3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation

Wu Qiu; Jing Yuan; Jessica Kishimoto; Yimin Chen; Sandrine de Ribaupierre; Bernard Chiu; Aaron Fenster

doi:10.1117/12.2081467

20 March 2015 3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation

Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, Aaron Fenster

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 941310 (2015) https://doi.org/10.1117/12.2081467
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Intraventricular hemorrhage (IVH) or bleed within the brain is a common condition among pre-term infants that occurs in very low birth weight preterm neonates. The prognosis is further worsened by the development of progressive ventricular dilatation, i.e., post-hemorrhagic ventricle dilation (PHVD), which occurs in 10-30% of IVH patients. In practice, predicting PHVD accurately and determining if that specific patient with ventricular dilatation requires the ability to measure accurately ventricular volume. While monitoring of PHVD in infants is typically done by repeated US and not MRI, once the patient has been treated, the follow-up over the lifetime of the patient is done by MRI. While manual segmentation is still seen as a gold standard, it is extremely time consuming, and therefore not feasible in a clinical context, and it also has a large inter- and intra-observer variability. This paper proposes a segmentation algorithm to extract the cerebral ventricles from 3D T1- weighted MR images of pre-term infants with PHVD. The proposed segmentation algorithm makes use of the convex optimization technique combined with the learned priors of image intensities and label probabilistic map, which is built from a multi-atlas registration scheme. The leave-one-out cross validation using 7 PHVD patient T1 weighted MR images showed that the proposed method yielded a mean DSC of 89.7% ± 4.2%, a MAD of 2.6 ± 1.1 mm, a MAXD of 17.8 ± 6.2 mm, and a VD of 11.6% ± 5.9%, suggesting a good agreement with manual segmentations.

Citation Download Citation

Wu Qiu, Jing Yuan, Jessica Kishimoto, Yimin Chen, Sandrine de Ribaupierre, Bernard Chiu, and Aaron Fenster "3D MR ventricle segmentation in pre-term infants with post-hemorrhagic ventricle dilation", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941310 (20 March 2015); https://doi.org/10.1117/12.2081467

ACCESS THE FULL ARTICLE

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: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Image segmentation

Magnetic resonance imaging

Brain

3D image processing

Image registration

Image processing algorithms and systems

Neuroimaging

Show All Keywords

Keywords/Phrases

Search In:

Publication Years