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Accuracy visualization within clinical imaging applications

IP.com Disclosure Number: IPCOM000185628D
Original Publication Date: 2009-Aug-14
Included in the Prior Art Database: 2009-Aug-14
Document File: 1 page(s) / 99K

Publishing Venue

Siemens

Related People

Juergen Carstens: CONTACT

Abstract

Medical imaging is often perceived to designate the set of techniques that noninvasively produce images of the internal aspect of the human body. However, no state of the art imaging technology used for the diagnosis of pathologies provides accurate information. Nevertheless each radiologist or user of an imaging application assumes that what he sees is accurate, which is physically impossible.

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Accuracy visualization within clinical imaging applications

Idea: Dr. Michael Aschke, DE-Erlangen

Medical imaging is often perceived to designate the set of techniques that noninvasively produce images of the internal aspect of the human body. However, no state of the art imaging technology used for the diagnosis of pathologies provides accurate information. Nevertheless each radiologist or user of an imaging application assumes that what he sees is accurate, which is physically impossible.

It is proposed in the following to provide a visualization of the overall error within each imaging application before a diagnosis is made. The overall error can commonly be described as the image acquisition error plus the image processing error plus a registration error plus an overlay error. All of these errors or at least a combination of some of these errors can be found in every medical imaging application. Additionally to these errors the reliability information shall be part of the generated reports of the proposed system (see figure 1). The information's needed are gathered by accurate measurements within all affected algorithms that acquire or processes relevant images. The errors have to be concatenated in order to provide overall valid accuracy quantification.

The proposed method does beneficially provide the user with a far better reliability of...