@inproceedings{oai:kitami-it.repo.nii.ac.jp:00007542, author = {Hayakawa, Y. and Miyoseta, Y. and Yamashita, H. and Sagawa, M.}, book = {International Journal of Computer Assisted Radiology and Surgery}, issue = {1 Suppl.}, month = {Jun}, note = {To develop the superficial vascular imaging system using near infrared radiation and tomo-synthesis algorithm, Tuned-Aperture Computed Tomography. Near infrared sensitive CCD camera was surrounded by approximately sixty light emitting diodes, which have alternating wavelengths of 700 nm and 810 nm. NIR-sensitive camera detected the reflected NIR from superficial subcutaneous tissues. By rotating the camera and LEDs, multiple near infrared projections of superficial vascular images were obtained at each wavelength, and tomo-synthesis algorithm in accordance with the optical aperture theory was applied to a group of images. The depth discrimination was obtained by the TACT program. Due to the difference and similarity in the absorption coefficients at 700 nm, 810 nm and 940 nm wavelength, the venous oxygenation index (VOI) was estimated by signal intensities at each wavelength. The VOI was seemed to reflect the oxygen saturation level. Results: The superficial vascular imaging system using near infrared radiation and tomo-synthesis algorithm created thin tomograms of superficial vascular subcutaneous tissues. Changes in VOL after the load test were more significantly observed on tomograms than on projection images. The superficial vascular imaging system using near infrared radiation and tomo-synthesis algorithm enable to carry out the non-invasive tomograms and provide estimates of in oxygen saturation. Also we confirmed that the system is the beneficial tool for finding subcutaneous foreign bodies., Proceedings of the 22nd International Congress and Exhibition, Barcelona, Spain, June 25-28, 2008}, pages = {S26--S27}, publisher = {Springer}, title = {Superficial vascular imaging system using near infrared radiation and tomo-synthesis algorithm, Tuned-Aperture Computed Tomography}, volume = {3}, year = {2008} }