Source: http://www.google.com/patents/US6925199?ie=ISO-8859-1&dq=5927278
Timestamp: 2014-10-26 04:36:18
Document Index: 673229607

Matched Legal Cases: ['art 16', 'art 18', 'art 20', 'art 22', 'art 16', 'art 18', 'art 16', 'art 20']

Patent US6925199 - Computer readable recording medium recorded with diagnosis supporting ... - Google PatentsSearch Images Maps Play YouTube News Gmail Drive More »Sign inAdvanced Patent SearchPatentsA computer readable recording medium recorded with a diagnosis supporting program, a diagnosis supporting apparatus and a diagnosis supporting method, enabling to retrieve similar disease cases making use of feature quantities of CT images and/or MRI images when interpreting such images, to thereby allow...http://www.google.com/patents/US6925199?utm_source=gb-gplus-sharePatent US6925199 - Computer readable recording medium recorded with diagnosis supporting program, diagnosis supporting apparatus and diagnosis supporting methodAdvanced Patent SearchPublication numberUS6925199 B2Publication typeGrantApplication numberUS 09/818,549Publication dateAug 2, 2005Filing dateMar 28, 2001Priority dateNov 29, 2000Fee statusPaidAlso published asUS20020065460Publication number09818549, 818549, US 6925199 B2, US 6925199B2, US-B2-6925199, US6925199 B2, US6925199B2InventorsKohei MuraoOriginal AssigneeFujitsu LimitedExport CitationBiBTeX, EndNote, RefManPatent Citations (3), Non-Patent Citations (3), Referenced by (14), Classifications (11), Legal Events (4) External Links: USPTO, USPTO Assignment, EspacenetComputer readable recording medium recorded with diagnosis supporting program, diagnosis supporting apparatus and diagnosis supporting methodUS 6925199 B2Abstract A computer readable recording medium recorded with a diagnosis supporting program, a diagnosis supporting apparatus and a diagnosis supporting method, enabling to retrieve similar disease cases making use of feature quantities of CT images and/or MRI images when interpreting such images, to thereby allow an improvement of diagnosis precision.
FIELD OF THE INVENTION The present invention relates to a technique for improving diagnosis precision particularly in a diagnosis supporting technique for supporting diagnoses by image interpretation.
RELATED ART OF THE INVENTION There have been conventionally conducted interpretation of CT (Computerized Tomography) images and MRI (Magnetic Resonance Imaging) images, for example, by subjective estimations based on experiences stored over time by doctors such as radiologists. However, image diagnoses based on only subjective estimations fail to avoid misdiagnoses such as due to oversight and/or misunderstanding. To avoid such misdiagnoses, various endeavors have been made such as by interpreting CT images by a plurality of doctors. However, many problems are still left such as due to the restriction of time.
SUMMARY OF THE INVENTION To this end, the diagnosis supporting technique according to the present invention is characterized in that image-wise feature quantities of a lesion position detected in a diagnosis target image are extracted, and reference images which are image-wise similar to the diagnosis target image is retrieved out of a database stored with reference images and feature quantities thereof, based on the extracted feature quantities, from.
BRIEF EXPLANATION OF THE DRAWINGS FIG. 1 is a constitutional diagram of a diagnosis supporting apparatus according to the present invention;
The diagnosis supporting apparatus comprises an image database 10, a feature database 12, a finding database 14, a lesion position detecting part 16, a lesion feature quantity extracting part 18, a lesion feature quantity matching part 20 and a disease name probability calculating part 22. Note, the term �database� shall be abbreviated to �DB� in the following description.
At the lesion position detecting part 16, a lesion position(s) in the organ or site to be diagnosed (hereinafter simply called �organ�) is detected from a CT image. Detection of lesion position is conducted such as by the technique shown in �Lung cancer CT medical examination supporting system� by N. Niki, in the Japanese radiation technological academy magazine, Vol. 56 No. 3, March (2000), pp. 337-340.
At the lesion feature quantity extracting part 18, lesion feature quantities representing image-wise similarities by statistics are extracted, for all of the lesion positions detected by the lesion position detecting part 16. Extraction of lesion feature quantities is conducted such as by the technique shown in �Classification of tumor shadows in 3-dimensional chest X-ray CT image into pneumatic type and solid type, and its Application to discrimination between benignant and malignant natures� by M. Kondo, in the Technical Report of IEICE M12000-16 (2000-05), pp. 27-32.
In FIG. 5 showing a main routine, the photographed CT image (hereinafter called �diagnosis target image�) is registered into the image DB 10 at step 1 (abbreviated to �S1� in the figure, and the same rule applies corresponding to the following). At this time, the index of the image DB 10 is additionally registered with a patient ID, an inspection ID and an image file name, so as to specify the registered image by relating the same to the patient ID and inspection ID. Note, the procedure at step 1 corresponds to a part of each of a database registering function, database registering means and a database registering process.
At step 5, the lesion feature quantities of the diagnosis target image are matched with lesion feature quantities stored in the feature DB 12 concerning the diagnosis target organ by the function provided by the lesion feature quantity matching part 20, so as to calculate the similarities of the stored CT images (hereinafter called �reference images�). Namely, as shown in FIG. 8, the lesion feature quantities of the diagnosis target image and of the reference image are arranged in a vector manner from a first element in each image unit (inspection unit), such as a volume, an average of brightness, a deviation of brightness, a spherical degree, a texture statistic, and so on. Each element is normalized to be in a range from 0 to 1, so as to be compared at the same level. Concerning a volume for example, when the target site is a lung, the volume of a lesion portion can be normalized since the volume of the lesion portion is necessarily smaller than the volume of the lung.
S=W t(E−(A−B))/|W| =[w 1(1−f 1 +g 1)+w 2(1−f 2 +g 2)+ . . . ]/(w 1 +w 2+ . . . ),
Patent CitationsCited PatentFiling datePublication dateApplicantTitleUS5836872 *Apr 13, 1990Nov 17, 1998Vanguard Imaging, Ltd.Digital optical visualization, enhancement, quantification, and classification of surface and subsurface features of body surfacesUS6075879 *Oct 26, 1998Jun 13, 2000R2 Technology, Inc.Method and system for computer-aided lesion detection using information from multiple imagesUS6292577 *May 1, 1998Sep 18, 2001Mitsubishi Denki Kabsuhiki KaishaResemblance retrieval apparatus, and recording medium for recording resemblance retrieval program* Cited by examinerNon-Patent CitationsReference1 *"Computer Aided Diagnosis System for Lung Cancer Based on Helical CT Images" by Kanazawa et al., IEEE, Pattern Recognition, 1996., Proceedings of the 13th International Conference on , vol.: 3 , Aug. 25-29, 1996.2M. Kondo, "Classification of tumors in chest X-ray CT Images into the solid and air-containing type and its application to discrimination of the benign and malignant tumors", Technical Report of IEICE M12000-16, May 2000, pp. 27-32.3N. Niki, "System for Aiding CT Image Diagnosis for Lung Cancer ", Japanese Radiation Technological Academy Magazine, vol. 56, No. 3, Mar. 2000, pp. 337-340.* Cited by examinerReferenced byCiting PatentFiling datePublication dateApplicantTitleUS7510525 *Feb 26, 2004Mar 31, 2009Hisaki KamoSystem for topical nerve diagnosis and neuroanatomical studyUS7664299 *Mar 30, 2005Feb 16, 2010Kabushiki Kaisha ToshibaApparatus that prepares information relating to image dataUS7865004 *Oct 18, 2007Jan 4, 2011Fujifilm CorporationSystem, method, and program for medical image interpretation supportUS7949166 *Apr 12, 2007May 24, 2011Fujifilm CorporationDiagnosis support systemUS8160333 *May 12, 2010Apr 17, 2012Canon Kabushiki KaishaInformation processing apparatus and information processing methodUS8180123 *Feb 29, 2008May 15, 2012Fujifilm CorporationSimilar case search apparatus and method, and recording medium storing program thereforUS8243999 *May 3, 2006Aug 14, 2012Ut-Battelle, LlcMethod and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient dataUS8330807 *May 29, 2009Dec 11, 2012Convergent Medical Solutions, Inc.Automated assessment of skin lesions using image libraryUS8503749May 15, 2012Aug 6, 2013Ut-Battelle, LlcMethod and system for the diagnosis of disease using retinal image content and an archive of diagnosed human patient dataUS20080215630 *Feb 29, 2008Sep 4, 2008Fujifilm CorporationSimilar case search apparatus and method, and recording medium storing program thereforUS20100226550 *May 12, 2010Sep 9, 2010Canon Kabushiki KaishaInformation processing apparatus and information processing methodUS20100302358 *May 29, 2009Dec 2, 2010Convergent Medical Solutions, Inc.Automated assessment of skin lesions using image libraryUS20120250959 *Mar 20, 2012Oct 4, 2012Canon Kabushiki KaishaInformation processing apparatus and information processing methodWO2008022210A2 *Aug 15, 2007Feb 21, 2008Charles KellerMethods, compositions and systems for analyzing imaging data* Cited by examinerClassifications U.S. Classification382/131, 382/305, 707/999.006International ClassificationG06F19/00Cooperative ClassificationY10S707/99936, G06F19/321, G06F19/345, G06F19/3487European ClassificationG06F19/34P, G06F19/34K, G06F19/32ALegal EventsDateCodeEventDescriptionJan 3, 2013FPAYFee paymentYear of fee payment: 8Dec 31, 2008FPAYFee paymentYear of fee payment: 4Aug 15, 2006CCCertificate of correctionMar 28, 2001ASAssignmentOwner name: FUJITSU LIMITED, JAPANFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MURAO, KOHEI;REEL/FRAME:011653/0991Effective date: 20010316Owner name: FUJITSU LIMITED 1-1, KAMIKODANAKA 4-CHOME, NAKAHARFree format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNOR:MURAO, KOHEI /AR;REEL/FRAME:011653/0991RotateOriginal ImageGoogle Home - Sitemap - USPTO Bulk Downloads - Privacy Policy - Terms of Service - About Google Patents - Send FeedbackData provided by IFI CLAIMS Patent Services©2012 Google