Paper
10 February 2009 A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy
Author Affiliations +
Proceedings Volume 7245, Image Processing: Algorithms and Systems VII; 72450G (2009) https://doi.org/10.1117/12.805992
Event: IS&T/SPIE Electronic Imaging, 2009, San Jose, California, United States
Abstract
In this paper we present a novel fast method for the non-rigid registration of a few X-ray projections with CT data. The method involves non-parametric non-rigid registration techniques for the difficult 2D-3D case, combined with knowledge of probable deformations modeled as active shape models (ASMs). ASMs allow us to cope with as few as two projections by regularizing the registration process. The model is learned from deformations observed during respiration in a 4D-CT. This method can be applied in motion compensated radiation therapy to eliminate the need for fiducial implantation. We designed a fast C++ implementation for our method in order to make it practicable. Our tests on real 4D-CT data achieved registration times of 2-4 minutes using a desktop PC.
© (2009) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Christoph Bodensteiner, Cristina Darolti, and Achim Schweikard "A fast intensity based non-rigid 2D-3D registration using statistical shape models with application in radiotherapy", Proc. SPIE 7245, Image Processing: Algorithms and Systems VII, 72450G (10 February 2009); https://doi.org/10.1117/12.805992
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Cited by 2 scholarly publications.
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KEYWORDS
Distance measurement

Image registration

Motion models

Statistical analysis

Reconstruction algorithms

Radiotherapy

X-rays

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