One of the main aspects in computed tomography (CT) development is to make CT rapidly scan a large longitudinal volume with high z-axis resolution. The combination of helical scanning with multi-slice CT is a promising approach. Image reconstruction in multi-slice CT becomes, therefore, the major challenge. Known algorithms need to derive the complementary data or work only for certain range of pitches. A reconstruction algorithm was presented that works with the direct data as well as arbitrary pitches. Filter interpolation based on the proposed method was implemented easy. The results of computer simulations under kinds of conditions for four-slice CT were presented. The proposed method can obtain higher efficiency than the conventional method.
There is a requirement for the development of CT to scan rapidly large longitudinal volume with high z-axis resolution. The combination of spiral scanning with multi-slice CT is a promising approach. The algorithm of image reconstruction for multi-slice spiral CT becomes, therefore, the main challenge. All algorithms known to the authors either need to derive the complementary data or work only for certain range of pitch values. This paper presents a novel reconstruction algorithm that can omit the derivations of the complementary data and work for arbitrary pitch values. The filter interpolation based on the proposed method is also easy to be implemented. The method is, thus, versatile. The results of computer simulations show that we can choose a combination of scan and filter parameters to meet the purpose of the examination.
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