase graph (EPG) algorithm, was presented for breath-hold single slice quantitative T1rho imaging of liver with suppression of blood signal. The pulse sequence was evaluated in human subjects at 3.0 T with 500 Hz spinlock frequency and time-of-spinlock (TSL) 0, 10, 30 and 50 ms.
resultsHuman scan demonstrated that the entire T1rho data sets with four spinlock time can be acquired within a single breath-hold of 10 seconds with black blood effect. T1rho quantification with suppression of blood signal results in significantly reduced T1rho value of liver compared to the results without blood suppression.
conclusionsA signal-to-noise ratio (SNR) efficient pulse sequence was reported for T1rho quantification of liver. The black blood effect, together with a short breath-hold, mitigates the risk of quantification errors as would occur in the conventional methods.
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