COMPUTER IMPLEMENTED METHOD FOR ESTIMATING LUNG PERFUSION FROM THORACIC COMPUTED TOMOGRAPHY IMAGES
A computer implemented method is disclosed for estimating lung perfusion from CT images. It includes providing a CT image of at least a part of the lung, in particular 5 a CT scan taken at inspiration, and even more particularly a non-contrast CT scan taken at inspiration, and providing the CT image to a trained computer implemented algorithm to estimate lung perfusion based on the CT image. The computer implemented algorithm is trained by providing a set of CT images from at least a part of the lung, in particular a CT scan taken at inspiration, and even more particularly a 10 non-contrast CT scan taken at inspiration. The method includes providing perfusion information corresponding to the CT image, and training the computer implemented algorithm to learn to estimate perfusion in a CT image based on the reference perfusion information provided during training..
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Patent| Erscheinungsjahr: |
2021 |
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| Erschienen: |
2021 |
| Enthalten in: |
Europäisches Patentamt - (2021) vom: 18. März Zur Gesamtaufnahme - year:2021 |
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| Sprache: |
Englisch |
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| Beteiligte Personen: |
VAN RIKXOORT EVA MARJOLEIN [VerfasserIn] |
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| Links: |
Volltext [kostenfrei] |
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| Anmerkungen: |
Source: www.epo.org (no modifications made), First posted: 2021-03-18, Last update posted on www.tib.eu: 2023-12-11, Last updated: 2023-12-15 |
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| Patentnummer: |
AU2020223720 |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
EPA011493739 |
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| 520 | |a A computer implemented method is disclosed for estimating lung perfusion from CT images. It includes providing a CT image of at least a part of the lung, in particular 5 a CT scan taken at inspiration, and even more particularly a non-contrast CT scan taken at inspiration, and providing the CT image to a trained computer implemented algorithm to estimate lung perfusion based on the CT image. The computer implemented algorithm is trained by providing a set of CT images from at least a part of the lung, in particular a CT scan taken at inspiration, and even more particularly a 10 non-contrast CT scan taken at inspiration. The method includes providing perfusion information corresponding to the CT image, and training the computer implemented algorithm to learn to estimate perfusion in a CT image based on the reference perfusion information provided during training. | ||
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