Image analysis of pulmonary nodules using micro CT

Noboru Niki; Yoshiki Kawata; Masashi Fujii; Ryutaro Kakinuma; Noriyuki Moriyama; Yukio Tateno; Eisuke Matsui

doi:10.1117/12.431149

3 July 2001 Image analysis of pulmonary nodules using micro CT

Noboru Niki, Yoshiki Kawata, Masashi Fujii, Ryutaro Kakinuma, Noriyuki Moriyama, Yukio Tateno, Eisuke Matsui

Proceedings Volume 4322, Medical Imaging 2001: Image Processing; (2001) https://doi.org/10.1117/12.431149
Event: Medical Imaging 2001, 2001, San Diego, CA, United States

Abstract

We are developing a micro-computed tomography (micro CT) system for imaging pulmonary nodules. The purpose is to enhance the physician performance in accessing the micro- architecture of the nodule for classification between malignant and benign nodules. The basic components of the micro CT system consist of microfocus X-ray source, a specimen manipulator, and an image intensifier detector coupled to charge-coupled device (CCD) camera. 3D image reconstruction was performed by the slice. A standard fan- beam convolution and backprojection algorithm was used to reconstruct the center plane intersecting the X-ray source. The preprocessing of the 3D image reconstruction included the correction of the geometrical distortions and the shading artifact introduced by the image intensifier. The main advantage of the system is to obtain a high spatial resolution which ranges between b micrometers and 25 micrometers . In this work we report on preliminary studies performed with the micro CT for imaging resected tissues of normal and abnormal lung. Experimental results reveal micro architecture of lung tissues, such as alveolar wall, septal wall of pulmonary lobule, and bronchiole. From the results, the micro CT system is expected to have interesting potentials for high confidential differential diagnosis.

Citation Download Citation

Noboru Niki, Yoshiki Kawata, Masashi Fujii, Ryutaro Kakinuma, Noriyuki Moriyama, Yukio Tateno, and Eisuke Matsui "Image analysis of pulmonary nodules using micro CT", Proc. SPIE 4322, Medical Imaging 2001: Image Processing, (3 July 2001); https://doi.org/10.1117/12.431149

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