Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz

Logo MUG-Forschungsportal

Gewählte Publikation:

SHR Neuro Krebs Kardio Lipid

Kupper, M; Sprengel, W; Winkler, P; Zurl, B.
A method for improved 4D-computed tomography data acquisition.
Z Med Phys. 2017; 27(1):31-38
Web of Science PubMed FullText FullText_MUG

 

Autor/innen der Med Uni Graz:
Winkler Peter
Zurl Brigitte
Altmetrics:

Dimensions Citations:

Plum Analytics:
Abstract:
In four-dimensional time-dependent computed tomography (4D-CT) of the lungs, irregularities in breathing movements can cause errors in data acquisition, or even data loss. We present a method based on sending a synthetic, regular breathing signal to the CT instead of the real signal, which ensures 4D-CT data sets without data loss. Subsequent correction of the signal based on the real breathing curve enables an accurate reconstruction of the size and movement of the target volume. This makes it possible to plan radiation treatment based on the obtained data. The method was tested with dynamic thorax phantom measurements using synthetic and real breathing patterns. Copyright © 2016. Published by Elsevier GmbH.
Find related publications in this database (using NLM MeSH Indexing)
Four-Dimensional Computed Tomography - methods
Humans -
Lung - diagnostic imaging
Organ Motion -
Phantoms, Imaging -
Respiration -
Tomography, X-Ray Computed -

Find related publications in this database (Keywords)
Irregular breathing
data loss free
4D-CT
SABR
4D-CT reconstructions
breathing monitoring
© Med Uni Graz Impressum