[특허]Context driven image mining to generate image-based biomarkers

Context driven image mining to generate image-based biomarkers 원문보기

IPC분류정보
국가/구분	United States(US) Patent 등록
국제특허분류(IPC7판)	G06T-007/00 G06K-009/62
출원번호	US-0067932 (2013-10-30)
등록번호	US-9245337 (2016-01-26)
우선권정보	DE-102 48 013 (2002-10-15); DE-10 2005 016 290 (2005-04-08)
발명자 / 주소	Schmidt, Guenter Binnig, Gerd Schoenmeyer, Ralf Schaepe, Arno
출원인 / 주소	Definiens AG
대리인 / 주소	Imperium Patent Works
인용정보	피인용 횟수 : 0 인용 특허 : 38

초록 ▼

An image-based biomarker is generated using image features obtained through object-oriented image analysis of medical images. The values of a first subset of image features are measured and weighted. The weighted values of the image features are summed to calculate the magnitude of a first image-based biomarker. The magnitude of the biomarker for each patient is correlated with a clinical endpoint, such as a survival time, that was observed for the patient whose medical images were analyzed. The correlation is displayed on a graphical user interface as a scatter plot. A second subset of image features is selected that belong to a second image-based biomarker such that the magnitudes of the second image-based biomarker for the patients better correlate with the clinical endpoints observed for those patients. The second biomarker can then be used to predict the clinical endpoint of other patients whose clinical endpoints have not yet been observed.

대표청구항 ▼

1. A method comprising: generating a plurality of image objects by segmenting a digital image using object-oriented image analysis;selecting selected image objects from among the plurality of image objects;displaying one of the selected image objects on a graphical user interface;determining a value of each of a subset of image features of the plurality of image objects, wherein the subset of image features constitutes a custom image-based biomarker;calculating magnitudes of the custom image-based biomarker for each of the plurality of image objects; andchanging the image features included in the subset of image features such that magnitudes of the custom image-based biomarker for the selected image objects are greater than the magnitudes of the custom image-based biomarker for image objects other than the selected image objects. 2. The method of claim 1, further comprising: searching a database of digital images for which magnitudes of the customer image-based biomarker have been calculated for image objects in the digital images and identifying identified digital images that include matched image objects for which the magnitudes of the custom image-based biomarker are greater than the magnitudes of the custom image-based biomarker for image objects in the identified digital images other than the matched image objects. 3. The method of claim 2, further comprising: retrieving an indication of the medical condition of patients associated with the identified digital images. 4. The method of claim 2, further comprising: displaying a list of the identified digital images. 5. The method of claim 1, wherein the calculating the magnitudes of the custom image-based biomarker involves weighting each value of each image feature of each subset and summing all of the weighted values of the image features in the subset. 6. The method of claim 1, wherein the digital image is a medical image of a patient. 7. The method of claim 1, wherein the selected image objects are manually selected by a clinical expert. 8. The method of claim 1, wherein the selected image objects are generated from within regions of interest in the digital image, and wherein the regions of interest depict cancerous tissue identified by a pathologist. 9. The method of claim 1, wherein the selected image objects correspond to human tissue taken from the group consisting of: tumor cells, lung cells and lymph nodes. 10. The method of claim 1, wherein the digital image is acquired by a computed tomography (CT) system. 11. The method of claim 1, wherein the digital image is acquired by a digital pathology slide scanner. 12. The method of claim 1, wherein the digital image depicts tissue stained using immunohistochemistry, and wherein antibodies are used to measure protein expression in the stained tissue. 13. The method of claim 1, wherein the digital image depicts tissue stained using fluorescence in situ hybridization (FISH), and wherein genetic markers are used to measure gene amplification in the tissue. 14. A method comprising: generating image objects by segmenting first digital images of tissue using object-oriented image analysis, wherein the tissue is taken from a first patient;determining a value of each of a first subset of image features of the image objects, wherein the image features of the first subset belong to a first custom biomarker;calculating a magnitude of the first custom biomarker for each of the first digital images based on the values of the first subset of image features for the image objects in the first digital images; andselecting a second subset of image features that belong to a second custom biomarker such that the magnitude of the second custom biomarker for each of the first digital images is greater than the magnitude of the first custom biomarker for each of the first digital images. 15. The method of claim 14, wherein the calculating the magnitude of the first custom biomarker involves weighting each value of each image feature of the first subset and summing all of the weighted values of the image features in the first subset. 16. The method of claim 14, further comprising: modifying how the value of each image feature in the second subset is weighted such that the magnitude of the second custom biomarker for each of the first digital images increases. 17. The method of claim 14, further comprising: searching a database of second digital images for which magnitudes of the second customer biomarker have been calculated and identifying matched digital images for which the magnitudes of the second custom biomarker are greater than the magnitudes of the second custom biomarker for the first digital images. 18. The method of claim 17, further comprising: displaying a list of the matched digital images. 19. The method of claim 17, further comprising: retrieving an indication of the medical condition of patients associated with the matched digital images. 20. The method of claim 14, further comprising: saving the second custom biomarker on a computer-readable medium.

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IPC	Description
A	생활필수품
A62	인명구조; 소방(사다리 E06C)
A62B	인명구조용의 기구, 장치 또는 방법(특히 의료용에 사용되는 밸브 A61M 39/00; 특히 물에서 쓰이는 인명구조 장치 또는 방법 B63C 9/00; 잠수장비 B63C 11/00; 특히 항공기에 쓰는 것, 예. 낙하산, 투출좌석 B64D; 특히 광산에서 쓰이는 구조장치 E21F 11/00)
A62B-1/08	.. 윈치 또는 풀리에 제동기구가 있는 것

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연합인증

Context driven image mining to generate image-based biomarkers 원문보기

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Context driven image mining to generate image-based biomarkers 원문보기

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