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Evaluation of similarity measures for use in the intensity-based rigid 2D-3D registration for patient positioning in radiotherapy
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10.1118/1.3250843
/content/aapm/journal/medphys/36/12/10.1118/1.3250843
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/36/12/10.1118/1.3250843

Figures

Image of FIG. 1.
FIG. 1.

Portal images used in the similarity measure studies. The images on the top row are the kV portal images of a cranial phantom. The images on the middle row are the MV portal images of the cranial phantom. The images at the bottom row are the MV portal images of a head-and-neck patient.

Image of FIG. 2.
FIG. 2.

Surface and contour plots of similarity measures for MV portal imaging and CPU-based DRR calculation. Each measure was plotted as the function of lateral and longitudinal shifts. (a) PIU, (b) NMI, (c) NCC, (d) ED, (e) PI, (f) GD, and (g) GC.

Image of FIG. 3.
FIG. 3.

Same as Fig. 2, except that GPU-based DRR calculation was used.

Image of FIG. 4.
FIG. 4.

The impact of the size of the ROI on similarity measure properties in kV portal/CT registrations of a cranial phantom. The similarity measure properties are (a) ACC, (b) DO, (c) , (d) NOM, and (e) RON. The DRRs were calculated using GPU-based method.

Image of FIG. 5.
FIG. 5.

The impact of downsampling ratio on similarity measure properties in kV portal/CT registrations of a cranial phantom. The similarity measure properties are (a) ACC, (b) DO, (c) , (d) NOM, and (e) RON. The DRRs were calculated using GPU-based method.

Tables

Generic image for table
TABLE I.

Similarity measure properties in kV portal/CT registrations of a cranial phantom. Numbers in bold indicate the best values for a specific criterion. ACC: Accuracy; DO: Distinctiveness of optimum; CR: Capture range; : Mean line capture range; NOM: Number of minima; RON: Risk of nonconvergence; PIU: Partitioned intensity uniformity; NMI: Normalized mutual information; NCC: Normalized cross correlation; ED: Entropy of the difference image; PI: Pattern intensity; GD: Gradient difference; and GC: Gradient correlation.

Generic image for table
TABLE II.

Same as Table I, except that MV portal/CT registrations were used.

Generic image for table
TABLE III.

Same as Table I, except that MV portal/CT registrations of a patient with head-or-neck cancer were used.

Generic image for table
TABLE IV.

The impact of error tolerance on using the patient images and the CPU-based DRR generation method. All abbreviations are defined in Table I.

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/content/aapm/journal/medphys/36/12/10.1118/1.3250843
2009-11-05
2014-04-23
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Evaluation of similarity measures for use in the intensity-based rigid 2D-3D registration for patient positioning in radiotherapy
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/36/12/10.1118/1.3250843
10.1118/1.3250843
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