Cupping Artifacts Calibration in CT Image Based on Radon Transform
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摘要: 目的:目前的射束硬化校正算法大多需要能谱、检测器特性等信息。针对硬化校正的复杂性,提出一种基于图像后处理的硬化校正方法。方法:首先将带有杯状伪影的水模体CT图像中水的部分分割出来并对其做Radon变换以获取水的投影信息,以此信息构建带有未知系数的校正模型;然后将校正模型与理想图像对比,当它们之间的差异最小时,确定出校正模型的未知系数。利用确定出来的系数和预校正图像软组织的投影信息组合成的校正模型校正实际CT图像,以此消除实际CT图像中的硬化杯状伪影。结果:通过模拟数据验证表明,该方法能去除医用CT中由于射束硬化而引起的杯状伪影。结论:本文提出的方法在不需要能谱信息及投影数据的情况下就能进行杯状伪影的校正,提高了硬化校正的灵活性。Abstract: Objective: At present, most of beam hardening calibration algorithms required spectrum, the detector characteristics and other information. As the beam hardening calibration algorithm's complexity, we propose a method based on image post-processing. Methods: Firstly, the water portion with cupping artifacts is segmented in the water phantom CT image and done Radon transform to obtain projection information. The calibration model with unknown coefficients is built with above projection information. Secondly, an ideal water phantom image without beam hardening artifacts is constructed and compared with calibration model. When the difference between them is minimal, the unknown coefficients of correction model is determined. Finally, use the calibration model that combined the determined parameter and the projection information of segmented soft tissue to correct the practical CT images so that eliminate the cupping artifacts. Results: The result of computer simulation shows that this method can efficiently remove the cupping beam hardening due to a medical CT beam-hardening caused. Conclusion: The proposed method without need for projection data and spectrum information can be carried out in beam hardening cupping artifacts calibration, improved beam hardening correction flexibility.
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Keywords:
- beam-hardening /
- calibration /
- CT image /
- Radon transform /
- cupping artifacts
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期刊类型引用(4)
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百度学术
2. 张秀琰，陈明，郑永果. 一种X射线射束硬化校正方法. 软件. 2020(02): 256-259 . 百度学术
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4. 张小可，杨昆，陈锦涛，薛林雁，李晓苇. 基于投影空间的CT射束硬化校正方法. 河北大学学报(自然科学版). 2018(06): 648-655 . 百度学术
其他类型引用(4)
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