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Proceedings Paper

Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results
Author(s): R. Tanaka; S. Sanada; M. Oda; M. Mitsutaka; K. Suzuki; K. Sakuta; H. Kawashima
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Paper Abstract

Rib movement during respiration is one of the diagnostic criteria in pulmonary impairments. In general, the rib movement is assessed in fluoroscopy. However, the shadows of lung vessels and bronchi overlapping ribs prevent accurate quantitative analysis of rib movement. Recently, an image-processing technique for separating bones from soft tissue in static chest radiographs, called “bone suppression technique”, has been developed. Our purpose in this study was to evaluate the usefulness of dynamic bone images created by the bone suppression technique in quantitative analysis of rib movement. Dynamic chest radiographs of 10 patients were obtained using a dynamic flat-panel detector (FPD). Bone suppression technique based on a massive-training artificial neural network (MTANN) was applied to the dynamic chest images to create bone images. Velocity vectors were measured in local areas on the dynamic bone images, which formed a map. The velocity maps obtained with bone and original images for scoliosis and normal cases were compared to assess the advantages of bone images. With dynamic bone images, we were able to quantify and distinguish movements of ribs from those of other lung structures accurately. Limited rib movements of scoliosis patients appeared as reduced rib velocity vectors. Vector maps in all normal cases exhibited left-right symmetric distributions, whereas those in abnormal cases showed nonuniform distributions. In conclusion, dynamic bone images were useful for accurate quantitative analysis of rib movements: Limited rib movements were indicated as a reduction of rib movement and left-right asymmetric distribution on vector maps. Thus, dynamic bone images can be a new diagnostic tool for quantitative analysis of rib movements without additional radiation dose.

Paper Details

Date Published: 21 March 2014
PDF: 6 pages
Proc. SPIE 9034, Medical Imaging 2014: Image Processing, 903437 (21 March 2014); doi: 10.1117/12.2043202
Show Author Affiliations
R. Tanaka, Kanazawa Univ. (Japan)
S. Sanada, Kanazawa Univ. (Japan)
M. Oda, Kanazawa Univ. Hospital (Japan)
M. Mitsutaka, Kanazawa Univ. Hospital (Japan)
K. Suzuki, The Univ. of Chicago (United States)
K. Sakuta, Kanazawa Univ. Hospital (Japan)
H. Kawashima, Kanazawa Univ. Hospital (Japan)

Published in SPIE Proceedings Vol. 9034:
Medical Imaging 2014: Image Processing
Sebastien Ourselin; Martin A. Styner, Editor(s)

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