2006
DOI: 10.1118/1.2219772
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A comparison between amplitude sorting and phase-angle sorting using external respiratory measurement for 4D CT

Abstract: Respiratory motion can cause significant dose delivery errors in conformal radiation therapy for thoracic and upper abdominal tumors. Four-dimensional computed tomography (4D CT) has been proposed to provide the image data necessary to model tumor motion and consequently reduce these errors. The purpose of this work was to compare 4D CT reconstruction methods using amplitude sorting and phase angle sorting. A 16-slice CT scanner was operated in ciné mode to acquire 25 scans consecutively at each couch position… Show more

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Cited by 177 publications
(194 citation statements)
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“…The 3D volumetric images at individual respiratory phases are obtained by sorting the oversampled images or sinograms based on the associated respiratory phase‐angle or amplitude from the breathing trace that is acquired simultaneously during scanning 12. In the treatment planning process, if a gated treatment plan is decided, the 4D images are combined with the respiratory motion data to select an appropriate gating window 10.…”
Section: Introductionmentioning
confidence: 99%
“…The 3D volumetric images at individual respiratory phases are obtained by sorting the oversampled images or sinograms based on the associated respiratory phase‐angle or amplitude from the breathing trace that is acquired simultaneously during scanning 12. In the treatment planning process, if a gated treatment plan is decided, the 4D images are combined with the respiratory motion data to select an appropriate gating window 10.…”
Section: Introductionmentioning
confidence: 99%
“…The phase‐binning algorithm is based on previous work by Lu et al 29 but was modified to allow for online binning. Bins are defined relative to the automatically detected extremal respiratory positions (“peaks” and “valleys”) in each respiratory cycle.…”
Section: Methodsmentioning
confidence: 99%
“…Strategies to reduce motion artifacts and improve 4D CT image clarity have been developed and investigated — for example, the use of audiovisual biofeedback to help improve the patient's respiratory regularity, 9 , 10 the application of different algorithms to improve retrospective sorting, 11 , 13 and postprocessing of data to improve image reconstruction (14) . However, most of these strategies rely on visual evaluation of the improvements and are, therefore, prone to human subjectivity.…”
Section: Introductionmentioning
confidence: 99%