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DeepCS: Deep Convolutional Neural Network and SVM Based Single Image Super-Resolution Read chapter Read first chapter

2018 | OriginalPaper | Chapter

Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas

Authors : Ana I. L. Namburete, Raquel van Kampen, Aris T. Papageorghiou, Bartłomiej W. Papież

Published in: Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis

Publisher: Springer International Publishing

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Abstract

In this paper, we describe a method to construct a 3D atlas from fetal brain ultrasound (US) volumes. A multi-channel groupwise Demons registration is proposed to simultaneously register a set of images from a population to a common reference space, thereby representing the population average. Similar to the standard Demons formulation, our approach takes as input an intensity image, but with an additional channel which contains phase-based features extracted from the intensity channel. The proposed multi-channel atlas construction method is evaluated using a groupwise Dice overlap, and is shown to outperform standard (single-channel) groupwise diffeomorphic Demons registration. This method is then used to construct an atlas from US brain volumes collected from a population of 39 healthy fetal subjects at 23 gestational weeks. The resulting atlas manifests high structural overlap, and correspondence between the US-based and an age-matched fetal MRI-based atlas is observed.

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Metadata
Title
Multi-channel Groupwise Registration to Construct an Ultrasound-Specific Fetal Brain Atlas
Authors
Ana I. L. Namburete
Raquel van Kampen
Aris T. Papageorghiou
Bartłomiej W. Papież
Copyright Year
2018
Book
Data Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis

Print ISBN: 978-3-030-00806-2

Electronic ISBN: 978-3-030-00807-9

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00807-9_8

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