Segmentation in multi-energy ct data

Segmentation of multi-energy CT data, including data in three or more energy bands. A user is enabled to input one or more region indicators in displayed CT data. At least some data is labelled based on the region indicators. Feature vectors are created for at least some data elements, which are the...

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Bibliographische Detailangaben
Hauptverfasser:	BUTLER, Philip Howard, LINDEMAN, Robert, DE RUITER, Niels, KANITHI, Praveenkumar, BUTLER, Anthony Philip Howard
Format:	Patent
Sprache:	eng
Schlagworte:	CALCULATING COMPUTING COUNTING DIAGNOSIS ELECTRIC DIGITAL DATA PROCESSING HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE IDENTIFICATION IMAGE DATA PROCESSING OR GENERATION, IN GENERAL INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SURGERY
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Beschreibung
Zusammenfassung:	Segmentation of multi-energy CT data, including data in three or more energy bands. A user is enabled to input one or more region indicators in displayed CT data. At least some data is labelled based on the region indicators. Feature vectors are created for at least some data elements, which are then classified based on the labelled data elements and feature vectors. Feature vectors may be constructed using a Bag of Features or similar process. Classification may be performed using a Support Vector Machine classifier or other machine learning classifier.