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Method for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA)

A technique of blood vessels and regression methods, which is applied in the directions of instruments, calculations, and diagnosis for radiological diagnosis. It can solve the problem that the author has not reported the accuracy value of the center line, and achieve the effect of high accuracy.

Inactive Publication Date: 2019-03-15
T2PHARMA GMBH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In both cases, the authors have not reported centerline accuracy values

Method used

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  • Method for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA)
  • Method for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA)
  • Method for automatically detecting systemic arteries in arbitrary field-of-view computed tomography angiography (CTA)

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Embodiment Construction

[0042] In the following Detailed Description, reference is made in sufficient detail to practice the embodiments explained below by those skilled in the art.

[0043] Arteries differ in diameter and length depending on their location in the body. Not only that, but the geometry of arterial tree segments varies by body region. For this reason, in one embodiment of the invention, the vessel tracking framework starts with the detection of body regions from a CTA (Computed Tomography Angiography) scan and adjusts the other steps accordingly. Major vessel detection performance improvements have been demonstrated, which can be attributed to the implementation of this body region detection as a first step. At the next step, possible vessel seed locations are detected throughout the scan. The underlying vascular structure is then tracked via vessel model matching starting from the seed position. The tracked segments are finally connected to the arterial tree from the initial positi...

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Abstract

Method and system to fully-automatically analyze a medical image represented by a digital image representation. A method is disclosed to automatically detect systemic arteries in arbitrary field-of-view computed tomography angiography (CTA).

Description

[0001] describe. technical field [0002] The present invention relates generally to the field of medical imaging, and more particularly to the field of automated vessel detection. The present invention relates to the automatic detection of systemic arteries in arbitrary field-of-view computed tomography angiography (CTA) by analysis of medical images represented by digital image representations. Background technique [0003] Peripheral artery disease (PAD) is a common disease that causes narrowing of noncerebral and noncoronary arteries. Peripheral arterial disease has a worldwide prevalence of typically about 10%, and a worldwide prevalence of 15-20% in persons over the age of 70. In 2010, 202 million people worldwide lived with PAD. Computed tomography angiography (CTA) is one of the non-invasive and versatile techniques used to image the arterial tree and diagnose stenosis in which arteries have a bright appearance through injected contrast media . Inhomogeneous inte...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/187
CPCG06T2207/10081G06T2207/30101G06T2207/30172G06T7/187A61B6/032A61B6/481A61B6/504
Inventor A.诺维科夫D.马约M.维梅尔K.布厄勒
Owner T2PHARMA GMBH
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