Deriving Anatomical Context from 4D Ultrasound
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Date
2014
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Real-time three-dimensional (also known as 4D) ultrasound imaging using matrix array probes has the potential to create large-volume information of entire organs such as the liver without external tracking hardware. This information can in turn be placed into the context of a CT or MRI scan of the same patient. However for such an approach many image processing challenges need to be overcome and sources of error addressed, including reconstruction drift, anatomical deformations, varying appearance of anatomy, and imaging artifacts. In this work, we present a fully automatic system including robust image-based ultrasound tracking, a novel learning-based global initialization of the anatomical context, and joint mono- and multi-modal registration. In an evaluation on 4D US sequences and MRI scans of eight volunteers we achieve automatic reconstruction and registration without any user interaction, assess the registration errors based on physician-defined landmarks, and demonstrate realtime tracking of free-breathing sequences.
Description
@inproceedings{:10.2312/vcbm.20141196https::/diglib.eg.org/handle/10.2312/vcbm.20141196.173-180,
booktitle = {Eurographics Workshop on Visual Computing for Biology and Medicine},
editor = {Ivan Viola and Katja Buehler and Timo Ropinski},
title = {{Deriving Anatomical Context from 4D Ultrasound}},
author = {Müller, Markus and Helljesen, Linn E. S. and Prevost, Raphael and Viola, Ivan and Nylund, Kim and Gilja, Odd Helge and Navab, Nassir and Wein, Wolfgang},
year = {2014},
publisher = {The Eurographics Association},
ISSN = {2070-5778},
ISBN = {978-3-905674-62-0},
DOI = {/10.2312/vcbm.20141196https://diglib.eg.org/handle/10.2312/vcbm.20141196.173-180}
}