scholarly journals Comparison of CT images with average intensity projection, free breathing, and mid-ventilation for dose calculation in lung cancer

2017 ◽  
Vol 18 (2) ◽  
pp. 26-36 ◽  
Author(s):  
Chirasak Khamfongkhruea ◽  
Sangutid Thongsawad ◽  
Chirapha Tannanonta ◽  
Sasikarn Chamchod
Keyword(s):  
Lung Cancer ◽  
Dose Calculation ◽  
Free Breathing ◽  
Ct Images ◽  
Average Intensity ◽  
Average Intensity Projection

Dosimetric comparison of treatment plans based on free breathing, maximum, and average intensity projection CTs for lung cancer SBRT

2012 ◽  
Vol 39 (5) ◽  
pp. 2754-2760 ◽  
Author(s):  
Yuan Tian ◽  
Zhiheng Wang ◽  
Hong Ge ◽  
Tian Zhang ◽  
Jing Cai ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Free Breathing ◽  
Average Intensity ◽  
Dosimetric Comparison ◽  
Average Intensity Projection ◽  
Treatment Plans

Contouring cardiac substructures on average intensity projection 4D-CT for lung cancer radiotherapy: a proposal of a heart valve contouring atlas

2022 ◽  
Author(s):  
Joanna Socha ◽  
Anna Rygielska ◽  
Beata Uziębło-Życzkowska ◽  
Justyna Chałubińska-Fendler ◽  
Agnieszka Jurek ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Heart Valve ◽  
Average Intensity ◽  
Cancer Radiotherapy ◽  
4D Ct ◽  
Average Intensity Projection

PO-1177 A heart valves contouring atlas on average intensity projection 4D-CT for lung cancer radiotherapy

2021 ◽  
Vol 161 ◽  
pp. S975-S977
Author(s):  
J. Socha ◽  
A. Rygielska ◽  
B. Uziębło-Życzkowska ◽  
J. Chałubińska-Fendler ◽  
A. Jurek ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Heart Valves ◽  
Average Intensity ◽  
Cancer Radiotherapy ◽  
4D Ct ◽  
Average Intensity Projection

scholarly journals Accuracy of dose calculation based on artefact corrected Cone Beam CT images of lung cancer patients

2017 ◽  
Vol 1 ◽  
pp. 6-11 ◽  
Author(s):  
Rune Slot Thing ◽  
Uffe Bernchou ◽  
Olfred Hansen ◽  
Carsten Brink
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Cone Beam Ct ◽  
Dose Calculation ◽  
Ct Images ◽  
Cone Beam ◽  
Lung Cancer Patients

Classification of methods for generating pseudo-CT from MRI images for MRI-alone RT

2017 ◽  
Vol 1 (3) ◽  
pp. 54
Author(s):  
BOUKELLOUZ Wafa ◽  
MOUSSAOUI Abdelouahab
Keyword(s):  
Performance Metrics ◽  
Radiation Treatment ◽  
Hybrid Methods ◽  
Dose Calculation ◽  
Absolute Error ◽  
Ct Images ◽  
General Technique ◽  
Therapy Field ◽  
The Brain

Background: Since the last decades, research have been oriented towards an MRI-alone radiation treatment planning (RTP), where MRI is used as the primary modality for imaging, delineation and dose calculation by assigning to it the needed electron density (ED) information. The idea is to create a computed tomography (CT) image or so-called pseudo-CT from MRI data. In this paper, we review and classify methods for creating pseudo-CT images from MRI data. Each class of methods is explained and a group of works in the literature is presented in detail with statistical performance. We discuss the advantages, drawbacks and limitations of each class of methods. Methods: We classified most recent works in deriving a pseudo-CT from MR images into four classes: segmentation-based, intensity-based, atlas-based and hybrid methods. We based the classification on the general technique applied in the approach. Results: Most of research focused on the brain and the pelvis regions. The mean absolute error (MAE) ranged from 80 HU to 137 HU and from 36.4 HU to 74 HU for the brain and pelvis, respectively. In addition, an interest in the Dixon MR sequence is increasing since it has the advantage of producing multiple contrast images with a single acquisition. Conclusion: Radiation therapy field is emerging towards the generalization of MRI-only RT thanks to the advances in techniques for generation of pseudo-CT images. However, a benchmark is needed to set in common performance metrics to assess the quality of the generated pseudo-CT and judge on the efficiency of a certain method.

scholarly journals Dosimetric impact of Acuros XB deterministic radiation transport algorithm for heterogeneous dose calculation in lung cancer

2013 ◽  
Vol 40 (5) ◽  
pp. 051710 ◽  
Author(s):  
Tao Han ◽  
David Followill ◽  
Justin Mikell ◽  
Roman Repchak ◽  
Andrea Molineu ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Radiation Transport ◽  
Dose Calculation ◽  
Acuros Xb
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