mri_distortion_toolkit phantom acquisition data
Field | Value | Language |
dc.contributor.author | Whelan, Brendan | |
dc.contributor.author | Liu, Paul | |
dc.contributor.author | Shan, Shanshan | |
dc.date.accessioned | 2023-04-25T23:32:22Z | |
dc.date.available | 2023-04-25T23:32:22Z | |
dc.date.issued | 2023-04-26 | |
dc.identifier.uri | https://hdl.handle.net/2123/31139 | |
dc.description.abstract | This dataset contains MRI and CT images of the MRI distortion phantom detailed here: https://acrf-image-x-institute.github.io/mri_distortion_toolkit/phantom_notes.html Codes detailing the analysis of this data are here: https://github.com/ACRF-Image-X-Institute/mri_distortion_toolkit/tree/paper A paper discussing this data and analysis in in preparation | en_AU |
dc.rights | Creative Commons Attribution 4.0 | en_AU |
dc.subject | MRI | en_AU |
dc.subject | dicom | en_AU |
dc.subject | distortion | en_AU |
dc.title | mri_distortion_toolkit phantom acquisition data | en_AU |
dc.type | Dataset | en_AU |
dc.relation.nhmrc | 1132471 | |
dc.relation.nhmrc | 1163010 | |
dc.description.method | To generate undistorted ‘ground truth’ marker position data, the phantom was imaged on a Phillips Brilliance Big Bore CT scanner with 1.6 mm slices and 1.2 mm pixels. MRI images were acquired on The Australian MRI-Linac, which consists of a novel 1.0 T split bore magnet. FLASH gradient echo images with a bandwidth of 260 Hz were acquired. Since the markers are oil based, they will be subject to fat/water shift if the default (water) encoding frequency is used. It is possible to correct for this effect in software, or by re-tuning the central imaging frequency prior to imaging. The latter approach was taken, eliminating fat/water shift from the images. The “reverse gradient” technique was used, in which pairs of images are acquired with the polarity of the gradients reversed (Baldwin et al., 2009; Glide-Hurst et al., 2021; Tadic et al., 2014). Since B0 effects manifest largely in the frequency encode direction, this technique enables one to separate out the effects of B0 inhomogeneity from gradient non-linearity. As such, three pairs of forward/reverse images were acquired: transverse, coronal, and sagittal. From each of these images, one can generate an accurate estimate of the B0 field, and the gradient field in the frequency and phase encode directions; this is discussed further in section 2.3.2. The body coil of the scanner was used for both receive and transmit. | en_AU |
usyd.faculty | School of Health Sciences, Faculty of Medicine | en_AU |
usyd.department | Image-X institute | en_AU |
workflow.metadata.only | No | en_AU |
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