Ultrasound fetal brain registration using weighted coherent point drift

Perez-Gonzalez JL, Arambula Cosio F, Guzman M, Camargo L, Gutierrez B, Mateus D, Navab N, Medina-Banuelos V (2017)

Publication Type: Conference contribution

Publication year: 2017

Journal

Proceedings of SPIE Society of Photo-optical Instrumentation Engineers (SPIE)

Publisher: SPIE

Book Volume: 10160

Conference Proceedings Title: Proceedings of SPIE - The International Society for Optical Engineering

Event location: Tandil, ARG

ISBN: 9781510607781

DOI: 10.1117/12.2255776

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.

Involved external institutions

Universidad Autónoma Metropolitana (UAM) MX Mexico (MX) National Autonomous University of Mexico / Universidad Nacional Autónoma de México (UNAM) MX Mexico (MX) Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Perez-Gonzalez, J.L., Arambula Cosio, F., Guzman, M., Camargo, L., Gutierrez, B., Mateus, D.,... Medina-Banuelos, V. (2017). Ultrasound fetal brain registration using weighted coherent point drift. In Eduardo Romero, Natasha Lepore, Jorge Brieva, Ignacio Larrabide (Eds.), Proceedings of SPIE - The International Society for Optical Engineering. Tandil, ARG: SPIE.

MLA:

Perez-Gonzalez, J. L., et al. "Ultrasound fetal brain registration using weighted coherent point drift." Proceedings of the 12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016, Tandil, ARG Ed. Eduardo Romero, Natasha Lepore, Jorge Brieva, Ignacio Larrabide, SPIE, 2017.

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