Dr. Linda G. W. Kerkmeijer Profile

Dr. Linda G. W. Kerkmeijer

at Univ Medical Ctr Utrecht

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 | 15 March 2019 Paper

The impact of MRI-CT registration errors on deep learning-based synthetic CT generation

Mateusz Florkow, Frank Zijlstra, Linda G. Kerkmeijer, Matteo Maspero, Cornelis A. van den Berg, Marijn van Stralen, Peter Seevinck

Proceedings Volume 10949, 1094938 (2019) https://doi.org/10.1117/12.2512747

KEYWORDS: Bone, Image registration, Computed tomography, Magnetic resonance imaging, Data modeling, Medical imaging, Radiotherapy

Read Abstract +

Purpose To investigate the impact of image registration on deep learning-based synthetic CT (sCT) generation. Methods Paired MR images and CT scans of the pelvic region of radiotherapy patients were obtained and non-rigidly registered. After a manual verification of the registrations, the dataset was split into two groups containing either well-registered or poorly-registered MR-CT pairs. In three scenarios, a patch-based U-Net deep learning architecture was trained for sCT generation on (i) exclusively well-registered data, (ii) mixtures of well-registered and poorly-registered data or on (iii) poorly-registered data only. Furthermore, a failure case was designed by introducing a single misregistered subject in the training set of six well-registered subjects. Reconstruction quality was assessed using mean absolute error (MAE) in the entire body and specifically in bone and Dice similarity coefficient (DSC) evaluated cortical bone geometric fidelity. Results The model trained on well registered data had an average MAE of 27.6 ± 2.6HU on the entire body contour and 79.1 ± 16.1HU on the bone. The average cortical bone DSC was 0.89. When patients with registration errors were added to the training, MAE’s were higher and DSC lower with variations by up to 36HU for the average MAE_bone. The failure mode demonstrated the potential far-reaching consequences of a single misregistered subject in the training set with variations by up to 38HU for MAE_bone. Conclusion Poor registration quality of the training set had a negative impact on paired, deep learning-based sCT generation. Notably, as low as one poorly-registered MR-CT pair in the training phase was capable of drastically altering a model.

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