IPC분류정보
국가/구분 |
United States(US) Patent
등록
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국제특허분류(IPC7판) |
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출원번호 |
US-0916431
(2004-08-12)
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등록번호 |
US-8412541
(2013-04-02)
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발명자
/ 주소 |
- Qian, Jianzhong
- Wei, Guo-Qing
- Fan, Li
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출원인 / 주소 |
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대리인 / 주소 |
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인용정보 |
피인용 횟수 :
2 인용 특허 :
11 |
초록
▼
An Intelligent Qualitative and Quantitative Analysis (IQQA) system and method is disclosed that allows a user to specify certain identifying information used to search and obtain medically-related information from different sources. The medically-related information may be of different types and may
An Intelligent Qualitative and Quantitative Analysis (IQQA) system and method is disclosed that allows a user to specify certain identifying information used to search and obtain medically-related information from different sources. The medically-related information may be of different types and may be dynamically fused, when needed, to generate matrices of diagnostic information. Medical decisions such as a diagnostic decision may be made based on such matrices of diagnostic information.
대표청구항
▼
1. A method implemented on at least one machine each of which has at least one processor, storage, and communication platform for computer aided medical diagnosis, comprising: obtaining, from a user via a user interface, identifying information to be used to obtain medically-related information;obta
1. A method implemented on at least one machine each of which has at least one processor, storage, and communication platform for computer aided medical diagnosis, comprising: obtaining, from a user via a user interface, identifying information to be used to obtain medically-related information;obtaining, automatically via a search engine, the medically-related information from different sources based on the identifying information;automatically forming, via a dynamic diagnostic decision matrix platform, a plurality of hierarchically arranged matrices of diagnostic information in a hierarchy, where a matrix at each level in the hierarchy is an assembly of organized medically-related information and generated by dynamically fusing different types of medically-related information from lower levels of the hierarchy, and each node in the hierarchy embeds a tool that can be activated when the diagnostic information is displayed;modifying, via the dynamic diagnostic decision matrix platform, diagnostic information stored in at least one of the plurality of hierarchically arranged matrices;updating, via the dynamic diagnostic decision matrix platform, the at least one hierarchically arranged matrix based on the modified diagnostic information stored therein to form updated hierarchically arranged matrices; andcomputing, via the machine processor, a medical decision based on the updated hierarchically arranged matrices of diagnostic information, wherein diagnostic information at any node of any level in the hierarchy is accessible and can be manipulated by the user interactively based on a data manipulation tool embedded with the diagnostic information,diagnostic information at a level of the hierarchy can be dynamically fused with that at a same or a different level of the hierarchy based on a tool embedded with the diagnostic information, anda result of the fusing is propagated within the hierarchy. 2. The method according to claim 1, wherein the identifying information includes a patient identification and a disease type. 3. The method according to claim 2, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined dynamically based on the disease type. 4. The method according to claim 2, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined dynamically based on both the disease type and the patient identification. 5. The method according to claim 2, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined in one of an automatic mode and an interactive mode. 6. The method according to claim 2, further comprising analyzing the medically-related information to produce the result derived from an analysis of any of the different types of the medically-related information associated with the disease type. 7. The method according to claim 6, wherein said analyzing comprises at least one of: enhancing the medically-related information;extracting diagnostic evidence associated with the disease type from the medically-related information and/or the enhanced information thereof;evaluating a feature derived from the medically-related information;detecting an abnormality candidate based on the medically-related information; andidentifying patient-specific risk factors based on the medically-related information. 8. The method according to claim 7, wherein said enhancing includes at least one of: enhancing a part of a medical image contained in the medically-related information; andenhancing an entire medical image contained in the medically-related information. 9. The method according to claim 7, wherein said extracting is performed across different modalities of the medically-related information. 10. The method according to claim 7, wherein the diagnostic evidence to be extracted is determined in one of an automated mode and an interactive mode. 11. The method according to claim 7, wherein said evaluating is performed in one of an automated mode and an interactive mode. 12. The method according to claim 11, wherein said evaluating is one of qualitative evaluating and a quantitative evaluating. 13. The method according to claim 12, wherein the quantitative evaluating includes at least one of: estimating size of a region in a medical image corresponding to an abnormality;estimating statistics related to intensity distribution within a region of the abnormality;determining a change with respect to an aspect of the abnormality occurred over time;determining shape of the abnormality; anddetermining texture of the abnormality. 14. The method according to claim 1, wherein the medically-related information includes patient-specific and disease-specific information. 15. The method according to claim 1, wherein the medically-related information includes non-patient-specific and disease-specific information. 16. The method according to claim 1, wherein the medically-related information includes visual medical information and non-visual information. 17. The method according to claim 16, wherein the non-visual information includes at least one of: a medical test result;genotype information; personal medical history;risk factors related to personal life style and behaviors;phenotype or pathological information; family medical history; andgeneral medical knowledge. 18. The method according to claim 16, wherein the visual medical information includes medical images acquired in a space of a certain dimension. 19. The method according to claim 18, wherein the certain dimension of the space includes at least one of two-dimensions and three-dimensions. 20. The method according to claim 1, wherein the different sources include: a CT scan;an X-ray examination;a PET scan;a SPECT scan;a nuclear medicine examination;an MRI scan;a sonogram;a DNA or molecular imaging procedure;a blood test;a physical examination; andany combination thereof. 21. The method according to claim 1, wherein a matrix at a lower level of the hierarchy represents more detailed diagnostic information. 22. The method according to claim 1, wherein said fusing combines different types of the medically-related information in different modalities. 23. The method according to claim 1, wherein the medical decision is a diagnostic decision. 24. The method according to claim 1, further comprising navigating through information contained in the at least one matrix of diagnostic information. 25. The method according to claim 1, further comprising generating a report based on the medical decision. 26. The method according to claim 25, wherein the report reporting the medical decision includes a link connecting the medical decision to diagnostic information represented in the at least one matrix and based on which the medical decision is made. 27. A system for computer aided medical diagnosis, comprising: an interface configured to facilitate to obtain identifying information to be used to obtain medically-related information;a search engine configured to obtain, automatically, the medically-related information from different sources based on the identifying information; anda dynamic diagnostic decision matrix platform configured to: automatically form a plurality of hierarchically arranged matrices of diagnostic information in a hierarchy, where a matrix at each level in the hierarchy is an assembly of organized medically-related information and generated by dynamically fusing different types of medically-related information from lower levels of the hierarchy, and each node in the hierarchy embeds a tool that can be activated when the diagnostic information is displayed,modify diagnostic information stored in at least one of the plurality of hierarchically arranged matrices,update the at least one hierarchically arranged matrix based on the modified diagnostic information stored therein to form updated hierarchically arranged matrices, andcompute, via a machine processor, a medical decision based on the updated hierarchically arranged matrices of diagnostic information, wherein diagnostic information at any node of any level in the hierarchy is accessible and can be manipulated by a user interactively based on a data manipulation tool embedded with the diagnostic information,diagnostic information at a level of the hierarchy can be dynamically fused with that at a same or a different level of the hierarchy based on a tool embedded with the diagnostic information, anda result of the fusing is propagated within the hierarchy. 28. The system according to claim 27, wherein the identifying information includes patient identification information and disease information. 29. The system according to claim 28, wherein the search engine searches patient-specific and disease-specific medically-related information with respect to a selected patient identification and a selected disease type. 30. The system according to claim 27, wherein the search engine searches non-patient -specific and disease-specific medically-related information associated with a selected disease type. 31. The system according to claim 27, further comprising a diagnostic information extractor configured to analyze the medically-related information and identify, from the medically-related information, medical evidence associated with a selected disease type. 32. The system according to claim 31, wherein the diagnostic information extractor comprises a non-visual diagnostic information extractor and a visual diagnostic information extractor. 33. The system according to claim 32, wherein the non-visual diagnostic information extractor includes at least one of: a disease-specific non-visual diagnostic evidence extractor configured to extract diagnostic evidence associated with a disease type from the medically-related information; anda patient-specific risk factor analyzer configured to identify patient-specific risk factors based on the medically-related information. 34. The system according to claim 32, wherein the visual diagnostic information extractor includes at least one of: an enhancement mechanism configured to enhance the medically-related information;a visual diagnostic evidence extractor configured to extract diagnostic evidence associated with the disease type from visual information contained in the medically-related information and/or the enhanced information thereof;an evaluation mechanism configured to evaluate diagnostic evidence derived from the medically-related information; andan abnormality detection mechanism configured to detect an abnormality candidate based on the medically-related information. 35. The system according to claim 34, wherein the enhancement mechanism includes: a local enhancement mechanism capable of enhancing a part of a medical image contained in the medically-related information; anda global enhancement mechanism capable of enhancing an entire medical image contained in the medically-related information. 36. The system according to claim 27, wherein the dynamic diagnostic decision matrix platform comprises: a diagnostic information storage unit configured to store diagnostic information extracted from the medically-related information;a diagnostic information management mechanism configured to manage access to the diagnostic information storage;a diagnostic information navigation mechanism configured to facilitate navigating through diagnostic information represented by the at least one matrix; anda diagnostic evidence identification mechanism configured to identify diagnostic evidence from the at least one matrix of diagnostic information. 37. The system according to claim 36, wherein the diagnostic evidence identification mechanism includes a diagnostic information fusion mechanism configured to fuse different types of the medically-related information in at least one modality;a diagnostic information modification mechanism configured to modify diagnostic information; anda diagnostic evidence extraction mechanism configured to extract diagnostic evidence from at least one of the medically-related information, the fused information, and the modified information. 38. The system according to claim 36, wherein the diagnostic evidence identification mechanism is implemented in one of an automated mode and an interactive mode. 39. The system according to claim 27, further comprising a medical report generation mechanism configured to produce a medical report reporting the medical decision. 40. The system according to claim 39, wherein the medical report includes links connecting to diagnostic information contained in the at least one matrix of diagnostic information that is used to reach the medical decision. 41. A machine readable medium having instructions stored thereon where the instructions, when accessed, enable the following: obtaining, from a user via a user interface, identifying information to be used to obtain medically-related information;obtaining, automatically via a search engine, the medically-related information from different sources based on the identifying information;automatically forming, via a dynamic diagnostic decision matrix platform, a plurality of hierarchically arranged matrices of diagnostic information in a hierarchy, where a matrix at each level in the hierarchy is an assembly of organized medically-related information and generated by dynamically fusing different types of medically-related information from lower levels of the hierarchy, and each node in the hierarchy embeds a tool that can be activated when the diagnostic information is displayed;modifying, via the dynamic diagnostic decision matrix platform, diagnostic information stored in at least one of the plurality of hierarchically arranged matrices:updating, via the dynamic diagnostic decision matrix platform, the at least one hierarchically arranged matrix based on the modified diagnostic information stored therein to form updated hierarchically arranged matrices; andcomputing, via a machine processor, a medical decision based on the updated hierarchically arranged matrices of diagnostic information, wherein, diagnostic information at any node of any level in the hierarchy is accessible and can be manipulated by the user interactively based on a data manipulation tool embedded with the diagnostic information,diagnostic information at a level of the hierarchy can be dynamically fused with that at a same or a different level of the hierarchy based on a tool embedded with the diagnostic information, anda result of the fusing is propagated within the hierarchy. 42. The medium according to claim 41, wherein the identifying information includes a patient identification and a disease type. 43. The medium according to claim 42, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined dynamically based on the disease type. 44. The medium according to claim 42, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined dynamically based on both the disease type and the patient identification. 45. The medium according to claim 42, wherein the different types of the medically-related information and the result derived from an analysis of any of the different types of the medically-related information used in said fusing are determined in one of an automatic mode and an interactive mode. 46. The medium according to claim 42, the instructions, when accessed, further enable analyzing the medically-related information to produce the result derived from an analysis of any of the different types of the medically-related information associated with the disease type. 47. The medium according to claim 46, wherein said analyzing comprises at least one of: enhancing the medically-related information;extracting diagnostic evidence associated with the disease type from the medically-related information and/or the enhanced information thereof;evaluating a feature derived from the medically-related information;detecting an abnormality candidate based on the medically-related information; andidentifying patient-specific risk factors based on the medically-related information. 48. The medium according to claim 47, wherein the diagnostic evidence to be extracted is determined in one of an automated mode and an interactive mode. 49. The medium according to claim 47, wherein said evaluating is performed in one of an automated mode and an interactive mode. 50. The medium according to claim 47, wherein said evaluating is one of qualitative evaluating and a quantitative evaluating. 51. The medium according to claim 50, wherein the quantitative evaluating includes at least one of: estimating size of a region in a medical image corresponding to an abnormality;estimating statistics related to intensity distribution within a region of the abnormality;determining a change with respect to an aspect of the abnormality occurred over time;determining shape of the abnormality; anddetermining texture of the abnormality. 52. The medium according to claim 41, wherein the medically-related information includes visual medical information and non-visual information. 53. The medium according to claim 52, wherein the visual medical information includes medical images acquired in a space of a certain dimension. 54. The medium according to claim 53, wherein the certain dimension of the space includes at least one of two-dimensions and three-dimensions. 55. The medium according to claim 41,wherein said fusing combines different types of the medically-related information in different modalities. 56. The medium according to claim 41, wherein said fusing combines different types of the medically-related information across different levels of the hierarchy. 57. The medium according to claim 41, wherein the medical decision is a diagnostic decision. 58. The medium according to claim 41, the instructions, when accessed, further enable navigating through information contained in the at least one matrix of diagnostic information. 59. The medium according to claim 41, the instructions, when accessed, further enable generating a report based on the medical decision. 60. The medium according to claim 59, wherein the report reporting the medical decision includes a link connecting the medical decision to diagnostic information represented in the at least one matrix and based on which the medical decision is made. 61. A method implemented on at least one machine each of which has at least one processor, storage, and communication platform for computer aided medical diagnosis, comprising: obtaining, automatically via a search engine, medically-related information from different sources based on identifying information obtained from a user;automatically forming, via a dynamic diagnostic decision matrix platform, a plurality of hierarchically arranged matrices of diagnostic information in a hierarchy, where a matrix at each level in the hierarchy is an assembly of organized medically-related information and generated by dynamically fusing different types of medically-related information from lower levels of the hierarchy, and each node in the hierarchy embeds a tool that can be activated when the diagnostic information is displayed;modifying, via the dynamic diagnostic decision matrix platform, diagnostic information stored in at least one of the plurality of hierarchically arranged matrices;updating, via the dynamic diagnostic decision matrix platform, the at least one hierarchically arranged matrix based on the modified diagnostic information stored therein to form updated hierarchically arranged matrices; andcomputing, via the machine processor, a medical decision based on the updated hierarchically arranged matrices of diagnostic information, wherein diagnostic information at any node of any level in the hierarchy is accessible and can be manipulated by the user interactively based on a data manipulation tool embedded with the diagnostic information,diagnostic information at a level of the hierarchy can be dynamically fused with that at a same or a different level of the hierarchy based on a tool embedded with the diagnostic information, anda result of the fusing is propagated within the hierarchy.
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