Ms. Zahra Passand Profile

Zahra Passand

at Otto-von-Guericke Univ Magdeburg

SPIE Involvement:

Author

Publications (1)

This will count as one of your downloads.

You will have access to both the presentation and article (if available).

DOWNLOAD NOW

This content is available for download via your institution's subscription. To access this item, please sign in to your personal account.

Email or Username Forgot your username?

Password Forgot your password?

Show

Keep me signed in

No SPIE account? Create an account

Proceedings Article | 16 March 2020 Paper

Image quality assessment of real patient thorax CT images using modulation transfer function and noise power spectrum

Zahra Passand, Christoph Hoeschen

Proceedings Volume 11312, 113122N (2020) https://doi.org/10.1117/12.2550073

KEYWORDS: Image quality, Computed tomography, Modulation transfer functions, X-ray computed tomography, Diagnostics, Image acquisition, Spatial resolution, Medical imaging, Image analysis, Databases

Read Abstract +

Computed tomography (CT) is a medical imaging technique which is widely used in various clinical applications. Since the applied radiation is potentially harmful to humans, the applied doses are carefully monitored during CT image acquisition. On the contrary, the CT image quality is not analyzed or monitored during normal clinical operation. A wide range of parameters such as patient anatomy, implants, cardiac or respiratory motion, pathological tissue variations or an inappropriately configured CT system can affect the image quality. Hence, an automated image quality assessment would be desirable to track the CT image quality in daily clinical routine. In this work, the image noise and spatial resolution were characterized and analyzed in order to determine the image quality. While the image noise was characterized by the noise power spectrum (NPS), the spatial resolution was described by the modulation transfer function (MTF). Both methods were applied to human torso phantom images or real thorax CT images. It was shown that both parameters are useful to distinguish between different image qualities. Lower CT image quality was correlated with higher noise amplitudes (measured by the NPS) and a lower spatial resolution (measured by the MTF). Challenges for future works remain in generating appropriately annotated clinical CT image databases as well as in automatically selecting suitable regions-of-interest within the image.

My Library

You currently do not have any folders to save your paper to! Create a new folder below.

Folder Name

Folder Description

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks. You are receiving this notice because your organization may not have SPIE eBooks access.*

*Shibboleth/Open Athens users─please sign in to access your institution's subscriptions.

To obtain this item, you may purchase the complete book in print or electronic format on SPIE.org.

ORGANIZATIONAL
Sign in with credentials provided by your organization.

Organizational Username

Organizational Password

Show/Hide Password

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members:

Non-members: ADD TO CART

Keywords/Phrases

Search In:

Publication Years