| Budget Amount *help |
¥3,770,000 (Direct Cost: ¥2,900,000、Indirect Cost: ¥870,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2014: ¥2,080,000 (Direct Cost: ¥1,600,000、Indirect Cost: ¥480,000)
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| Outline of Final Research Achievements |
Digital subtraction angiography (DSA) is a technique used to visualize blood vessels. However, coronary arteries are difficult to visualize because of the incidence of heavy motion artifacts that occur due to a patient’s heartbeat and respiratory cycle. Therefore, the purpose of this study was to develop a new DSA technique for coronary artery angiography that reduces motion artifacts and enhances small vessels and to develop a processing algorithm that requires the minimal use of contrast agent for X-ray imaging. We used a neural network technique to produce “mask images.” The experimental result demonstrated that the coronary artery and the carotid artery and vein were visualized in DSA images with clarity with extremely low levels of motion artifacts as compared with that observed in conventional DSA. Movement of the C-arm during image acquisition did not affect the visualization of the coronary artery in the DSA images.
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