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A theoretical framework for prescribing radiotherapy dose distributions using patient-specific biological information
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10.1118/1.2975229
/content/aapm/journal/medphys/35/10/10.1118/1.2975229
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/35/10/10.1118/1.2975229

Figures

Image of FIG. 1.
FIG. 1.

Sequence of imaging sessions and treatment phases for the analytical derivation of radiobiological parameters.

Image of FIG. 2.
FIG. 2.

Radial profile of clonogen density and partial pressure of oxygen within the spherical model tumor.

Image of FIG. 3.
FIG. 3.

Sensitivity of the dose prescription for a particular voxel to variations in the value of (a) effective ; (b) effective ; (c) proliferation rate (potential doubling times of 1, 10, 100, and are labeled); and (d) clonogen density . Doses are normalized to a reference voxel with the parameter values given in Table I.

Image of FIG. 4.
FIG. 4.

Local and global minima of the objective function (OF) in the optimization plane.

Image of FIG. 5.
FIG. 5.

Effect of increasing image noise on derived radiobiological parameters. Solid lines show the rms error in the mean computed value, and dashed lines indicate the standard deviation of individual voxel values.

Image of FIG. 6.
FIG. 6.

(a) The effect on the matrix determinant of varying the phase 3 fraction size; (b) how uncertainties in calculating , , and vary as the determinant is varied in this manner; (c) how the matrix determinant varies with phase 1 treatment time; (d) the subsequent effect on uncertainties in calculated parameters. [For (b) and (d), solid lines show the rms error in the mean computed value, and dashed lines indicate the standard deviation of individual voxel values. Simulated data sets contained 10% random noise].

Image of FIG. 7.
FIG. 7.

Initial parametric maps and final dose distributions for four tumor models. The parameters assigned to each model are given in Table II.

Tables

Generic image for table
TABLE I.

Reference parameter set.

Generic image for table
TABLE II.

Parameters for tumor models.

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/content/aapm/journal/medphys/35/10/10.1118/1.2975229
2008-09-19
2014-04-23
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752b84549af89a08dbdd7fdb8b9568b5 journal.articlezxybnytfddd
Scitation: A theoretical framework for prescribing radiotherapy dose distributions using patient-specific biological information
http://aip.metastore.ingenta.com/content/aapm/journal/medphys/35/10/10.1118/1.2975229
10.1118/1.2975229
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