Multi-view image reconstruction: Application to fetal ultrasound compounding

Veronika A. Zimmer*, Alberto Gomez, Yohan Noh, Nicolas Toussaint, Bishesh Khanal, Robert Wright, Laura Peralta, Milou van Poppel, Emily Skelton, Jacqueline Matthew, Julia A. Schnabel

*Corresponding author for this work

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

22 Citations (Scopus)

Abstract

Ultrasound (US), a standard diagnostic tool to detect fetal abnormalities, is a direction dependent imaging modality, i.e. the position of the probe highly influences the appearance of the image. View-dependent artifacts such as shadows can obstruct parts of the anatomy of interest and degrade the quality and usefulness of the image. If multiple images of the same structure are acquired from different views, view-dependent artifacts can be minimized. In this work, we propose a new US image reconstruction technique using multiple B-spline grids to enable multi-view US image compounding. The B-spline coefficients of different control point grids adapted to the geometry of the data are simultaneously optimized at every resolution level. Data points are weighted depending on their view, position and intensity. We demonstrate our method on the compounding of co-planar 2D fetal US images acquired from multiple views. Using quantitative and qualitative evaluation scores, we show that the proposed method outperforms other multi-view compounding methods.

Original languageEnglish
Title of host publicationData Driven Treatment Response Assessment and Preterm, Perinatal, and Paediatric Image Analysis - First International Workshop, DATRA 2018 and Third International Workshop, PIPPI 2018 Held in Conjunction with MICCAI 2018, Proceedings
PublisherSpringer Verlag
Pages107-116
Number of pages10
ISBN (Print)9783030008062
DOIs
Publication statusPublished - 1 Jan 2018
Event1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018 - Granada, Spain
Duration: 16 Sept 201816 Sept 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11076 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference1st International Workshop on Data Driven Treatment Response Assessment, DATRA 2018 and 3rd International Workshop on Preterm, Perinatal, and Paediatric Image Analysis, PIPPI 2018 Held in Conjunction with 21st International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2018
Country/TerritorySpain
CityGranada
Period16/09/201816/09/2018

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