2011
DOI: 10.1118/1.3574872
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Effect of mid-scan breathing changes on quality of 4DCT using a commercial phase-based sorting algorithm

Abstract: This study suggests that basic breathing statistics can be used to quickly assess the quality of a 4DCT scan prior to image reconstruction. Such information can help give indication of the proper course of action when irregular breathing patterns are observed during CT scanning.

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Cited by 13 publications
(18 citation statements)
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“…For this simulation we use Eq. (28) = 1, 6, 10, 30 s), which is effectively changing the dose rate (MU/min) for a given segment with fixed MU, and number of fractions (K = 1, 4, 30). Figure 1 shows the results of one simulation of multiple deliveries for a fixed time t. Figure 1(a) shows the result for perfect repeated deliveries with fixed t 0 .…”
Section: Iic4 Imrt Delivery Time With Irregular Breathing Cyclementioning
confidence: 99%
“…For this simulation we use Eq. (28) = 1, 6, 10, 30 s), which is effectively changing the dose rate (MU/min) for a given segment with fixed MU, and number of fractions (K = 1, 4, 30). Figure 1 shows the results of one simulation of multiple deliveries for a fixed time t. Figure 1(a) shows the result for perfect repeated deliveries with fixed t 0 .…”
Section: Iic4 Imrt Delivery Time With Irregular Breathing Cyclementioning
confidence: 99%
“…It is not clear why this relationship was absent for phase-binned image sets; however, the complexities of helical scan acquisition and image reconstruction are likely factors. A more systematic experimental approach may clarify the relationship between distortions and breathing irregularities, as done by Noel et al 18 Even so, it can be seen in Fig. 4 that there was a general increase in distortions with more irregular waveforms.…”
Section: After Experimental and Clinical Evaluation Of Both Amplitudementioning
confidence: 84%
“…Figure 1 An in-house developed programmable motion phantom 17 (Washington University 4D phantom, St. Louis, MO) was utilized for the phantom study. 18 The motorized phantom was comprised of a dynamic three-dimensional imaging stage to hold an imaged object and a separate one-dimensional motion axis for attaching a respiratory surrogate to simulate a synchronized breathing signal. The system has been previously tested and shown to provide motion with submillimeter accuracy.…”
Section: Iic Amplitude-binning Algorithm For 4dct Image Reconstructionmentioning
confidence: 99%
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“…1). Four-dimensional CT ITVs from sinusoidal and irregular breathing patterns have been analyzed volumetrically and are reported in the literature, [1][2][3] as have CBCT ITVs from sinusoidal patterns. 2,4 However, the effect that irregular patterns have on CBCT ITVs has not yet been analyzed in 3D, only 2D, 5 and there have been FIG.…”
Section: Introductionmentioning
confidence: 99%