Volume 15 Supplement 1
Automatic motion probe setting assist system for cardiac magnetic resonance imaging
© Kuhara et al; licensee BioMed Central Ltd. 2013
Published: 30 January 2013
An ECG-non-gated 3D fast field echo (FFE) single volume covering the entire chest area was acquired using a 1.5-T MRI scanner (Excelart VantageTM powered by Atlas, Toshiba Medical Systems) during a single breath-hold with TR/TE = 3.7/1.3, FOV = 500x350x350 mm3 (coronal slab), and readout/phase/slice encode steps = 256/64/35 in an acquisition time of approximately 9 seconds. The acquired volume was then transformed to match a prepared model volume with manual annotation of the heart region and the position of the top of the right hemidiaphragm, permitting the motion probe region of the input data to be located. Accuracy was assessed by measuring the Euclidean distance between the position of the top of the right hemidiaphragm obtained by our method and that obtained by manual annotation, and evaluation was performed by comparison with the differences between two manual annotations as a measure of interobserver error.
The proposed method successfully segmented the heart region and detected the position of the top of the right hemidiaphragm for motion probe setting in 48 datasets from 15 healthy volunteers. The processing time was approximately 1.6 seconds (2.5 GHz CPU, single-thread processing). The interobserver error was also measured for 15 datasets from 15 healthy volunteers manually annotated by two operators. The average Euclidean distance error and the interobserver error were 11.04±4.73 and 14.76±19.13 mm, respectively.
Our previously proposed automatic planning assist system has been extended to motion probe setting. The results of the present study showed that the position of the top of the right hemidiaphragm could be detected by our method almost as accurately as by manual annotation. It is expected that this method should be useful in the clinical setting.
No funding was received for this research.
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.