SU-GG-J-13: A New Self-Consistent Inverse Deformation Field Generator and Its Applications

Yan, Chenyu; Zhong, Hualiang; Murphy, M; Weiss, Elisabeth; Siebers, Jeffrey V.

doi:10.1118/1.2961570

Cited by 1 publication

(3 citation statements)

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“…Consequently, making a general comparison between DIM and EMCM without involving the effect of the DVF’s self-inverse inconsistencies is difficult. To address this issue, we employed a self-consistent inverse DVF generation technique so that EMCM and EBDI can be compared with other DIMs in clinical CT images (Yan et al 2008). …”

Section: Methodsmentioning

confidence: 99%

“…The implementation details of the method to create the inverse-consistent DVF is described in (Yan et al 2008). To allow comparison of the TDI with EMCM, the DVF used in TDI is generated from the EMCM’s DVF using the inverse-DVF generation technique.…”

Section: Methodsmentioning

confidence: 99%

“…Since the image registrations in TDI and EMCM are performed in opposite directions, to validly compare their results, the DVFs utilized must be inversely consistent, i.e., the composition of their back-and-forth mappings should be an identity mapping. The implementation details of the method to create the inverse-consistent DVF is described in (Yan et al 2008). To allow comparison of the TDI with EMCM, the DVF used in TDI is generated from the EMCM's DVF using the inverse-DVF generation technique.…”

Section: Tdimentioning

confidence: 99%

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Monte Carlo dose mapping on deforming anatomy

Zhong

Siebers

2009

Phys. Med. Biol.

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This paper proposes a Monte Carlo-based energy and mass congruent mapping (EMCM) method to calculate the dose on deforming anatomy. Different from dose interpolation methods, EMCM separately maps each voxel's deposited energy and mass from a source image to a reference image with a displacement vector field (DVF) generated by deformable image registration (DIR). EMCM was compared with other dose mapping methods: energy-based dose interpolation (EBDI) and trilinear dose interpolation (TDI). These methods were implemented in EGSnrc/DOSXYZnrc, validated using a numerical deformable phantom and compared for clinical CT images. On the numerical phantom with an analytically invertible deformation map, EMCM mapped the dose exactly the same as its analytic solution, while EBDI and TDI had average dose errors of 2.5% and 6.0%. For a lung patient's IMRT treatment plan, EBDI and TDI differed from EMCM by 1.96% and 7.3% in the lung patient's entire dose region, respectively. As a 4D Monte Carlo dose calculation technique, EMCM is accurate and its speed is comparable to 3D Monte Carlo simulation. This method may serve as a valuable tool for accurate dose accumulation as well as for 4D dosimetry QA.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Tdimentioning

confidence: 99%

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