The Experimental Study on Geometric Calibration and Material Discrimination for In Vivo Dual-Energy CT Imaging

Author:

Deng Gang12,Chen Mianyi2,He Peng234ORCID,Wang Xing1,Wu Xiaochuan2,Guo Xiaodong2,Li Pengcheng2,Wei Biao234ORCID,An Kang3,Zheng Xiaolin14,Feng Peng234ORCID

Affiliation:

1. The Key Laboratory of Rheological Science and Technology of the Education Ministry of China, Chongqing University, Chongqing 400044, China

2. The Key Lab of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, China

3. ICT Engineering Research Center of Ministry of Education, Chongqing University, Chongqing 400044, China

4. Collaborative Innovation Center for Brain Science, Chongqing University, Chongqing 400044, China

Abstract

Photon-counting detector (PCD) can identify absorption features in the multiple ranges of photon energies, which has a great potential in material discrimination. In this paper, we focused on in vivo dual-energy CT imaging to characterize different biomedical compositions. The precision of material decomposition in post-reconstruction space depends on the quality of reconstructed CT images; we used the locally linear embedding (LLE) based online geometric calibration method and GPU-based reconstruction toolbox to reconstruct high-quality CT images. Then, we performed the real experiment and studied materials decomposition with basis material model to discriminate soft tissue and cortical bone of small animal. Finally, the experimental results demonstrated that the proposed method could reconstruct small animal CT images with more slim structures and details, and improve the precision of materials decomposition in dual-energy CT imaging.

Funder

National Key R&D Program of China

Publisher

Hindawi Limited

Subject

General Immunology and Microbiology,General Biochemistry, Genetics and Molecular Biology,General Medicine

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