Abstract:Purpose
To develop an acquisition scheme for generating magnetic resonance elastography (MRE) displacement data with whole-brain coverage, high spatial resolution, and adequate signal-to-noise ratio (SNR) in a short scan time.
Theory and Methods
A 3D multislab, multishot acquisition for whole-brain MRE with 2.0 mm isotropic spatial resolution is proposed. The multislab approach allowed for the use of short repetition time to achieve very high SNR efficiency. High SNR efficiency allowed for a reduced acquisit… Show more
“…Across the cerebrum, including all white and gray matter but excluding regions of CSF [6,8], her average stiffness was 1.62 kPa. This is approximately 46% softer than the normal brain that generally exhibits a stiffness of approximately 3.0 kPa in healthy populations at 50 Hz [6,9]. This patient had very low tissue stiffness, and thus very high tissue compliance, consistent with previous hypotheses of the causation and etiology of LPH.…”
Section: Case Reportsupporting
confidence: 64%
“…The captured images are used to estimate mechanical properties of brain tissue through the finite element-based nonlinear inversion algorithm [10]. Specific details of imaging and inversion schemes are described in the previous works by Johnson et al [9] and McGarry et al [10], respectively.…”
Section: Case Reportmentioning
confidence: 99%
“…Here the stiffness measure is analogous to tissue elasticity, which is the inverse of tissue compliance. The specific MRE scan protocol uses a 3-dimensional multislab, multishot spiral sequence for generating whole-brain displacement images at 2 mm isotropic resolution [9]. The captured images are used to estimate mechanical properties of brain tissue through the finite element-based nonlinear inversion algorithm [10].…”
The authors describe the case of a 19-year-old female with shunted aqueductal stenosis who presented with low-pressure hydrocephalus that responded to negative pressure drainage. A magnetic resonance elastography scan performed 3 weeks later demonstrated very low brain tissue stiffness (high brain tissue compliance). An analysis of the importance of this finding in understanding this rare condition is discussed.
“…Across the cerebrum, including all white and gray matter but excluding regions of CSF [6,8], her average stiffness was 1.62 kPa. This is approximately 46% softer than the normal brain that generally exhibits a stiffness of approximately 3.0 kPa in healthy populations at 50 Hz [6,9]. This patient had very low tissue stiffness, and thus very high tissue compliance, consistent with previous hypotheses of the causation and etiology of LPH.…”
Section: Case Reportsupporting
confidence: 64%
“…The captured images are used to estimate mechanical properties of brain tissue through the finite element-based nonlinear inversion algorithm [10]. Specific details of imaging and inversion schemes are described in the previous works by Johnson et al [9] and McGarry et al [10], respectively.…”
Section: Case Reportmentioning
confidence: 99%
“…Here the stiffness measure is analogous to tissue elasticity, which is the inverse of tissue compliance. The specific MRE scan protocol uses a 3-dimensional multislab, multishot spiral sequence for generating whole-brain displacement images at 2 mm isotropic resolution [9]. The captured images are used to estimate mechanical properties of brain tissue through the finite element-based nonlinear inversion algorithm [10].…”
The authors describe the case of a 19-year-old female with shunted aqueductal stenosis who presented with low-pressure hydrocephalus that responded to negative pressure drainage. A magnetic resonance elastography scan performed 3 weeks later demonstrated very low brain tissue stiffness (high brain tissue compliance). An analysis of the importance of this finding in understanding this rare condition is discussed.
“…Several recent approaches to address the challenges of SNR and artifacts have included specialized scanning hardware, pulse sequence modifications, and image reconstruction advances. [1][2][3][4] While many of the recent advances have focused on specialized hardware, the proposed approach will enable high resolution imaging on any hardware configuration. Achieving sufficient SNR for a high-resolution diffusion scan relies on minimizing the echo time (TE) and operating at an SNR-optimal repetition time (TR).…”
, "High spatial resolution diffusion weighted imaging on clinical 3 T MRI scanners using multislab spiral acquisitions," J. Med. Imag. 3(2), 023501 (2016) Abstract. A diffusion weighted imaging (DWI) approach that is signal-to-noise ratio (SNR) efficient and can be applied to achieve sub-mm resolutions on clinical 3 T systems was developed. The sequence combined a multislab, multishot pulsed gradient spin echo diffusion scheme with spiral readouts for imaging data and navigators. Long data readouts were used to keep the number of shots, and hence total imaging time, for the three-dimensional acquisition short. Image quality was maintained by incorporating a field-inhomogeneity-corrected image reconstruction to remove distortions associated with long data readouts. Additionally, multiple shots were required for the high-resolution images, necessitating motion induced phase correction through the use of efficiently integrated navigator data. The proposed approach is compared with two-dimensional (2-D) acquisitions that use either a spiral or a typical echo-planar imaging (EPI) acquisition to demonstrate the improved SNR efficiency. The proposed technique provided 71% higher SNR efficiency than the standard 2-D EPI approach. The adaptability of the technique to achieve high spatial resolutions is demonstrated by acquiring diffusion tensor imaging data sets with isotropic resolutions of 1.25 and 0.8 mm. The proposed approach allows for SNR-efficient sub-mm acquisitions of DWI data on clinical 3 T systems.
“…10,11,14,24 The recent development of a 3D multislab, multishot acquisition for whole-brain MRE could achieve high signal-to-noise efficacy. [25][26][27][28][29] 3D analysis could improve the results if the wave propagation is complicated, especially if there is throughplane oblique wave propagation that a 2D analysis would not visualize correctly.…”
BACKGROUND AND PURPOSE:The stiffness of intracranial tumors affects the outcome of tumor removal. We evaluated the stiffness of 4 common intracranial tumors by using MR elastography and tested whether MR elastography had the potential to discriminate firm tumors preoperatively.
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