Processing multimodal images of tissue for medical evaluation
US-2022399114-A1 · Dec 15, 2022 · US
US12196830B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-12196830-B2 |
| Application number | US-202217870866-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jul 22, 2022 |
| Priority date | Jul 30, 2021 |
| Publication date | Jan 14, 2025 |
| Grant date | Jan 14, 2025 |
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An image processing method includes: extracting a candidate modality image to be visualized from a data group of a single or a plurality of modality images; first associating separate modality data referring to an extracted modality image, with the extracted modality image; uniquely determining an image to be visualized, based on the modality image extracted at the extracting and an association result of the first associating; second associating different modality data being not associated at the first associating, with the modality image extracted at the extracting; and displaying the different modality data on the modality image extracted at the extracting.
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What is claimed is: 1. An image processing method comprising: extracting a candidate modality image to be visualized from a data group of a single or a plurality of modality images; first associating separate modality data referring to an extracted modality image, with the extracted modality image; uniquely determining an image to be visualized, based on the modality image extracted at the extracting and an association result of the first associating; second associating different modality data being not associated at the first associating, with the modality image extracted at the extracting; and displaying the different modality data on the modality image extracted at the extracting. 2. The image processing method according to claim 1 , wherein the first associating includes associating an analysis time for which analysis with modality data referring to an extracted modality image is performed in advance, with the extracted modality image, and at the determining, the image is determined based on the analysis time. 3. The image processing method according to claim 1 , further comprising acquiring hardware information on a calculation device before the first associating, wherein the first associating further includes calculating an analysis time from a processing procedure with which analysis with modality data referring to an extracted modality image is performed in advance and from the hardware information acquired at the acquiring, and associating the analysis time, and at the determining, the image is determined based on the analysis time. 4. The image processing method according to claim 1 , wherein the first associating includes associating a reference time point number of modality data referring to the extracted modality image, and at the determining, the image is determined based on the reference time point number. 5. The image processing method according to claim 1 , wherein at the extracting, a modality image in which a surface shape of a cerebral cortex is extracted, is preferentially extracted. 6. The image processing method according to claim 1 , further comprising classifying the modality data by a modality recording method, before the second associating, wherein at the second associating, the different modality data being not associated at the first associating is associated with the modality image extracted at the extracting, by a different method for each of classifications at the classifying. 7. An image processing apparatus comprising: an image extraction unit configured to extract a candidate modality image to be visualized from a data group of a single or a plurality of modality images; a first association unit configured to associate separate modality data referring to an extracted modality image, with the extracted modality image; an image determination unit configured to uniquely determine an image to be visualized, based on the modality image extracted by the image extraction unit and an association result by the first association unit; a second association unit configured to associate different modality data being not associated by the first association unit, with the modality image extracted by the image extraction unit; and an image display unit configured to display the different modality data on the modality image extracted by the image extraction unit. 8. A non-transitory computer-readable medium including programmed instructions that cause a computer to execute: extracting a candidate modality image to be visualized from a data group of a single or a plurality of modality images; first associating separate modality data referring to an extracted modality image, with the extracted modality image; uniquely determining an image to be visualized, based on the modality image extracted at the extracting and an association result of the first associating; second associating different modality data being not associated at the first associating, with the modality image extracted at the extracting; and displaying the different modality data on the modality image extracted at the extracting.
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