Fluence map optimisation for prostate cancer intensity modulated radiotherapy planning using iterative solution method Article Swipe
YOU?
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· 2020
· Open Access
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· DOI: https://doi.org/10.2478/pjmpe-2020-0024
Here we projected a model-based IMRT treatment plan to produce the optimal radiation dosage by considering that the maximum amount of prescribed dose should be delivered to the target without affecting the surrounding healthy tissues especially the OARs. Fluence mapping is used for inverse planning. This suggested method can generate global minima for IMRT plans with reliable plan quality among diverse treatment planners and to provide better safety for significant parallel OARs in an effective way. The whole methodology is having the capability to handles various objectives and to generate effective treatment procedures as validated with illustrations on the CORT dataset. For the validation of our methodology, we have compared our result with the two other approaches for calculating the objectives based on dose-volume bounds and found that in our methodology dose across the prostate and lymph nodes is maximum and the time required for the convergence is minimum.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.2478/pjmpe-2020-0024
- https://www.sciendo.com/pdf/10.2478/pjmpe-2020-0024
- OA Status
- diamond
- Cited By
- 4
- References
- 29
- Related Works
- 10
- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W3120343533Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2478/pjmpe-2020-0024Digital Object Identifier
- Title
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Fluence map optimisation for prostate cancer intensity modulated radiotherapy planning using iterative solution methodWork title
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-12-01Full publication date if available
- Authors
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Pushpendra Singh, Supriya Tripathi, Raunak Kumar TamrakarList of authors in order
- Landing page
-
https://doi.org/10.2478/pjmpe-2020-0024Publisher landing page
- PDF URL
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https://www.sciendo.com/pdf/10.2478/pjmpe-2020-0024Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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diamondOpen access status per OpenAlex
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https://www.sciendo.com/pdf/10.2478/pjmpe-2020-0024Direct OA link when available
- Concepts
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Computer science, Radiation treatment planning, Plan (archaeology), Convergence (economics), Maxima and minima, Medical physics, Prostate cancer, Radiation therapy, Nuclear medicine, Mathematical optimization, Cancer, Medicine, Mathematics, Radiology, Mathematical analysis, Economics, History, Economic growth, Archaeology, Internal medicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
4Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2024: 3Per-year citation counts (last 5 years)
- References (count)
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29Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| corresponding_author_ids | https://openalex.org/A5028987835 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 3 |
| corresponding_institution_ids | https://openalex.org/I4210121466 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.194746 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |