scholarly journals Esophagus Segmentation from 3D CT Data Using Skeleton Prior-Based Graph Cut

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Damien Grosgeorge ◽  
Caroline Petitjean ◽  
Bernard Dubray ◽  
Su Ruan
Keyword(s):  
Organs At Risk ◽  
Graph Cut ◽  
Original Method ◽  
3D Segmentation ◽  
Radiotherapy Treatment Planning ◽  
Shape Model ◽  
Low Contrast ◽  
Thoracic Ct ◽  
Ct Data ◽  
Radiotherapy Treatment

The segmentation of organs at risk in CT volumes is a prerequisite for radiotherapy treatment planning. In this paper, we focus on esophagus segmentation, a challenging application since the wall of the esophagus, made of muscle tissue, has very low contrast in CT images. We propose in this paper an original method to segment in thoracic CT scans the 3D esophagus using a skeleton-shape model to guide the segmentation. Our method is composed of two steps: a 3D segmentation by graph cut with skeleton prior, followed by a 2D propagation. Our method yields encouraging results over 6 patients.

scholarly journals Assessment of ct simulators used in radiotherapy treatment planning in Serbia, Croatia and Bosnia and Herzegovina

2021 ◽  
pp. 9-9
Author(s):  
Borislava Petrovic ◽  
Dario Faj ◽  
Mladen Markovic ◽  
Arpad Tot ◽  
Milana Marjanovic ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Bosnia And Herzegovina ◽  
Field Of View ◽  
Radiotherapy Treatment Planning ◽  
Standard Field ◽  
Extended Field ◽  
The Mean ◽  
Ct Data ◽  
Radiotherapy Treatment ◽  
Extended Field Of View

The purpose of this work was to evaluate computed tomography (CT) simulators used in radiotherapy treatment planning in Serbia, Croatia and Bosnia and Herzegovina. A survey of quality assurance programmes of 24 CT simulators in 16 facilities was conducted. Dedicated CT-to-ED phantom was scanned at 120 kV and 140 kV, to obtain CT-to-ED (ED- Electron Density) conversion curves as well as CTDIvol. Thoracal phantoms were scanned in standard and extended field of view to evaluate dosimetric effect on treatment planning and delivery. Mean age of measured scanners was 5.5 years. The mean water HU value was -6.5 (all scanners, all voltages) and air HU value was -997. Extended field of view CT data differ from standard field of view and differences between conversion curves have significant dosimetric impact. The CTDI data showed large range of values between centers. Better QA of CT simulators in all countries is recommended. CT-to-ED curve could be used as default at one voltage and per manufacturer. Extended field of view imaging can be used, but treatment planning should be avoided in the regions out of standard field of view.

scholarly journals Assessment of MRI-Based Attenuation Correction for MRI-Only Radiotherapy Treatment Planning of the Brain

Diagnostics ◽  
2020 ◽  
Vol 10 (5) ◽  
pp. 299
Author(s):  
Iiro Ranta ◽  
Jarmo Teuho ◽  
Jani Linden ◽  
Riku Klén ◽  
Mika Teräs ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Attenuation Correction ◽  
Organs At Risk ◽  
External Beam Radiation ◽  
Dice Similarity Coefficient ◽  
Radiotherapy Treatment Planning ◽  
Beam Radiation ◽  
Dose Comparison ◽  
The Brain ◽  
Radiotherapy Treatment

Magnetic resonance imaging-only radiotherapy treatment planning (MRI-only RTP) and positron emission tomography (PET)–MRI imaging require generation of synthetic computed tomography (sCT) images from MRI images. In this study, initial dosimetric evaluation was performed for a previously developed MRI-based attenuation correction (MRAC) method for use in MRI-only RTP of the brain. MRAC-based sCT images were retrospectively generated from Dixon MR images of 20 patients who had previously received external beam radiation therapy (EBRT). Bone segmentation performance and Dice similarity coefficient of the sCT conversion method were evaluated for bone volumes on CT images. Dose calculation accuracy was assessed by recalculating the CT-based EBRT plans using the sCT images as the base attenuation data. Dose comparison was done for the sCT- and CT-based EBRT plans in planning target volume (PTV) and organs at risk (OAR). Parametric dose comparison showed mean relative differences of <0.4% for PTV and <1.0% for OARs. Mean gamma index pass rates of 95.7% with the 2%/2 mm agreement criterion and 96.5% with the 1%/1 mm agreement criterion were determined for glioma and metastasis patients, respectively. Based on the results, MRI-only RTP using sCT images generated from MRAC images can be a feasible alternative for radiotherapy of the brain.

Minimal point volumetric outlining and editing for radiotherapy treatment planning

2017 ◽  
Vol 16 (3) ◽  
pp. 280-285
Author(s):  
Pete Bridge ◽  
Andrew Fielding ◽  
Pamela Rowntree ◽  
Andrew Pullar
Keyword(s):  
Three Dimensional ◽  
Radiotherapy Planning ◽  
Minimal Point ◽  
3D Segmentation ◽  
Radiotherapy Treatment Planning ◽  
Time Saving ◽  
Future Work ◽  
Mean Time ◽  
Radiotherapy Treatment

AbstractPurposeA novel radiotherapy outlining application uses a small number of user-assigned points across orthogonal planes to generate a mesh which is then edited across multiple slices using innovative three-dimensional (3D) sculpting tools. This paper presents the results of a bladder outlining study that compared times and volumes for the new tool with those of a conventional manual outlining tool.Materials and methodsAll students undertaking their first University radiotherapy planning module were invited to participate. Following training, they performed a timed outlining of the same male bladder dataset and provided feedback on their preferred method.ResultsComparison of times from the resulting ten datasets demonstrated that the 3D segmentation tool was significantly faster than conventional software with a mean time of 11·9 minutes compared with 19·2 minutes (p=0·03). The users expressed a preference for the new tool (eight users) over the conventional outlining software (two users).ConclusionsA minimal point 3D volumetric manual outlining tool utilising orthogonal computed tomography planes demonstrated significant time saving for bladder segmentation compared with axial-based outlining within a group of novice outliners. Future work aims to establish the role of the 3D multi-slice sculpting tools in editing of auto-segmentation derived contour sets.

Physical radiotherapy treatment planning based on functional PET/CT data

2010 ◽  
Vol 96 (3) ◽  
pp. 317-324 ◽  
Author(s):  
Daniela Thorwarth ◽  
Xavier Geets ◽  
Marta Paiusco
Keyword(s):  
Treatment Planning ◽  
Radiotherapy Treatment Planning ◽  
Pet Ct ◽  
Ct Data ◽  
Radiotherapy Treatment

scholarly journals Study Design: Validation of clinical acceptability of deep-learning-based automated segmentation of organs-at-risk for head-and-neck radiotherapy treatment planning

2021 ◽  
Author(s):  
Aman Anand ◽  
Chris J. Beltran ◽  
Mark D. Brooke ◽  
Justine R. Buroker ◽  
Todd A. DeWees ◽  
...  
Keyword(s):  
At Risk ◽  
Deep Learning ◽  
Retrospective Study ◽  
Treatment Planning ◽  
Organs At Risk ◽  
Automated Segmentation ◽  
Radiotherapy Treatment Planning ◽  
Design Validation ◽  
Head And Neck Radiotherapy ◽  
Radiotherapy Treatment

AbstractThis document reports the design of a retrospective study to validate the clinical acceptability of a deep-learning-based model for the autosegmentation of organs-at-risk (OARs) for use in radiotherapy treatment planning for head & neck (H&N) cancer patients.

Delineation of organs at risk involved in swallowing for radiotherapy treatment planning

2011 ◽  
Vol 101 (3) ◽  
pp. 394-402 ◽  
Author(s):  
Miranda E.M.C. Christianen ◽  
Johannes A. Langendijk ◽  
Henriëtte E. Westerlaan ◽  
Tara A. van de Water ◽  
Hendrik P. Bijl
Keyword(s):  
At Risk ◽  
Treatment Planning ◽  
Organs At Risk ◽  
Radiotherapy Treatment Planning ◽  
Radiotherapy Treatment

The use of aperture shape controller and convergence mode in radiotherapy treatment planning

2020 ◽  
pp. 1-8
Author(s):  
Maija Rossi ◽  
Eeva Boman
Keyword(s):  
Organs At Risk ◽  
Volumetric Modulated Arc Therapy ◽  
Target Volume ◽  
Minor Effect ◽  
Plan Quality ◽  
Radiotherapy Treatment Planning ◽  
Varian Medical System ◽  
Arc Therapy ◽  
Very High ◽  
Radiotherapy Treatment

Abstract Aim: Studying the use of Aperture Shape Controller (ASC) and Convergence Mode (CM) in Eclipse (Varian Medical System) in terms of plan quality and complexity of volumetric modulated arc therapy (VMAT). Materials and methods: Forty VMAT plans were re-optimised for the prostate, prostate + lymph nodes, breast and head & neck patients retrospectively, changing the ASC settings (off, moderate, very high) and CM settings (off, on and extended). Results: Using ‘on’ or ‘extended’ CM increased plan quality in terms of planning target volume homogeneity and low-dose spread to the organs at risk (OAR). ‘Extended’ CM increased the optimisation time 4·3-fold compared to ‘on’, and deteriorated the plan quality in several simple planning cases. ‘Moderate’ ASC decreased plan complexity with minor effect on plan quality compared to ‘off’, but ‘very high’ ASC had larger adverse dosimetric effects. However, the ASC decreased the plan complexity only if the CM was turned ‘on’. Findings: Using ‘on’ CM increases the plan quality but using ‘extended’ CM is not recommended. The ‘moderate’ ASC decreased complexity without significant adverse effects on plan quality, and even ‘very high’ ASC may be used when plan simplicity is prioritised. However, if CM is not used, the ASC should also be turned off.

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