On the Use of Artificial Intelligence for Dosimetry of Radiopharmaceutical Therapies
Thieme. All rights reserved..
Routine clinical dosimetry along with radiopharmaceutical therapies is key for future treatment personalization. However, dosimetry is considered complex and time-consuming with various challenges amongst the required steps within the dosimetry workflow. The general workflow for image-based dosimetry consists of quantitative imaging, the segmentation of organs and tumors, fitting of the time-activity-curves, and the conversion to absorbed dose. This work reviews the potential and advantages of the use of artificial intelligence to improve speed and accuracy of every single step of the dosimetry workflow.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:62 |
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| Enthalten in: |
Nuklearmedizin. Nuclear medicine - 62(2023), 6 vom: 12. Dez., Seite 379-388 |
| Sprache: |
Englisch |
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| Weiterer Titel: |
Über die Verwendung von künstlicher Intelligenz für die Dosimetrie radiopharmazeutischer Therapien |
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| Beteiligte Personen: |
Brosch-Lenz, Julia Franziska [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 27.11.2023 Date Revised 27.11.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1055/a-2179-6872 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
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| 520 | |a Thieme. All rights reserved. | ||
| 520 | |a Routine clinical dosimetry along with radiopharmaceutical therapies is key for future treatment personalization. However, dosimetry is considered complex and time-consuming with various challenges amongst the required steps within the dosimetry workflow. The general workflow for image-based dosimetry consists of quantitative imaging, the segmentation of organs and tumors, fitting of the time-activity-curves, and the conversion to absorbed dose. This work reviews the potential and advantages of the use of artificial intelligence to improve speed and accuracy of every single step of the dosimetry workflow | ||
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