2018
DOI: 10.1016/j.radonc.2018.05.006
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Retrospective self-sorted 4D-MRI for the liver

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Cited by 25 publications
(20 citation statements)
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“…is that they can fail to properly synchronize with the pulse sequence start and end acquisition time points, lose coherence with k-space acquired data, as well as suffer from the uncertainties in correlation between external measurements with actual internal anatomical motion. [13][14][15][16][17][18][19][20][21][22][23]96,97,104,105 For internal surrogates, there are two main approaches of either extracting the signal directly from the acquired imaged data 95,[106][107][108][109][110][111][112][113][114] or with a navigator, 115,116 which is a fast 1D MRI acquisition of a selected anatomical interface of moving structures (preferably with high contrast), most commonly the lung-liver interface. 97 The advantage of using a navigator over image-derived surrogates is the ability to minimize image artifacts, 117 as well as better represent variabilities within the breathing cycles captured throughout the image acquisition.…”
Section: B 4d-mrimentioning
confidence: 99%
“…is that they can fail to properly synchronize with the pulse sequence start and end acquisition time points, lose coherence with k-space acquired data, as well as suffer from the uncertainties in correlation between external measurements with actual internal anatomical motion. [13][14][15][16][17][18][19][20][21][22][23]96,97,104,105 For internal surrogates, there are two main approaches of either extracting the signal directly from the acquired imaged data 95,[106][107][108][109][110][111][112][113][114] or with a navigator, 115,116 which is a fast 1D MRI acquisition of a selected anatomical interface of moving structures (preferably with high contrast), most commonly the lung-liver interface. 97 The advantage of using a navigator over image-derived surrogates is the ability to minimize image artifacts, 117 as well as better represent variabilities within the breathing cycles captured throughout the image acquisition.…”
Section: B 4d-mrimentioning
confidence: 99%
“…While slice‐based 4D‐MRI sequences may use any slice orientation, we are focusing on two in‐house developed 4D‐MRI sequences based on coronal or axial 2D slices . Both methods are based on repeatedly sampling the 3D VOI with an interleaved, multislice turbo‐spin echo (TSE) or gradient echo acquisition over the course of 3–5 min.…”
Section: Methodsmentioning
confidence: 99%
“…The time series of rigid registration shifts in cranial‐caudal (CC) direction then forms the respiratory self‐sorting signal, and can be used to assign each 2D slice to its appropriate respiratory phase bin in the 4D‐MRI. In case of the coronal 4D‐MRI sequence, sorting was based on the respiratory amplitude, whereas for the axial 4D‐MRI sequence, phase binning was used . In contrast to many 3D‐based 4D‐MRI solutions, the image reconstruction only takes seconds and does not require any dedicated reconstruction hardware.…”
Section: Methodsmentioning
confidence: 99%
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“…For radiotherapy contouring this may however be inappropriate if the treatment is done under deep inspiration breath-hold (the maximum inhale phase of the breathing cycle), or during free breathing, taking the mid-ventilation or mid-position of the tumor as reference. While standard solutions are not readily available, 4D-MRI solutions have been proposed that map multiple phases of the breathing motion and allow contouring in a mid-ventilation or mid-position phase that is more representative of the mean position during free breathing [37] , [38] , [39] .…”
Section: Image Artifactsmentioning
confidence: 99%