Mr. Ibrahim Tabet Profile

Ibrahim Tabet

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 | 3 April 2023 Poster + Paper

Image registration of diffusion weighted and conventional breast MRI

Torsten Hopp, Ibrahim Tabet, Sarah Said, Paola Clauser, Pascal Baltzer, Nicole Ruiter

Proceedings Volume 12464, 124641T (2023) https://doi.org/10.1117/12.2653350

KEYWORDS: Image registration, Diffusion weighted imaging, Breast, Magnetic resonance imaging, Image fusion, Diffusion, Image processing, Deformation, Edge detection

Read Abstract +

Compared to traditional magnetic resonance imaging, which provides anatomical information with high contrast, diffusion weighted imaging (DWI) can add functional information for a more precise detection and localization of breast cancer. However, DWI may suffer from artifacts due to off-resonance effects, including geometric distortions. This hinders combined view, e.g. by image fusion. In this work, we investigate a distortion correction of DWI based on a nonlinear image registration with a T2 weighted image. Our method consists of three steps: a data cleaning step in which differences in image sections and resolution are compensated, an edge detection step which extracts the outline and inner structures of the breast in both DWI and T2 weight image, and finally a non-rigid registration step using the demons algorithm. We use two clinical datasets with a total of seven patients for evaluation. Manual annotations of landmarks in 227 slices serve as basis to calculate the registration error. Our method reduces the target registration error based on the center of gravity of annotations from in average 5.5 mm to 3.1 mm and is most effective in cases with large initial deformation. Compared to the other methods tested in this study the proposed method shows the lowest error. The method may contribute to a better combined diagnosis and e.g. facilitate computer aided detection and diagnosis by enabling combination of spatially well-aligned information.

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