Abstract
Organ and tumour motion has a significant impact on the planning and delivery of radiotherapy
treatment. At present imaging modality such as four-dimensional computer tomography
(4DCT) cannot be used to measure the variability of motion between different respiratory
cycles. To create reliable motion models, one needs to acquire volumetric data sets
of the lungs with sufficient sampling of the breathing cycle. In this paper we investigate
the use of highly parallel MRI to acquire such data. A 32 channel coil in conjunction
with a balanced SSFP sequence and a SENSE factor of 6 were used to acquire volumetric
data sets in five healthy volunteers. The acquisition was repeated for seven series
of different breathing patterns. The data acquired was of sufficient spatial resolution
(5 × 5 × 5 mm3) and image quality to carry out automated non-rigid registration. The acquisition
rate (c.a. 2 volumes per second) allowed for a meaningful sampling of the different
respiratory curves that were automatically obtained from the skin surface motion.
This acquisition technique should provide images of high enough quality to create
statistical respiratory models.
Keywords
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Article info
Publication history
Published online: April 05, 2012
Accepted:
March 5,
2012
Received in revised form:
February 24,
2012
Received:
November 22,
2011
Identification
Copyright
© 2012 Associazione Italiana di Fisica Medica. Published by Elsevier Inc. All rights reserved.
