Ultrasound fetal brain registration using weighted coherent point drift

J. L. Pérez González; Fernando Arámbula Cosío; Mario Guzmán; Lisbeth Camargo; Benjamin Gutierrez; Diana Mateus; Nassir Navab; V. Medina Bañuelos

doi:10.1117/12.2255776

26 January 2017 Ultrasound fetal brain registration using weighted coherent point drift

J. L. Pérez González, Fernando Arámbula Cosío, Mario Guzmán, Lisbeth Camargo, Benjamin Gutierrez, Diana Mateus, Nassir Navab, V. Medina Bañuelos

Author Affiliations +

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 1016008 (2017) https://doi.org/10.1117/12.2255776
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

Abstract

Three dimensional ultrasound imaging has become the main modality for fetal health diagnostics, with extensive use in fetal brain imaging. According to the fetal position and the stage of development of the fetal skull, a specific plane of image acquisition is required. In most cases for a single plane of acquisition, the image quality is limited by the shadows produced by the skull. In this work a new method for registration of multiple views of 3D ultrasound of the fetal brain is reported, which results in improved imaging of the internal brain structures. In the initial stage, texture, intensity and edge features are used, with a support vector machine (SVM) for the segmentation of the skull in each of the 3D ultrasound views to be registered. The segmentation of each skull is modelled as a set of points with the centre determined with a Gaussian mixture model, where each point is assigned a probability of membership to a Gaussian determined by the posterior probability assigned by the SVM. Our method has shown improved results compared to intensity based registration, with a 52% reduction in the target registration error (TRE), and a 39% reduction in the TRE compared to feature based registration. These are encouraging results for the future development of an automatic method for registration and fusion of multiple views of 3D fetal ultrasound.

Citation Download Citation

J. L. Pérez González, Fernando Arámbula Cosío, Mario Guzmán, Lisbeth Camargo, Benjamin Gutierrez, Diana Mateus, Nassir Navab, and V. Medina Bañuelos "Ultrasound fetal brain registration using weighted coherent point drift", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 1016008 (26 January 2017); https://doi.org/10.1117/12.2255776

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
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Fetus

Brain

Image registration

Ultrasonography

Skull

3D acquisition

3D modeling

Show All Keywords

Keywords/Phrases

Search In:

Publication Years