By Simon Göppel

This paper addresses the challenge of reconstructing image features from limited X-ray CT data. We propose a direct feature reconstruction method that bypasses the need for computing a full image. By considering the specific characteristics of the features, our approach ensures accurate and reliable reconstruction, even with incomplete data. Experimental results demonstrate the effectiveness of our method in reconstructing features from various limited data scenarios. Our framework offers a promising solution to improve feature reconstruction in X-ray CT imaging with limited data.

For more information: https://www.mdpi.com/2227-7390/10/8/1318