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System and method for multi-image based virtual non-contrast image enhancement for dual source CT

一种CT图像、非对比的技术，应用在虚拟非对比图像的增强领域，能够解决VNC图像信噪比下降等问题

Inactive Publication Date: 2011-04-20
SIEMENS AG
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0015] However, there is one problem with VNC images
Due to the subtraction step in equation (1), imaging noise in the dual-energy image is added while the signal is partially canceled, which contributes to a significant decrease in the signal-to-noise ratio of the VNC image

Method used

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  • System and method for multi-image based virtual non-contrast image enhancement for dual source CT
  • System and method for multi-image based virtual non-contrast image enhancement for dual source CT
  • System and method for multi-image based virtual non-contrast image enhancement for dual source CT

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Embodiment Construction

[0036] Exemplary embodiments of the invention described herein generally include systems and methods for virtual non-contrast images acquired by dual-source CT scans. Therefore, while the present invention is susceptible to various modifications and substitutions, specific embodiments thereof are illustrated in the drawings and will be described in detail herein. It should be understood, however, that there is no intent to limit the invention to the particular forms disclosed, but on the contrary, the invention is to cover all modifications, equivalents, and alternatives falling within the spirit and scope of the invention.

[0037] The term "image" as used herein refers to multidimensional data composed of discrete image elements (eg, pixels for 2D images and voxels for 3D images). The image may be, for example, a medical image of the subject collected by computed tomography, magnetic resonance imaging, ultrasound, or any other medical imaging system known to those skilled in...

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Abstract

The invention relates to a system and a method for multi-image based virtual non-contrast image enhancement for dual source CT. A method for enhancing a virtual non-contrast image, includes receiving a pair of dual scan CT images and calculating a virtual non-contrast image from the pair of CT images using known tissue attenuation coefficients. A conditional probability distribution is estimated for tissue at first and second points in each of the pair of CT images and the virtual non-contrast image as being the same type. A conditional probability distribution for tissue is estimated at the first and second points in each of the pair of CT images and the virtual non-contrast image as being of different types. An a posteriori probability of the tissue at the first and second points as being the same type is calculated from the conditional probability distributions, and an enhanced virtual non-contrast image is calculated using the a posteriori probability of the tissue at the first and second points as being the same type.

Description

[0001] Cross References to Related U.S. Applications [0002] This application claims priority from US Provisional Application No. 61 / 243,289 "Multi-image Based Virtual Non-contrast Image Enhancement for Dual Source CT" by Chen et al., filed September 17, 2009, which is hereby incorporated by reference in its entirety. technical field [0003] The present disclosure relates to dual-source computed tomography (CT) imaging, and in particular to the enhancement of virtual non-contrast images acquired by dual-source CT scans. Background technique [0004] The introduction of dual-source computed tomography (DSCT) in 2005 was an important improvement in the field of CT imaging. Two X-ray sources working simultaneously enable heart rate-independent temporal resolution and routine helical dual-energy imaging. Precise delivery of contrast media is a critical part of the contrast-enhanced CT procedure. Dual-source CT scanners allow for higher temporal resolution by acquiring comple...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00
CPCG06T2207/20192G06T2207/10072G06T2207/20076G06T5/50G06T2207/30004G06T2207/30016G06T5/002G06T5/70
Inventor Y·陈T·方B·施米德特R·劳帕赫
Owner SIEMENS AG
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