Validation of a dose warping algorithm using clinically realistic scenarios

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Validation of a dose warping algorithm using clinically realistic scenarios. / Roussakis, Y G; Dehghani, H; Green, S; Webster, G J.

In: British Journal of Radiology, Vol. 88, No. 1049, 20140691, 01.05.2015.

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@article{15ef707478114013857c205df6ff0adc,
title = "Validation of a dose warping algorithm using clinically realistic scenarios",
abstract = "OBJECTIVE: Dose warping following deformable image registration (DIR) has been proposed for interfractional dose accumulation. Robust evaluation workflows are vital to clinically implement such procedures. This study demonstrates such a workflow and quantifies the accuracy of a commercial DIR algorithm for this purpose under clinically realistic scenarios. METHODS: 12 head and neck (H&N) patient data sets were used for this retrospective study. For each case, four clinically relevant anatomical changes have been manually generated. Dose distributions were then calculated on each artificially deformed image and warped back to the original anatomy following DIR by a commercial algorithm. Spatial registration was evaluated by quantitative comparison of the original and warped structure sets, using conformity index and mean distance to conformity (MDC) metrics. Dosimetric evaluation was performed by quantitative comparison of the dose-volume histograms generated for the calculated and warped dose distributions, which should be identical for the ideal {"}perfect{"} registration of mass-conserving deformations. RESULTS: Spatial registration of the artificially deformed image back to the planning CT was accurate (MDC range of 1-2 voxels or 1.2-2.4 mm). Dosimetric discrepancies introduced by the DIR were low (0.02 ± 0.03 Gy per fraction in clinically relevant dose metrics) with no statistically significant difference found (Wilcoxon test, 0.6 ≥ p ≥ 0.2). CONCLUSION: The reliability of CT-to-CT DIR-based dose warping and image registration was demonstrated for a commercial algorithm with H&N patient data. ADVANCES IN KNOWLEDGE: This study demonstrates a workflow for validation of dose warping following DIR that could assist physicists and physicians in quantifying the uncertainties associated with dose accumulation in clinical scenarios.",
author = "Roussakis, {Y G} and H Dehghani and S Green and Webster, {G J}",
year = "2015",
month = may,
day = "1",
doi = "10.1259/bjr.20140691",
language = "English",
volume = "88",
journal = "British Journal of Radiology",
issn = "0007-1285",
publisher = "British Institute of Radiology",
number = "1049",

}

RIS

TY - JOUR

T1 - Validation of a dose warping algorithm using clinically realistic scenarios

AU - Roussakis, Y G

AU - Dehghani, H

AU - Green, S

AU - Webster, G J

PY - 2015/5/1

Y1 - 2015/5/1

N2 - OBJECTIVE: Dose warping following deformable image registration (DIR) has been proposed for interfractional dose accumulation. Robust evaluation workflows are vital to clinically implement such procedures. This study demonstrates such a workflow and quantifies the accuracy of a commercial DIR algorithm for this purpose under clinically realistic scenarios. METHODS: 12 head and neck (H&N) patient data sets were used for this retrospective study. For each case, four clinically relevant anatomical changes have been manually generated. Dose distributions were then calculated on each artificially deformed image and warped back to the original anatomy following DIR by a commercial algorithm. Spatial registration was evaluated by quantitative comparison of the original and warped structure sets, using conformity index and mean distance to conformity (MDC) metrics. Dosimetric evaluation was performed by quantitative comparison of the dose-volume histograms generated for the calculated and warped dose distributions, which should be identical for the ideal "perfect" registration of mass-conserving deformations. RESULTS: Spatial registration of the artificially deformed image back to the planning CT was accurate (MDC range of 1-2 voxels or 1.2-2.4 mm). Dosimetric discrepancies introduced by the DIR were low (0.02 ± 0.03 Gy per fraction in clinically relevant dose metrics) with no statistically significant difference found (Wilcoxon test, 0.6 ≥ p ≥ 0.2). CONCLUSION: The reliability of CT-to-CT DIR-based dose warping and image registration was demonstrated for a commercial algorithm with H&N patient data. ADVANCES IN KNOWLEDGE: This study demonstrates a workflow for validation of dose warping following DIR that could assist physicists and physicians in quantifying the uncertainties associated with dose accumulation in clinical scenarios.

AB - OBJECTIVE: Dose warping following deformable image registration (DIR) has been proposed for interfractional dose accumulation. Robust evaluation workflows are vital to clinically implement such procedures. This study demonstrates such a workflow and quantifies the accuracy of a commercial DIR algorithm for this purpose under clinically realistic scenarios. METHODS: 12 head and neck (H&N) patient data sets were used for this retrospective study. For each case, four clinically relevant anatomical changes have been manually generated. Dose distributions were then calculated on each artificially deformed image and warped back to the original anatomy following DIR by a commercial algorithm. Spatial registration was evaluated by quantitative comparison of the original and warped structure sets, using conformity index and mean distance to conformity (MDC) metrics. Dosimetric evaluation was performed by quantitative comparison of the dose-volume histograms generated for the calculated and warped dose distributions, which should be identical for the ideal "perfect" registration of mass-conserving deformations. RESULTS: Spatial registration of the artificially deformed image back to the planning CT was accurate (MDC range of 1-2 voxels or 1.2-2.4 mm). Dosimetric discrepancies introduced by the DIR were low (0.02 ± 0.03 Gy per fraction in clinically relevant dose metrics) with no statistically significant difference found (Wilcoxon test, 0.6 ≥ p ≥ 0.2). CONCLUSION: The reliability of CT-to-CT DIR-based dose warping and image registration was demonstrated for a commercial algorithm with H&N patient data. ADVANCES IN KNOWLEDGE: This study demonstrates a workflow for validation of dose warping following DIR that could assist physicists and physicians in quantifying the uncertainties associated with dose accumulation in clinical scenarios.

U2 - 10.1259/bjr.20140691

DO - 10.1259/bjr.20140691

M3 - Article

C2 - 25791569

VL - 88

JO - British Journal of Radiology

JF - British Journal of Radiology

SN - 0007-1285

IS - 1049

M1 - 20140691

ER -