ArticleMedical physics2014
Sampling strategies for subsampled segmented EPI PRF thermometry in MR guided high intensity focused ultrasound.
Article in Medical physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Model Predictive Filtering MR Temperature Imaging for Laser-Induced Interstitial Thermotherapy.Magnetic resonance in medicine · 2026Article
- 3D MR Thermometry Using Bi-Directional Segmented EPI for Transcranial-Focused Ultrasound.Magnetic resonance in medicine · 2026Article
- A retraced spiral strategy with semi-automatic deblurring for volumetric thermometry.Magnetic resonance in medicine · 2025Article
- Simultaneous proton resonance frequency TMagnetic resonance in medicine · 2023Article
- Near-Infrared Light Increases Functional Connectivity with a Non-thermal Mechanism.Cerebral cortex communications · 2020Article
- Multiecho pseudo-golden angle stack of stars thermometry with high spatial and temporal resolution using k-space weighted image contrast.Magnetic resonance in medicine · 2018Article
- Simultaneous MR thermometry and acoustic radiation force imaging using interleaved acquisition.Magnetic resonance in medicine · 2018Article
- Accelerated magnetic resonance thermometry in the presence of uncertainties.Physics in medicine and biology · 2017Article
- Spatially-segmented undersampled MRI temperature reconstruction for transcranial MR-guided focused ultrasound.Journal of therapeutic ultrasound · 2017Article
- Evaluation of a three-dimensional MR acoustic radiation force imaging pulse sequence using a novel unbalanced bipolar motion encoding gradient.Magnetic resonance in medicine · 2016Article
- Correcting heat-induced chemical shift distortions in proton resonance frequency-shift thermometry.Magnetic resonance in medicine · 2016Article
- Respiration artifact correction in three-dimensional proton resonance frequency MR thermometry using phase navigators.Magnetic resonance in medicine · 2016Article
- MR thermometry for focused ultrasound monitoring utilizing model predictive filtering and ultrasound beam modeling.Journal of therapeutic ultrasound · 2016Article
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6 authors.
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Abstract
purposeTo investigate k-space subsampling strategies to achieve fast, large field-of-view (FOV) temperature monitoring using segmented echo planar imaging (EPI) proton resonance frequency shift thermometry for MR guided high intensity focused ultrasound (MRgHIFU) applications.
methodsFive different k-space sampling approaches were investigated, varying sample spacing (equally vs nonequally spaced within the echo train), sampling density (variable sampling density in zero, one, and two dimensions), and utilizing sequential or centric sampling. Three of the schemes utilized sequential sampling with the sampling density varied in zero, one, and two dimensions, to investigate sampling the k-space center more frequently. Two of the schemes utilized centric sampling to acquire the k-space center with a longer echo time for improved phase measurements, and vary the sampling density in zero and two dimensions, respectively. Phantom experiments and a theoretical point spread function analysis were performed to investigate their performance. Variable density sampling in zero and two dimensions was also implemented in a non-EPI GRE pulse sequence for comparison. All subsampled data were reconstructed with a previously described temporally constrained reconstruction (TCR) algorithm.
resultsThe accuracy of each sampling strategy in measuring the temperature rise in the HIFU focal spot was measured in terms of the root-mean-square-error (RMSE) compared to fully sampled "truth." For the schemes utilizing sequential sampling, the accuracy was found to improve with the dimensionality of the variable density sampling, giving values of 0.65 °C, 0.49 °C, and 0.35 °C for density variation in zero, one, and two dimensions, respectively. The schemes utilizing centric sampling were found to underestimate the temperature rise, with RMSE values of 1.05 °C and 1.31 °C, for variable density sampling in zero and two dimensions, respectively. Similar subsampling schemes with variable density sampling implemented in zero and two dimensions in a non-EPI GRE pulse sequence both resulted in accurate temperature measurements (RMSE of 0.70 °C and 0.63 °C, respectively). With sequential sampling in the described EPI implementation, temperature monitoring over a 192×144×135 mm3 FOV with a temporal resolution of 3.6 s was achieved, while keeping the RMSE compared to fully sampled "truth" below 0.35 °C.
conclusionsWhen segmented EPI readouts are used in conjunction with k-space subsampling for MR thermometry applications, sampling schemes with sequential sampling, with or without variable density sampling, obtain accurate phase and temperature measurements when using a TCR reconstruction algorithm. Improved temperature measurement accuracy can be achieved with variable density sampling. Centric sampling leads to phase bias, resulting in temperature underestimations.
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