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Brain Image Motion Correction: Impact of Incorrect Calibration and Noisy Tracking

  • Rasmus Ramsbøl Jensen
  • , Claus Benjaminsen
  • , Rasmus Larsen
  • , Oline Vinter Olesen

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

The application of motion tracking is wide, including: industrial
production lines, motion interaction in gaming, computer-aided
surgery and motion correction in medical brain imaging. Several devices
for motion tracking exist using a variety of different methodologies. In
order to use such devices a geometric calibration with the coordinate system in which the motion has to be used is often required. While most devices report a measuring accuracy and precision, reporting a calibration accuracy is not always straight forward. We set out to do a quantitative measure of the impact of both calibration offset and tracking noise in medical brain imaging. The data are generated from a phantom mounted on a rotary stage and have been collected using a Siemens High Resolution Research Tomograph for positron emission tomography. During acquisition the phantom was tracked with our latest tracking prototype. The combined data set form a good basis for a quantitative analysis of calibration accuracy and tracking precision on motion corrected medical images and scanner resolution.
Original languageEnglish
Title of host publicationImage Analysis : 19th Scandinavian Conference, SCIA 2015 Copenhagen, Denmark, June 15–17, 2015 Proceedings
Number of pages10
PublisherSpringer Science+Business Media
Publication date2015
Pages159-168
ISBN (Print)978-3-319-19664-0
ISBN (Electronic)978-3-319-19665-7
DOIs
Publication statusPublished - 2015
Event19th Scandinavian Conference on Image Analysis - Copenhagen, Denmark
Duration: 15 Jun 201517 Jun 2015
Conference number: 19
http://www.scia2015.org/

Conference

Conference19th Scandinavian Conference on Image Analysis
Number19
Country/TerritoryDenmark
CityCopenhagen
Period15/06/201517/06/2015
Internet address
SeriesLecture Notes in Computer Science
ISSN0302-9743

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