‘On the fly’ reconstruction and tracking system for patient setup in radiation therapy

Hagen Kaiser, Pascal Fallavollita, Nassir Navab

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

Abstract

Range imaging devices have already shown their value for patient setup and motion management in external beam radiation therapy. However current systems need several range imaging devices recording the patient’s surface from different viewpoints to achieve the required stability and accuracy. Since range imaging devices come as add-ons to regular linear accelerators, they have to share the limited space with other sensors in the treatment room to get a line of sight to the patient’s isocenter. The objective of this work is to describe a new registration framework which enables stable tracking using only one range imager. We unveil the design of our solution to the problem of tracking a patient over long trajectories and large viewpoint changes including surface acquisition, pose estimation and simultaneous surface reconstruction. We evaluate the performance of the system using three clinically motivated experiments: (i) motion management, (ii) non-coplanar patient setup and (iii) tracking over very large angles. We compare our framework to the state-of-art ICP algorithm and to a ground-truth stereoscopic X-ray system from BrainLab. Results demonstrate that we could track subtle movements up to 2.5 cm with a mean target registration error of 0.44 mm and 0.02°. Subsequent non-coplanar field setup on 30° and 2 cm motion yielded a target registration error of 2.88 mm which is within clinical tolerances. Our sensor design demonstrates the potential of simultaneous reconstruction and tracking algorithms and its use for patient setup and motion management in radiation therapy.

Original languageEnglish
Title of host publicationAugmented Environments for Computer-Assisted Interventions - 10th International Workshop, AE-CAI 2015 Held in Conjunction with MICCAI 2015, Proceedings
EditorsZiv Yaniv, Cristian A. Linte, Pascal Fallavollita, Ziv Yaniv
PublisherSpringer Verlag
Pages30-37
Number of pages8
ISBN (Print)9783319246000
DOIs
StatePublished - 2015
Event10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015 - Munich, Germany
Duration: 9 Oct 20159 Oct 2015

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9365
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th International Workshop on Augmented Environments for Computer-Assisted Interventions, AE-CAI 2015 and Held in Conjunction with, MICCAI 2015
Country/TerritoryGermany
CityMunich
Period9/10/159/10/15

Keywords

  • Motion management
  • Patient setup
  • Radiation therapy
  • Range imaging

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