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Automated diagnosis and alignment supplemented with pet/mr flow estimation

A technology for diagnostic images, objects, applied in the direction of diagnosis, diagnostic recording/measurement, instruments for radiological diagnosis, etc., to achieve the effect of improving consistency

Active Publication Date: 2010-01-13
KONINKLIJKE PHILIPS ELECTRONICS NV
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, this approach is generally suboptimal and can lead to artifacts in the derived parameter map

Method used

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  • Automated diagnosis and alignment supplemented with pet/mr flow estimation
  • Automated diagnosis and alignment supplemented with pet/mr flow estimation
  • Automated diagnosis and alignment supplemented with pet/mr flow estimation

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Embodiment Construction

[0034] The application now turns to the description of several exemplary embodiments. Although this application includes a description of a combined PET / MR scanner, it should be understood that automated diagnostic techniques and landmark-based spatial alignment are not dependent on, but only enhanced by, a multimodality system. This application first discusses automated diagnosis using PET imaging, followed by landmark-based spatial alignment of PET images. Both concepts are enhanced by parallel MR imaging data, but MR data is not required. Then, taking advantage of this advantage of MR flow measurements, the application turns to the scaling of intensity values ​​between PET images. The present application then lays the foundation for a multimodal environment.

[0035] PET or other diagnostic images alone can be used to automatically diagnose medical diseases. Likewise, the present embodiments are described with reference to the diagnosis of degenerative neurological disea...

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Abstract

A scanner (10) is used to provide images for automated diagnoses of neurodegenerative diseases, such as Alzheimer s disease. The images are registered (90) to a template (78). The aligned image is analyzed (60) in relation to reference image data (76, 80) which has been registered to the template which is contained in a knowledge maintenance engine (70) for similar patterns of hypo-intensity that would indicate (in the case of an FDG tracer) reduced glucose uptake in the brain. The most appropriate reference images for the analysis of the present study are chosen by a filter (74). The present study is then given a dementia score (84) as a diagnostic feature vector that indicates to a clinician the type and severity of the ailment based on the analysis. The scanner (10) can produce PET or other metabolic and MR images for diagnosis. The MR can be used to measure blood flow rate into the brain. From the blood flow rate and the metabolic image, tracer, e.g. FDG, uptake maps can be generated for use in the automated diagnoses.

Description

technical field [0001] This application relates to the field of diagnostic imaging. It has particular application to the early diagnosis of dementia and will be described with particular attention to this aspect. Various aspects will have numerous other applications. Background technique [0002] Worldwide, dementia affects more than 30 million people, and the incidence rises as the average age increases in wealthier countries. Alzheimer's disease is the most common cause of dementia, and while there is no effective long-term treatment, treatments exist that can slow the onset of dementia if the underlying cause is diagnosed early. Providing an accurate and timely diagnosis to patients exhibiting clinical symptoms of dementia is paramount to initiating appropriate drug therapy, which is most likely to be effective when initiated shortly after onset. A reliable diagnostic method will potentially pave the way for screening programs to detect dementia before the onset of cli...

Claims

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Application Information

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IPC IPC(8): A61B5/055A61B6/00
CPCA61B6/507A61B6/5247A61B6/00A61B5/055A61B6/037A61B5/4088A61B5/0035
Inventor S·M·扬M·库恩F·文策尔I·C·卡尔森K·梅茨R·布赫特
Owner KONINKLIJKE PHILIPS ELECTRONICS NV
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