Use of a DVH overlay technique for quality assurance of deformable image registration‐based dose accumulation

2021 ◽  
Author(s):  
Kristofer Kainz ◽  
Juan Garcia Alvarez ◽  
Hualiang Zhong ◽  
Sara Lim ◽  
Ergun Ahunbay ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Image Registration ◽  
Deformable Image Registration ◽  
Dose Accumulation ◽  
Overlay Technique

scholarly journals Evaluation of deformable image registration (DIR) methods for dose accumulation in nasopharyngeal cancer patients during radiotherapy

2017 ◽  
Vol 51 (4) ◽  
pp. 438-446 ◽  
Author(s):  
Wannapha Nobnop ◽  
Imjai Chitapanarux ◽  
Hudsaleark Neamin ◽  
Somsak Wanwilairat ◽  
Vicharn Lorvidhaya ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Image Registration ◽  
Treatment Plan ◽  
Nasopharyngeal Cancer ◽  
Treatment Strategies ◽  
Deformable Image Registration ◽  
Organ Dose ◽  
Target Dose ◽  
Dose Accumulation ◽  
The Impact

Abstract Introduction Deformable image registration (DIR) is used to modify structures according to anatomical changes for observing the dosimetric effect. In this study, megavoltage computed tomography (MVCT) images were used to generate cumulative doses for nasopharyngeal cancer (NPC) patients by various DIR methods. The performance of the multiple DIR methods was analysed, and the impact of dose accumulation was assessed. Patients and methods The study consisted of five NPC patients treated with a helical tomotherapy unit. The weekly MVCT images at the 1st, 6th, 11th, 16th, 21st, 26th, and 31st fractions were used to assess the dose accumulation by the four DIR methods. The cumulative dose deviations from the initial treatment plan were analysed, and correlations of these variations with the anatomic changes and DIR methods were explored. Results The target dose received a slightly different result from the initial plan at the end of the treatment. The organ dose differences increased as the treatment progressed to 6.8% (range: 2.2 to 10.9%), 15.2% (range: -1.7 to 36.3%), and 6.4% (range: -1.6 to 13.2%) for the right parotid, the left parotid, and the spinal cord, respectively. The mean uncertainty values to estimate the accumulated doses for all the DIR methods were 0.21 ± 0.11 Gy (target dose), 1.99 ± 0.76 Gy (right parotid), 1.19 ± 0.24 Gy (left parotid), and 0.41 ± 0.04 Gy (spinal cord). Conclusions Accuracy of the DIR methods affects the estimation of dose accumulation on both the target dose and the organ dose. The DIR methods provide an adequate dose estimation technique for observation as a result of inter-fractional anatomic changes and are beneficial for adaptive treatment strategies.

PO-1535 Deformable image registration uncertainty for dose accumulation of proton therapy for H&N tumors

2021 ◽  
Vol 161 ◽  
pp. S1259-S1261
Author(s):  
F. Amstutz ◽  
P.G. D’Almeida ◽  
F. Albertini ◽  
L. Nenoff ◽  
D.C. Weber ◽  
...  
Keyword(s):  
Image Registration ◽  
Proton Therapy ◽  
Deformable Image Registration ◽  
Dose Accumulation

scholarly journals Evaluation of a deformable image registration quality assurance tool for head and neck cancer patients

2020 ◽  
Vol 67 (4) ◽  
pp. 284-293 ◽  
Author(s):  
Molly Mee ◽  
Kate Stewart ◽  
Marika Lathouras ◽  
Helen Truong ◽  
Catriona Hargrave
Keyword(s):  
Quality Assurance ◽  
Head And Neck Cancer ◽  
Image Registration ◽  
Head And Neck ◽  
Cancer Patients ◽  
Neck Cancer ◽  
Deformable Image Registration

Dose accumulation with deformable image registration method using helical tomotherapy images for prostate cancer

2019 ◽  
Vol 19 (1) ◽  
pp. 25-29
Author(s):  
Warit Thongsuk ◽  
Imjai Chitapanarux ◽  
Somsak Wanwilairat ◽  
Wannapha Nobnop
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Image Registration ◽  
Cancer Patients ◽  
Helical Tomotherapy ◽  
Deformable Image Registration ◽  
High Dose ◽  
Registration Method ◽  
Dose Accumulation ◽  
Dose Volume

AbstractPurpose:To evaluate changes of accumulated doses from an initial plan in each fraction by deformable image registration (DIR) with daily megavoltage computed tomography (MVCT) images from helical tomotherapy for prostate cancer patients.Materials and methods:The MVCT images of five prostate cancer patients were acquired by using a helical tomotherapy unit before the daily treatment fraction began. All images data were exported to DIR procedures by MIM software, in which the planned kilovoltage computed tomography (kVCT) images were acting as the source images with the daily MVCT acquired as the target images for registration. The automatic deformed structure was used to access the volume variation and daily dose accumulation to each structure. All dose-volume parameters were compared to the initial planned dose.Results:The actual median doses of the planning target volume (PTV) received 70 Gy and 50.4 Gy were decreased at the end of the treatment with an average 1·0 ± 0·67% and 2·1 ± 1·54%, respectively. As regards organs at risk (OARs), the bladder and rectum dose-volume parameters tended to increase from the initial plan. The high-dose regions of the bladder and rectum, however, were decreased from the initial plan at the end of the treatment.Conclusions:The daily actual dose differs from the initial planned dose. The accumulated dose of target tends to be lower than the initial plan, but tends to be higher than the initial plan for the OARs. Therefore, inter-fractional anatomic changes should be considered by the DIR methods, which would be useful as clinically informative and beneficial for adaptive treatment strategies.

A novel concept to include uncertainties in the evaluation of stereotactic body radiation therapy after 4D dose accumulation using deformable image registration

2019 ◽  
Vol 46 (10) ◽  
pp. 4346-4355
Author(s):  
Juan Diego Azcona ◽  
Carlos Huesa‐Berral ◽  
Marta Moreno‐Jiménez ◽  
Benigno Barbés ◽  
José Javier Aristu ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Image Registration ◽  
Stereotactic Body Radiation Therapy ◽  
Deformable Image Registration ◽  
Stereotactic Body Radiation ◽  
Dose Accumulation ◽  
Novel Concept

Biomechanical quality assurance criteria for deformable image registration algorithms used in radiotherapy guidance

2020 ◽  
Vol 65 (1) ◽  
pp. 015006 ◽  
Author(s):  
Cornel Zachiu ◽  
Baudouin Denis de Senneville ◽  
Bas W Raaymakers ◽  
Mario Ries
Keyword(s):  
Quality Assurance ◽  
Image Registration ◽  
Deformable Image Registration

Quantitative Analysis Tools and Digital Phantoms for Deformable Image Registration Quality Assurance

2014 ◽  
Vol 14 (4) ◽  
pp. 428-439 ◽  
Author(s):  
Haksoo Kim ◽  
Samuel B. Park ◽  
James I. Monroe ◽  
Bryan J. Traughber ◽  
Yiran Zheng ◽  
...  
Keyword(s):  
Quality Assurance ◽  
Quantitative Analysis ◽  
Image Registration ◽  
Deformable Image Registration ◽  
Analysis Tools ◽  
Digital Phantoms
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