A method for improved 4D-computed tomography data acquisition

Martin Kupper, Wolfgang Sprengel, Peter Winkler, Brigitte Zurl

Research output: Contribution to journalArticle

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:
Original languageEnglish
Pages (from-to)31-38
JournalZeitschrift für medizinische Physik
Volume27
Issue number1
DOIs
Publication statusPublished - 2017

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