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Cine EPID evaluation of two non-commercial techniques for DIBH
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10.1118/1.4862835
/content/aapm/journal/medphys/41/2/10.1118/1.4862835
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/41/2/10.1118/1.4862835
View: Figures

Figures

Image of FIG. 1.
FIG. 1.

(Left image) EPID image of breast and chest wall during DIBH. (Right image) The output of the Canny edge filter is overlaid. The location of the detected edge agrees with the visual estimate of chest wall location. Black box marks the region of the image used to calculate position of the chest wall.

Image of FIG. 2.
FIG. 2.

Breakdown of data by images. Histogram of individual image measurements, , in mm, for all treatment fractions and all patients. (Top, blue) Data from MRCC, using inroom laser, skin mark coincidence (TAT). (Bottom, red) Data from SSH, using the RTSSD device.

Image of FIG. 3.
FIG. 3.

Breakdown of data by treatment beam. Histogram of standard deviation of intrafractional motion σ. -axis in mm; -axis is number of images. (Top, red) Data from MRCC, using inroom laser, skin mark coincidence (TAT). (Middle, blue) Data from SSH, using the RTSSD device. (Bottom, green) All data.

Image of FIG. 4.
FIG. 4.

Breakdown of data by patient. Patient chest wall measurements are plotted along the x-axis. Median and standard deviation of the measured chest wall position is shown by the error bars. Crosses above the error bars represent maximum measured chest position; crosses below the error bars represent minimum measured chest position. Occasionally, the measured extrema were within the standard deviation; in these cases, the crosses overlap.

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/content/aapm/journal/medphys/41/2/10.1118/1.4862835
2014-01-30
2014-04-16
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Cine EPID evaluation of two non-commercial techniques for DIBH
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/41/2/10.1118/1.4862835
10.1118/1.4862835
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