Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates

Christensen, Gary E.; Carlson, Blake; Chao, K. A.; Yin, Pen; Grigsby, Perry W.; Nguyễn, Kim; Dempsey, James F.; Lerma, F.; Bae, Kyongtae T.; Vannier, Michael W.; Williamson, Jeffrey F.

doi:10.1016/s0360-3016(01)01667-4

Cited by 110 publications

(89 citation statements)

References 24 publications

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“…In order to avoid significant underestimation of overall D2cc EQD2 values in clinical practice, it is recommended to simply obtain each patient's EBRT D2cc values of the rectum, bladder, and sigmoid from his or her EBRT plan instead of assuming a completely uniform prescription dose (the current DVH parameter addition) or exporting and processing dose DICOM files for each HDR plan (dose distribution (DVH EQD2 ) addition), which requires additional software. To more accurately estimate overall OAR doses by accounting for their locations, deformable image registration (DIR) techniques have been investigated 31, 32, 33, 34, 35…”

Section: Resultsmentioning

confidence: 99%

Patient's specific integration of OAR doses (D2 cc) from EBRT and 3D image‐guided brachytherapy for cervical cancer

Gelover

Katherine

Mart

et al. 2018

J Applied Clin Med Phys

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The objective of this study was to assess the recommended DVH parameter (e.g., D2 cc) addition method used for combining EBRT and HDR plans, against a reference dataset generated from an EQD2‐based DVH addition method. A revised DVH parameter addition method using EBRT DVH parameters derived from each patient's plan was proposed and also compared with the reference dataset. Thirty‐one biopsy‐proven cervical cancer patients who received EBRT and HDR brachytherapy were retrospectively analyzed. A parametrial and/or paraaortic EBRT boost were clinically performed on 13 patients. Ten IMRT and 21 3DCRT plans were determined. Two different HDR techniques for each HDR plan were analyzed. Overall D2 cc and D0.1 cc OAR doses in EQD2 were statistically analyzed for three different DVH parameter addition methods: a currently recommended method, a proposed revised method, and a reference DVH addition method. The overall D2 ccEQD 2 values for all rectum, bladder, and sigmoid for a conformal, volume optimization HDR plan generated using the current DVH parameter addition method were significantly underestimated on average −5 to −8% when compared to the values obtained from the reference DVH addition technique (P < 0.01). The revised DVH parameter addition method did not present statistical differences with the reference technique (P > 0.099). When PM boosts were considered, there was an even greater average underestimation of −8~−10% for overall OAR doses of conformal HDR plans when using the current DVH parameter addition technique as compared to the revised DVH parameter addition. No statistically significant differences were found between the 3DCRT and IMRT techniques (P > 0.3148). It is recommended that the overall D2 cc EBRT doses are obtained from each patient's EBRT plan.

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Section: Resultsmentioning

confidence: 99%

Patient's specific integration of OAR doses (D2 cc) from EBRT and 3D image‐guided brachytherapy for cervical cancer

Gelover

Katherine

Mart

et al. 2018

J Applied Clin Med Phys

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“…In [4] the viscous-fluid registration method is extended to include the use of landmark information. A hybrid model is presented in which regions of interest placed by doctors are converted to binary volumes.…”

Section: Viscous-fluid Registrationmentioning

confidence: 99%

“…6) is a field of body forces b( x, h iR ( x, t))). The body forces are designed to minimize the following SSD (sum of squared differences) cost function [4]:…”

Section: Driving Potentialmentioning

confidence: 99%

“…The α k values are weights describing the importance of the entries of T . The body forces are found as the Gâteaux-Differential of the cost function yielding [4]:…”

Section: Driving Potentialmentioning

confidence: 99%

“…This paper presents the implementation and initial evaluation of such a registration method. We reimplemented the viscous-fluid registration method by Christensen et al [4] on a parallel processor, the GPU. The main drawback of Christensens method has been very long computation times.…”

Section: Introductionmentioning

confidence: 99%

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GPU Accelerated Viscous-fluid Deformable Registration for Radiotherapy

Noe

Tanderup²,

Lindegaard³

et al. 2007

DPB

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In cancer treatment organ and tissue deformation between radiotherapy sessions represent a significant challenge to optimal planning and delivery of radiation doses. Recent developments in image guided radiotherapy has caused a sound request for more advanced approaches for image registration to handle these deformations. Viscous-fluid registration is one such deformable registration method. A drawback with this method has been that it has required computation times that were too long to make the approach clinically applicable. With recent advances in programmability of graphics hardware, complex user defined calculations can now be performed on consumer graphics cards (GPUs). This paper demonstrates that the GPU can be used to drastically reduce the time needed to register two medical 3D images using the viscous-fluid registration method. This facilitates an increased incorporation of image registration in radiotherapy treatment of cancer patients, potentially leading to more efficient treatment with less severe side effects.

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Dosimetric impact of deformable image registration using radiophotoluminescent glass dosimeters with a physical geometric phantom

Sakulsingharoj

Tanaka

Sato

et al. 2023

J Applied Clin Med Phys

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Purpose To study the dosimetry impact of deformable image registration (DIR) using radiophotoluminescent glass dosimeter (RPLD) and custom developed phantom with various inserts. Methods The phantom was developed to facilitate simultaneous evaluation of geometric and dosimetric accuracy of DIR. Four computed tomography (CT) images of the phantom were acquired with four different configurations. Four volumetric modulated arc therapy (VMAT) plans were computed for different phantom. Two different patterns were applied to combination of four phantom configurations. RPLD dose measurement was combined between corresponding two phantom configurations. DIR‐based dose accumulation was calculated between corresponding two CT images with two commercial DIR software and various DIR parameter settings, and an open source software. Accumulated dose calculated using DIR was then compared with measured dose using RPLD. Results The mean ± standard deviation (SD) of dose difference was 2.71 ± 0.23% (range, 2.22%–3.01%) for tumor‐proxy and 3.74 ± 0.79% (range, 1.56%–4.83%) for rectum‐proxy. The mean ± SD of target registration error (TRE) was 1.66 ± 1.36 mm (range, 0.03–4.43 mm) for tumor‐proxy and 6.87 ± 5.49 mm (range, 0.54–17.47 mm) for rectum‐proxy. These results suggested that DIR accuracy had wide range among DIR parameter setting. Conclusions The dose difference observed in our study was 3% for tumor‐proxy and within 5% for rectum‐proxy. The custom developed physical phantom with inserts showed potential for accurate evaluation of DIR‐based dose accumulation. The prospect of simultaneous evaluation of geometric and dosimetric DIR accuracy in a single phantom may be useful for validation of DIR for clinical use.

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Image-based dose planning of intracavitary brachytherapy: registration of serial-imaging studies using deformable anatomic templates

Cited by 110 publications

References 24 publications

Patient's specific integration of OAR doses (D2 cc) from EBRT and 3D image‐guided brachytherapy for cervical cancer

Patient's specific integration of OAR doses (D2 cc) from EBRT and 3D image‐guided brachytherapy for cervical cancer

GPU Accelerated Viscous-fluid Deformable Registration for Radiotherapy

Dosimetric impact of deformable image registration using radiophotoluminescent glass dosimeters with a physical geometric phantom

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