基于图像分割的双能CT不完备数据重建算法优化研究

基金项目:

国家自然科学基金青年科学基金(11305073)

详细信息

Improvement on Dual Energy CT Reconstruction Algorithm from Incomplete Data Based on Image Segmentation

1. Nuclear and Radiation Safety Center, Ministry of Environmental Protection of P.R. China, Beijing 100082, China;
2. Department of Engineering Physics, Tsinghua University, Beijing 100084, China;
3. Key Laboratory of Particle & Radiation Imaging of Ministry of Education (Tsinghua University), Beijing 100084, China

摘要: 本文针对基于图像分割的双能CT不完备数据重建算法，提出了图像分割过程和方程组求解环节是优化算法的两个关键点，同时给出了初步优化方法。初步实验结果表明这两方面因素选取的优劣将直接影响重建图像质量。因此，根据实际应用需求，如能改善这两方面因素，基于图像分割的双能CT不完备数据重建算法的重建性能将会进一步提高。
- 双能CT /
- 图像分割 /
- 不完备数据 /
- 优化
Abstract: Dual-energy CT can be used for computing atomic number and electron density. As a result, we can discriminate unknown materials. Spectrum estimation is the fn'st step in dual-energy CT. Its accuracy directly affects dual-energy CT results. However, no systematic studies concerning how spectrum estimation accuracycontributing to reconstruction results have been worked out up to now. This work employs photoelectric-Compton decomposition dual-energy CT reconstruction method. We quantitatively analyze the propagation process from spectrum estimation error to dual-energy CT results and give theoretical calculation method. We propose one way to define spectrum error for dual-energy CT and give the concept of equivalent spectrum. Simulations are shown to support our work.
- dual energy CT /
- image segmentation /
- incomplete data /
- improvement