Ultrasound fetal brain registration using weighted coherent point drift

J. L. Perez-Gonzalez, Fernando Arambula Cosio, Mario Guzman, Lisbeth Camargo, Benjamin Gutierrez, Diana Mateus, Nassir Navab, V. Medina-Banuelos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

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.

Original languageEnglish
Title of host publication12th International Symposium on Medical Information Processing and Analysis
EditorsEduardo Romero, Natasha Lepore, Jorge Brieva, Ignacio Larrabide
PublisherSPIE
ISBN (Electronic)9781510607781
DOIs
StatePublished - 2017
Event12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016 - Tandil, Argentina
Duration: 5 Dec 20167 Dec 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Volume10160
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

Conference12th International Symposium on Medical Information Processing and Analysis, SIPAIM 2016
Country/TerritoryArgentina
CityTandil
Period5/12/167/12/16

Keywords

  • Automatic Registration
  • Fetal Brain Imaging
  • Gaussian Mixture Model
  • Point Cloud Matching
  • Support Vector Machine

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