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Method and system for intelligent linking of medical data

一种用户接口、用户的技术，应用在用于医学数据的智能链接和系统领域，能够解决耗时等问题

Inactive Publication Date: 2013-12-25
KONINKLJIJKE PHILIPS NV
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  • Abstract
  • Description
  • Claims
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Problems solved by technology

These activities are time consuming from a workflow perspective and challenging from a clinical perspective

Method used

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  • Method and system for intelligent linking of medical data
  • Method and system for intelligent linking of medical data
  • Method and system for intelligent linking of medical data

Examples

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Embodiment Construction

[0010] Exemplary embodiments may be further understood with reference to the following description of the exemplary embodiments and the associated drawings, wherein like elements are provided with the same reference numerals. Exemplary embodiments relate to systems and methods for intelligently combining medical findings received across different modalities, such as ultrasound (“US”) data, magnetic resonance imaging (“MRI”) data, and mammography surgical (“MG”) data. As described in more detail below, exemplary embodiments will allow a physician (e.g., radiologist, oncologist, etc.) to efficiently associate all current medical images and patient records across any modality with any previous medical images and records of that patient Compare. Physicians can then be provided with all the information available regarding the various findings from the patient's lesions and can easily assess the development of these lesions.

[0011] Solutions have been proposed to assist physicia...

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Abstract

Described herein are systems and methods for intelligently combining medical findings received across different modalities. The system comprises an extraction module extracting contextual information from an image of an area of interest including annotations, a feature selection module building a current feature vector using the extracted contextual information and the annotations, and a referencing engine computing a similarity score between the current feature vector and a prior feature vector of a prior image. The method comprises extracting contextual information from an image of an area of interest including annotations, building a current feature vector using the extracted contextual information and the annotations, and computing a similarity score between the current feature vector and a prior feature vector of a prior image.

Description

Background technique [0001] Physicians such as radiologists and oncologists process increasing amounts of information to make diagnoses and treat patients optimally. For example, cancer patients undergo frequent imaging tests and over time will have many findings in their medical records. Every time a physician reads a new exam, it is necessary to compare the current exam with previous exams in order to determine the development of previously identified lesions and / or to detect any new lesions. This task requires physicians to read, compare, interpret and correlate findings in both images and reports. These activities are time-consuming from a workflow perspective and challenging from a clinical perspective. [0002] In the field of breast cancer management, mammography is the process of examining the human breast using low-dose amplitude X-rays (ie, approximately 0.7 mSv) with diagnostic and screening tools. The goal of mammography is the early diagnosis of breast cancer, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/62G06T7/00G06V10/75G16H30/40
CPCG06T7/0014G06T2207/10088G06T2207/10116G06T2207/10136G06T2207/30068G16H30/40A61B5/0033G06V10/75G06F18/22
Inventor 钱悦晨M·塞芬斯特
Owner KONINKLJIJKE PHILIPS NV
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