Abstract
Accurate and efficient reconstruction of blood vessels is a common problem in several medical imaging applications. Detection of blood vessels in computed tomography (CT) images is essential in diagnosis and surgical planning. In low-dose CT seniors, the detectability of blood vessels is challenging due to the existence of statistical noise and/or streak artifacts. In this paper, we present a method for blood vessel reconstruction and detection in low-dose CT. Prior information concerning the shape of the blood vessels is incorporated into the image reconstruction process to improve the image quality and vessels detectability. The proposed method is implemented through a simultaneous reconstruction and detection of the vessels, which is the original contribution of this paper. The proposed method is tested using real data and experimental results demonstrate that the proposed method is potentially useful in clinical use.
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