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A multiple points method for 4D CT image sorting
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10.1118/1.3538921
/content/aapm/journal/medphys/38/2/10.1118/1.3538921
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/38/2/10.1118/1.3538921

Figures

Image of FIG. 1.
FIG. 1.

The calibrated infrared optical localization system used in combination with the RPM system.

Image of FIG. 2.
FIG. 2.

Extracted amplitude values for the calculation of root mean square errors (the uniformity of breathing cycle sampling). Signals refer to a single couch position of (upper panel) and (lower panel).

Image of FIG. 3.
FIG. 3.

Comparison between the simulated RPM sorting and clustering technique (unique clustering with uniform in time initialization) in the case of time variant frequency signal.

Image of FIG. 4.
FIG. 4.

Qualitative comparison between the RPM phase sorting (upper panel), RPM amplitude sorting (central panel), and clustering technique (lower panel) for the geometric volume phantom in the second acquisition. Clustering technique was performed with uniform in time initialization and set to set reassignment. Different symbols identify different breathing phases. Black dots correspond to CT image acquisition; the overlaid symbols correspond to CT images representative of the breathing phases.

Image of FIG. 5.
FIG. 5.

Qualitative comparison between the RPM phase sorting (upper panel), RPM amplitude sorting (central panel), and clustering technique (lower panel) for a patient case (patient 1). Clustering technique was performed with uniform in time initialization and set to set reassignment. The reported images are relative to the breathing phase identified with symbol ○ (inspiration before peak).

Image of FIG. 6.
FIG. 6.

Qualitative comparison between the RPM phase sorting (upper panel), RPM amplitude sorting (central panel), and clustering technique (lower panel) for a patient case (patient 2). Clustering technique was performed with uniform in time initialization and set to set reassignment. The reported images are relative to the breathing phase identified with symbol ○ (expiration after inspiration peak).

Tables

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TABLE I.

Initialization strategies.

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TABLE II.

Reassignment techniques: the gray options were not taken into account due to excessive computational cost.

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TABLE III.

Initialization strategies: uniform in time, uniform in space, random initializations with set to set reassignment technique.

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TABLE IV.

Reassignment techniques: uniform in time initialization and simulated RPM sorting.

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TABLE V.

Time variant baseline and time variant amplitude signals: uniform in time, single and all couch/es initializations with set to set reassignment, unique clustering with uniform in time initialization and simulated RPM sorting.

Generic image for table
TABLE VI.

Phantom results: comparison between RPM sorting and clustering technique (uniform in time single couch initialization and set to set reassignment). Standard deviation and root mean square error are calculated on normalized amplitude values (−1 and ).

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/content/aapm/journal/medphys/38/2/10.1118/1.3538921
2011-01-14
2014-04-18
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A multiple points method for 4D CT image sorting
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/38/2/10.1118/1.3538921
10.1118/1.3538921
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