3 June 2015 Reduction of acquisition time in the intersection profile method for four-dimensional magnetic resonance imaging reconstruction of thoracoabdominal organs
Windra Swastika, Yoshitada Masuda, Takashi Ohnishi, Hideaki Haneishi
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Abstract
We have previously proposed an intersection profile method for reconstructing four-dimensional (4-D) magnetic resonance imaging (MRI) consisting of one breathing cycle of the thoracoabdominal region. This method captures a set of temporal sequence images in a proper sagittal plane and sets of temporal sequence images in continuous coronal slices. The former set is used as a navigator slice and the latter sets are used as data slices. A 4-D MRI is reconstructed by synchronizing the respiratory pattern found in the navigator slice and the data slices. We propose a prospective method to reduce the acquisition time for data slices. During data slice acquisition, the synchronization process between the respiratory pattern found in the navigator slice and one data slice is monitored in real time. Data acquisition will be terminated and moved to the next data slice based on a threshold value. We used 14 data sets (seven patients with certain pulmonary disease and seven healthy volunteers) previously obtained for the original intersection profile method for a simulation using the proposed method to evaluate the time reduction and impact on image quality. Each of the data set was tested using three different threshold values and the acquisition time can be reduced up to 75%. Although the quantitative evaluation of image quality was slightly worse than that by the conventional method, the difference based on the visual inspection was subtle to human eyes.
© 2015 Society of Photo-Optical Instrumentation Engineers (SPIE) 2329-4302/2015/$25.00 © 2015 SPIE
Windra Swastika, Yoshitada Masuda, Takashi Ohnishi, and Hideaki Haneishi "Reduction of acquisition time in the intersection profile method for four-dimensional magnetic resonance imaging reconstruction of thoracoabdominal organs," Journal of Medical Imaging 2(2), 024008 (3 June 2015). https://doi.org/10.1117/1.JMI.2.2.024008
Published: 3 June 2015
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KEYWORDS
Magnetic resonance imaging

Data acquisition

Decision support systems

Chronic obstructive pulmonary disease

Image quality

Image acquisition

Visualization

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