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Clinical application and validation of an iterative forward projection matching algorithm for permanent brachytherapy seed localization from conebeam-CT x-ray projections
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10.1118/1.3480962
/content/aapm/journal/medphys/37/9/10.1118/1.3480962
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/37/9/10.1118/1.3480962

Figures

Image of FIG. 1.
FIG. 1.

The perspective projection geometry for the imaging system. The 3D seed configuration is in the world coordinate system, which is defined by three translational and three rotational coordinates relative to the CBCT isocenter. The image receptor plane is defined by the imaging viewpoint angles , where and denote the constant values between the source to isocenter and detector to isocenter distances, respectively. The imaging axis rotates by angle around the x axis. The pixel index denotes the projected seed in the 2D imaging plane .

Image of FIG. 2.
FIG. 2.

(a) The ACUITY imaging system in the brachytherapy imaging suite and a phantom setup. (b) Schematic of the geometrical configuration of a precision-machined phantom containing 72 dummy seeds arranged as four nine-seed slabs alternating with three 12-seed slabs in a rectangular grid. This phantom was used to test the IFPM seed localization accuracy. The centers of the seeds were coplanar and perpendicular to the plane of the slabs.

Image of FIG. 3.
FIG. 3.

An example case of the image postprocessing of the projection images obtained from the Varian 4030CB digital simulator. (a) Raw projection image, (b) filtered image, (c) seed-only image, and (d) blurred image using the IFPM algorithm for patient III (81 implanted Theragenics model 200 seeds).

Image of FIG. 4.
FIG. 4.

The convergence rate of the IFPM algorithm for the two example cases: 12-seed and 72-seed phantom data sets.

Image of FIG. 5.
FIG. 5.

Histograms of the seed positional error for the 12-seed and 72-seed phantom study.

Image of FIG. 6.
FIG. 6.

An illustration of the iterative sequence morphing of the convergence process. (a) Initial estimate of the seed configuration, (b) computed images after first step of convergence, (c) computed images after second step of convergence, and (d) the measured images at different gantry angle for patient III. Despite large differences between the preplanned seed geometry (based on a TRUS volume study acquired about a week before the implant) and that observed 4 weeks after the implant, IFPM was able to accurately reproduce the desired seed configuration.

Image of FIG. 7.
FIG. 7.

The similarity metric convergence for the two-step IFPM algorithm for the four patient cases. The arrow in the button of the figure indicates the transition from larger to smaller Gaussian spread for patient III. The one-dimensional image-intensity profiles in the inset illustrate the capture ranges of the two-step filtering operations.

Image of FIG. 8.
FIG. 8.

Superposition of measured seed images (white seeds) with automatically detected seed positions (black markers) projected on the detector planes. (a) 0° gantry angle, (b) −20° gantry angle, and (c) gantry angle for patient III. While many seeds coincided exactly, a few still exhibit significant discrepancies.

Image of FIG. 9.
FIG. 9.

Seed registration error calculated from the nearest-neighbor distance between measured and computed seed position on each detector plane for patient III. The RMS error was found to be (0°), , and (−20°) gantry angles, respectively.

Image of FIG. 10.
FIG. 10.

Seed-by-seed vector difference between IFPM coordinates and those obtained from the VariSeed planning system for patient III data sets.

Image of FIG. 11.
FIG. 11.

Overlay of the measured seed images (white seeds) with automatically detected seed positions (black markers) projected on the detector planes for patient IV, who presents with incomplete data: 60 seeds are thought to be implanted but only 59 seeds are found on the week four postimplant dosimetry study. Gantry angle 0° is shown in (a), −20° is shown in (b), and is shown in part (c). The circle in part (b) indicates the extra seed found by IFPM at convergence. The IFPM algorithm converged accurately, recreating the identified 59 seed positions, including overlapping clustered and highly migrated seeds.

Tables

Generic image for table
TABLE I.

Summary of the comparisons of the seed positions deduced by the IFPM algorithm and by the VariSeed planning system for all example case patients. The mean value, standard deviation (sd) in each of the three directions, and overall 3D RMS error is reported. The seed registration error in the 2D image plane in terms of RMS value. The sd and the maximum displacement of the seed is also presented.

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/content/aapm/journal/medphys/37/9/10.1118/1.3480962
2010-08-31
2014-04-25
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: Clinical application and validation of an iterative forward projection matching algorithm for permanent brachytherapy seed localization from conebeam-CT x-ray projections
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/37/9/10.1118/1.3480962
10.1118/1.3480962
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