Personalized brachytherapy dose reconstruction using deep learning
Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogen...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Akhavanallaf, Azadeh [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs - Tacheci, Ilja ELSEVIER, 2014, an international journal, Amsterdam [u.a.] |
|---|---|
| Übergeordnetes Werk: |
volume:136 ; year:2021 ; pages:0 |
| Links: |
|---|
| DOI / URN: |
10.1016/j.compbiomed.2021.104755 |
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| 520 | |a Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. | ||
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10.1016/j.compbiomed.2021.104755 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001983.pica (DE-627)ELV055329284 (ELSEVIER)S0010-4825(21)00549-7 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Akhavanallaf, Azadeh verfasserin aut Personalized brachytherapy dose reconstruction using deep learning 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. Heterogeneity correction Elsevier Deep learning Elsevier Monte Carlo Elsevier Brachytherapy Elsevier Dose reconstruction Elsevier Mohammadi, Reza oth Shiri, Isaac oth Salimi, Yazdan oth Arabi, Hossein oth Zaidi, Habib oth Enthalten in Elsevier Science Tacheci, Ilja ELSEVIER Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs 2014 an international journal Amsterdam [u.a.] (DE-627)ELV012617792 volume:136 year:2021 pages:0 https://doi.org/10.1016/j.compbiomed.2021.104755 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_120 GBV_ILN_257 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 136 2021 0 |
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10.1016/j.compbiomed.2021.104755 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001983.pica (DE-627)ELV055329284 (ELSEVIER)S0010-4825(21)00549-7 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Akhavanallaf, Azadeh verfasserin aut Personalized brachytherapy dose reconstruction using deep learning 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. Heterogeneity correction Elsevier Deep learning Elsevier Monte Carlo Elsevier Brachytherapy Elsevier Dose reconstruction Elsevier Mohammadi, Reza oth Shiri, Isaac oth Salimi, Yazdan oth Arabi, Hossein oth Zaidi, Habib oth Enthalten in Elsevier Science Tacheci, Ilja ELSEVIER Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs 2014 an international journal Amsterdam [u.a.] (DE-627)ELV012617792 volume:136 year:2021 pages:0 https://doi.org/10.1016/j.compbiomed.2021.104755 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_120 GBV_ILN_257 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 136 2021 0 |
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10.1016/j.compbiomed.2021.104755 doi /cbs_pica/cbs_olc/import_discovery/elsevier/einzuspielen/GBV00000000001983.pica (DE-627)ELV055329284 (ELSEVIER)S0010-4825(21)00549-7 DE-627 ger DE-627 rakwb eng 610 VZ 570 VZ BIODIV DE-30 fid 35.70 bkl 42.12 bkl 42.15 bkl Akhavanallaf, Azadeh verfasserin aut Personalized brachytherapy dose reconstruction using deep learning 2021 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. Heterogeneity correction Elsevier Deep learning Elsevier Monte Carlo Elsevier Brachytherapy Elsevier Dose reconstruction Elsevier Mohammadi, Reza oth Shiri, Isaac oth Salimi, Yazdan oth Arabi, Hossein oth Zaidi, Habib oth Enthalten in Elsevier Science Tacheci, Ilja ELSEVIER Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs 2014 an international journal Amsterdam [u.a.] (DE-627)ELV012617792 volume:136 year:2021 pages:0 https://doi.org/10.1016/j.compbiomed.2021.104755 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U FID-BIODIV SSG-OLC-PHA GBV_ILN_11 GBV_ILN_22 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_65 GBV_ILN_120 GBV_ILN_257 35.70 Biochemie: Allgemeines VZ 42.12 Biophysik VZ 42.15 Zellbiologie VZ AR 136 2021 0 |
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Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs |
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Sa1349 Impact of Water Load Test on the Gastric Myoelectric Activity in Experimental Pigs |
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eng |
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600 - Technology 500 - Science |
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2021 |
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Akhavanallaf, Azadeh |
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Elektronische Aufsätze |
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Akhavanallaf, Azadeh |
| doi_str_mv |
10.1016/j.compbiomed.2021.104755 |
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610 570 |
| title_sort |
personalized brachytherapy dose reconstruction using deep learning |
| title_auth |
Personalized brachytherapy dose reconstruction using deep learning |
| abstract |
Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. |
| abstractGer |
Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. |
| abstract_unstemmed |
Accurate calculation of the absorbed dose delivered to the tumor and normal tissues improves treatment gain factor, which is the major advantage of brachytherapy over external radiation therapy. To address the simplifications of TG-43 assumptions that ignore the dosimetric impact of medium heterogeneities, we proposed a deep learning (DL)-based approach, which improves the accuracy while requiring a reasonable computation time. |
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| title_short |
Personalized brachytherapy dose reconstruction using deep learning |
| url |
https://doi.org/10.1016/j.compbiomed.2021.104755 |
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true |
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Mohammadi, Reza Shiri, Isaac Salimi, Yazdan Arabi, Hossein Zaidi, Habib |
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Mohammadi, Reza Shiri, Isaac Salimi, Yazdan Arabi, Hossein Zaidi, Habib |
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10.1016/j.compbiomed.2021.104755 |
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