Quantitative analysis of rib movement based on dynamic chest bone images: preliminary results

Tanaka, Rie; Sanada, Shigeru; Oda, Makoto; Mitsutaka, Morita; Suzuki, Kenji; Sakuta, Keita; Kawashima, Hiroki

doi:10.1117/12.2043202

Cited by 2 publications

(1 citation statement)

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“…2(a)] with the block size set to be almost the same as the intercostal space such that each rib motion can be analyzed separately in each block. 13,21 Velocity vectors, i.e., vector field, were measured in each block to estimate the direction and speed of rib motion from one image to another (MATLAB ver. 2012b; MathWorks, Natick, Massachusetts).…”

Section: Image Analysismentioning

confidence: 99%

Quantitative analysis of rib kinematics based on dynamic chest bone images: preliminary results

et al. 2015

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An image-processing technique for separating bones from soft tissue in static chest radiographs has been developed. The present study was performed to evaluate the usefulness of dynamic bone images in quantitative analysis of rib movement. Dynamic chest radiographs of 16 patients were obtained using a dynamic flat-panel detector and processed to create bone images by using commercial software (Clear Read BS, Riverain Technologies). Velocity vectors were measured in local areas on the dynamic 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 a reduced rib velocity field, resulting in an asymmetrical distribution of rib movement. Vector maps in all normal cases exhibited left/right symmetric distributions of the velocity field, whereas those in abnormal cases showed asymmetric distributions because of locally limited rib movements. Dynamic bone images were useful for accurate quantitative analysis of rib movements. The present method has a potential for an additional functional examination in chest radiography.

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Section: Image Analysismentioning

confidence: 99%