Optimization of Medical CT Data with High Precision

Abstract

AbstractThe precision of medical CT data has an important effect on the CT image reconstruction precision. In this paper, we present a novel approach for optimizing the raw CT data acquired by scanner. The approach can effectively improve the raw CT data precision, and consequently, improve the reconstruction precision. The new approach is based on the fact that the raw CT data can be regarded as the area samples of human density, and the point samples are more accurate than the area samples. The new approach transforms the raw area samples to more accurate point samples to improve the CT data precision by three steps: 1) establish the mapping relationship between area samples and point samples; 2) Segment the raw CT slice into different regions based on the human tissue feature; 3) in each segmented region, construct quadric spline fitting equation with the mapping relationship to transform the area samples to more accurate point samples. Experiments show that the image reconstruction with the new data o...