Dataset
Automated reacquisition for respiration insensitive scanning with MRI
- Documentation:
- Files: *.nii are NIfTI-1 formatted image files, http://nifti.nimh.nih.gov/. ImageJ is a suitable viewer, http://imagej.nih.gov/ij/ CINE.nii: CINE MRI frames acquired during the cardiac cycle of a mouse. DCE001noreacq.nii: DCE MRI frames of mouse 1 without reacquisition. DCE001reacq.nii: DCE MRI frames of mouse 1 with reacquisition. DCE00n.nii: DCE MRI frames of mouse n with reacquisition (n = [2,7]). LungAngio.avi avi movie file showing angiographic blood volume image of the thorax of mouse 1. Generated from the difference between DCE MRI frames 10 and 11 of DCE001reacq.nii. *.txt are ASCII text files. reacq00n.txt: DCE MRI reacquisition file for mouse n (n = [1,7]). The files show duplicate successive entries for those acquisition blocks that were reacquired. The number of uncorrupted acquisition blocks per breath interval can be deduced from the files. timestamp00n.txt: DCE MRI timestamp file for mouse n (n = [1,7]). The files show timestamps for the acquisition of the centre of k-space for each DCE MRI frame. Automated and immediate reacquisition of data that are corrupted by respiratory motion has been developed to improve respiration insensitive scanning in small animal MRI. Methods have been developed to maximise the efficiency with which respiratory and cardio-respiratory synchronised scans can be acquired and provide quantitative image data that exhibit a remarkably low level of motion artefact. 3D dynamic contrast enhanced (DCE)-MRI is performed with a mean frame interval of 13.7 s which enables early passage of contrast agent to be detected in the major vessels, the heart and lungs, and essentially presents an angiographic blood volume image of the mouse thorax. 2D steady state maintained CINE MRI is performed with a 3.24 ms frame interval starting within 3.24 ms of the cardiac R-wave. The CINE data exhibit very homogeneous image intensities throughout the cardiac cycle without any amplitude modulations, often referred to as 'flashing', which should enable more robust quantitative analyses of cardiac function.
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Authors/Creators
- Publisher:
- University of Oxford
- Publication date:
- 2014
- DOI:
- Language:
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English
- UUID:
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uuid:10bbc34c-0eeb-4892-a1b8-d30f664efdab
- Deposit date:
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2015-07-22
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