WO2025133796 - RECONSTRUCTION OF A TRUNCATED MEDICAL IMAGE
National phase entry is expected:
Publication Number
WO/2025/133796
Publication Date
26.06.2025
International Application No.
PCT/IB2024/062232
International Filing Date
04.12.2024
Title **
[English]
RECONSTRUCTION OF A TRUNCATED MEDICAL IMAGE
[French]
RECONSTRUCTION D'UNE IMAGE MÉDICALE TRONQUÉE
Applicants **
NOVOCURE GMBH
Inventors
PELES ZEEVI, Oren
FELDMAN, Amit
Priority Data
63/613,796
22.12.2023
US
Application details
| Total Number of Claims/PCT | * |
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International Searching Authority |
EPO
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| Recordal of a Change of the Applicant's Name/Address |
Change of Applicant's Name and Address
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| Type of Assignment |
The Standard Agent's Assignment
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| Applicant's Legal Status |
Legal Entity
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| * | |
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| Entry into National Phase under |
Chapter I
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| Patent Delivery |
Send the Letters Patent by Courier
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| Translation |
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* The data is based on automatic recognition. Please verify and amend if necessary.
** IP-Coster compiles data from publicly available sources. If this data includes your personal information, you can contact us to request its removal.
Quotation for National Phase entry
| Country | Stages | Total | |
|---|---|---|---|
| China | Filing, Examination, Granting | 2114 | |
| EPO | Filing, Examination, Granting | 8533 | |
| Japan | Filing, Examination, Granting | 2181 | |
| South Korea | Filing, Examination, Granting | 2043 | |
| USA | Filing, Examination, Granting | 4740 |
Total:
19,611
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Abstract[English]
A method for reconstructing a truncated medical image includes: accessing from memory a medical image of a subject, the medical image comprising voxels; determining the medical image has a truncated portion of the subject, the voxels of the truncated portion having non-tissue image values; generating, using a trained machine learning model and the medical image, a reconstructed medical image, the trained machine learning model trained to generate a reconstructed medical image without truncation, the voxels of the reconstructed medical image in the truncated portion having tissue image values.[French]
Selon l'invention, un procédé de reconstruction d'une image médicale tronquée consiste à : accéder depuis une mémoire à une image médicale d'un sujet, l'image médicale comprenant des voxels ; déterminer que l'image médicale présente une partie tronquée du sujet, les voxels de la partie tronquée ayant des valeurs d'image non tissulaire ; générer, à l'aide d'un modèle d'apprentissage automatique entraîné et de l'image médicale, une image médicale reconstruite, le modèle d'apprentissage automatique entraîné étant entraîné pour générer une image médicale reconstruite sans troncature, les voxels de l'image médicale reconstruite dans la partie tronquée ayant des valeurs d'image tissulaire.