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作 者:方丽萍 袁瑛[1] 陶晓峰[1] FANG Liping;YUAN Ying;TAO Xiaofeng(Department of Radiology,Shanghai Ninth People’s Hospital,Shanghai Jiaotong University School of Medicine,Shanghai 200011,China)
机构地区:[1]上海交通大学医学院附属第九人民医院放射科,上海200011
出 处:《实用放射学杂志》2024年第4期659-662,共4页Journal of Practical Radiology
基 金:国家自然科学基金面上项目(82172051)。
摘 要:目的探讨基于统一计算设备架构(Cuda)实现的改进体绘制算法在CT血管图像三维重建中的应用价值。方法选取行头颈部血管和冠状动脉CT血管成像(CTA)检查的患者各5例,分别采用传统Bounding-Box算法和基于Cuda的体绘制重建方法进行血管三维重建,对比2种算法的重建速度和重建效果。结果在RTX2060显卡运行传统算法1帧文本耗时50~60 ms,运行本研究的算法1帧文本耗时25~35 ms,本研究的算法提速约1倍;在RTX3060运行本研究的算法1帧文本耗时18~23 ms,RTX3060提速约1倍。10例重建结果均显示本研究的算法对头颈部小血管和心脏冠状动脉末端有更清晰的显示。结论基于Cuda开发框架相对于传统Bounding-Box算法,实现了更快的渲染速度和更好的图像质量。Objective To explore the application value of an improved volume rendering algorithm based on Cuda in CT vascular imaging three-dimensional reconstruction.Methods Five cases of head and neck vascular computed tomography angiography(CTA)examinations and five cases of coronary CTA examinations were selected.The traditional Bounding-Box algorithm and the Cuda-based volume rendering reconstruction method were used for vascular three-dimensional reconstruction.The reconstruction speed and quality of the two algorithms were compared.Results Running the traditional algorithm on an RTX2060 graphics card took 50-60 ms per frame,while running the algorithm described in this study took 25-35 ms per frame,resulting in approximately a 1x speed improvement.On an RTX3060,the algorithm described in this study took 18-23 ms per frame,resulting in approximately a 1x speed improvement.The reconstruction results from all ten cases demonstrated that the algorithm described in this study provided clearer visualization of small blood vessels in the head and neck region and the distal coronary arteries.Conclusion The Cuda-based development framework achieves faster rendering speed and better image quality compared to the traditional Bounding-Box algorithm.
分 类 号:R814.43[医药卫生—影像医学与核医学] R814.49[医药卫生—放射医学]
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