ArticleJournal of applied clinical medical physics2020
Methodological approach to create an atlas using a commercial auto-contouring software.
Article in Journal of applied clinical medical physics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Automatic segmentation of cone beam CT images using treatment planning CT images in patients with prostate cancer.Radiological physics and technology · 2025Article
- Characterizing geometrical distortions in MRI for radiotherapy: Evaluating MR-SIM protocols and dose accuracy in stereotactic radiosurgery using AAPM TG-284 criteria.Journal of applied clinical medical physics · 2025Article
- Comparison of commercial atlas-based automatic segmentation software for prostate radiotherapy treatment planning.Physical and engineering sciences in medicine · 2024Article
- Evaluation of manual and automated approaches for segmentation and extraction of quantitative indices from [Biomedical physics & engineering express · 2024Article
- Evaluation of Atlas-based auto-segmentation of liver in MR images for Yttrium-90 selective internal radiation therapy.Journal of applied clinical medical physics · 2023Article
- Comparison of Eclipse Smart Segmentation and MIM Atlas Segment for liver delineation for yttrium-90 selective internal radiation therapy.Journal of applied clinical medical physics · 2022Article
- Clinical validation of an automatic atlas-based segmentation tool for male pelvis CT images.Journal of applied clinical medical physics · 2022Article
- The clinical evaluation of atlas-based auto-segmentation for automatic contouring during cervical cancer radiotherapy.Frontiers in oncology · 2022Article
- Clinical Validation of Siemens' Syngo.via Automatic Contouring System.Advances in radiation oncologyArticle
- Deep Learning-Based Auto-Segmentation for Liver Yttrium-90 Selective Internal Radiation Therapy.Technology in cancer research & treatmentArticle
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12 authors.
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Abstract
purposeThe aim of this work was to establish a methodological approach for creation and optimization of an atlas for auto-contouring, using the commercial software MIM MAESTRO (MIM Software Inc. Cleveland OH).
methodsA computed tomography (CT) male pelvis atlas was created and optimized to evaluate how different tools and options impact on the accuracy of automatic segmentation. Pelvic lymph nodes (PLN), rectum, bladder, and femurs of 55 subjects were reviewed for consistency by a senior consultant radiation oncologist with 15 yr of experience. Several atlas and workflow options were tuned to optimize the accuracy of auto-contours. The deformable image registration (DIR), the finalization method, the k number of atlas best matching subjects, and several post-processing options were studied. To test our atlas performances, automatic and reference manual contours of 20 test subjects were statistically compared based on dice similarity coefficient (DSC) and mean distance to agreement (MDA) indices. The effect of field of view (FOV) reduction on auto-contouring time was also investigated.
resultsWith the optimized atlas and workflow, DSC and MDA median values of bladder, rectum, PLN, and femurs were 0.91 and 1.6 mm, 0.85 and 1.6 mm, 0.85 and 1.8 mm, and 0.96 and 0.5 mm, respectively. Auto-contouring time was more than halved by strictly cropping the FOV of the subject to be contoured to the pelvic region.
conclusionA statistically significant improvement of auto-contours accuracy was obtained using our atlas and optimized workflow instead of the MIM Software pelvic atlas.
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