罗守华，男，太阳成城集团tyc234cc古天乐智能医学系教授、博导，长期从事医学图像分析、X线CT成像理论与方法研究、软硬件系统开发及应用方面的工作。承担了国家级、省级及企业课题共20多项，包括国家自然科学基金项目5项、科技部重点研发项目1项、江苏省科技厅重点项目3项等。研制出高分辨CT（分辨率最高500纳米）、小动物显微CT及小动物能谱CT设备。开发AI辅助医学图像和视频识别、跟踪算法，可实现医学影像的在线辅助诊断、质控和教学。发表SCI、EI收录文章50余篇，主要发表于Med Phys.、Phys Med Biol.、Adv. Healthcare Mater.、科学通报、Sensing & Imaging等科学期刊；授权国家发明专利10余项。
主持和承担的主要科研项目：
1.江苏省前沿引领技术基础研究专项, BK20222002, MPI-能谱CT双模态成像设备研制及应用技术开发, 2022/10-2027/09
2.江苏省重点研发计划，BE2022828，基于运动控糖站和5G+智能信息系统的体卫融合糖尿病三级预防关键技术科技示范（负责颈动脉超声影像的自动分析和诊断），2022/09-2025/06
3.国家自然科学基金面上项目，61871126，基于深度学习的低剂量显微CT高质量成像方法研究，2019/01-2022/12
4.国家重点研发计划，2017YFA0104302，干细胞移植示踪的影像分析技术，2017/07 – 2021/12
5.国家自然科学基金面上项目，61179035，基于压缩感知的小动物CT成像放射剂量控制和超分辨率问题的研究，2012/01-2015/12
6.国家自然科学基金专项基金项目，61127002，细胞团显微成像与分析用高分辨率X-CT研究，2012/01-2015/12
7.在研和已完成的横向课题约20项
代表性文章：
1.Liu Z, Wang Y, Ma C, Li Y, Luo S*. RetinexCT-Net: A Method for Suppressing Brightness Inconsistency Artifacts in Multi-Source Static CT[C]. Sensing and Imaging, 2025, 26(1): 1-18.
2.Feng Y, Liu J, Ji Y, Luo S*. Multi-scale image artifacts removal network for reducing limited-angle artifacts of CL system[J]. Sensing and Imaging, 2025, 26(1): 1-17.
3.Liu J, Li G, Zhao Q, Luo S*. Data Regularization for Streak Artifacts Removal in Self-Supervised Micro-CT Denoising[J]. IEEE Transactions on Radiation and Plasma Medical Sciences, 2025, 9(5): 627-638.
4.Ma C, Wang Y, Zha K, Li Y, Luo S*. DTV-NET: An Iterative Reconstruction Network for Incomplete Projections in Static CT[J]. IEEE Transactions on Instrumentation and Measurement, 2025, 74: 1-14.
5.Cheng H, Shi Z, Qi Z, Wang X, Guo G, Fang A, Jin Z, Shan C, Chen R, Du Y, Qian S, Luo S*, Yao J*. Deep‐learning based multibeat echocardiographic cardiac phase detection[J]. Med Phys., 2025.
6.Cheng H, Shi Z, Qi Z, Wang X, Guo G, Fang A, Jin Z, Shan C, Du Y, Chen R, Qian S, Luo S*, Yao J*. Deep Learning-based Video-level View Classification of Two-dimensional Transthoracic Echocardiography[J]. Biomedical Physics & Engineering Express, 2025, 11: 025038.
7.Shan C, Zhang Y, Liu C, Jin Z, Cheng H, Chen Y, Yao J*, Luo S*. LSMD: Long-Short Memory-Based Detection Network for Carotid Artery Detection in B-mode Ultrasound Video Streams[J]. IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, 2024, 71(11):1464-1477.
8.Zha K, Zhao Q, Luo S*, Li Y. Bilateral extended FDK: An improved weighting method for static CT imaging[J]. Med Phys., 2024, 51(1): 251-266.
9.Li G, Chen X, You C, Huang X, Deng Z, Luo S*. A nonconvex model‐based combined geometric calibration scheme for micro cone‐beam CT with irregular trajectories[J]. Med Phys., 2023, 50(5): 2759-2774.
10.Zhao Q, Li J, Li Y, Luo S*. Super-resolution model-based iterative reconstruction for lens-coupled micro-CT imaging[J]. Measurement Science and Technology, 2023, 34(8): 085401.
11.Zhou J, Li G, Wang R, Luo S*. A Novel Contrastive Self-Supervised Learning Framework for Solving Data Imbalance in Solder Joint Defect Detection[J]. Entropy, 2023, 25(2): 268.
12.Yan D, Zhao Q, Zheng L, Zhou X, Luo S*. SSRNet: A CT Reconstruction Network Based on Sparse Connection and Weight Sharing for Parameters Reduction[J]. Sensing and Imaging, 2022, 23(1): 14.
13.Yao W, Chen L, Wu H, Zhao Q, Luo S*. Micro-CT image denoising with an asymmetric perceptual convolutional network[J].Phys. Med. Biol., 2021, 66(13): 135018.
14.Luo S, Zheng L, Luo S, Gu N, Tang X. Data sustained misalignment correction in microscopic cone beam CT via optimization under the Grangeat Epipolar consistency condition[J]. Med Phys., 2020, 47(2): 498-508.
15.Chen L, Zheng L, Lian M, Luo S*. A C-GAN denoising algorithm in projection domain for micro-CT[J]. Molecular & Cellular Biomechanics, 2020, 17(2): 85.
16.Cui X, Mili L, Bechwati I, Luo S*. Robust regression-based estimation of isocenter offset with subpixel precision in tomographic image reconstruction[J]. Journal of Medical Imaging, 2019, 6(4): 047002-047002.
17.Gu X, Li G, Gu N, Luo S*. Experimental Research of In Vivo Mouse Cardiac 4D Micro-CT Imaging via Deformation Vector Field Registration[J].Sensing and Imaging, 2019, 20(1): 25.
18.Li G, Luo S, You C, Getzin M, Zheng L, Wang G and Gu N*. A novel calibration method incorporating nonlinear optimization and ball‐bearing markers for cone-beam CT with a parameterized trajectory[J]. Med Phys., 2019, 46(1): 152-164.
19.Luo S, Shen T, Sun Y, Li J, Li G and Tang X*. Interior tomography in microscopic CT with image reconstruction constrained by full field of view scan at low spatial resolution[J]. Phys. Med. Biol., 2018, 63(7).
20.Luo S, Luo S*. An Epipolar Based Algorithm for Respiratory Signal Extraction of Small Animal CT[J]. Sensing & Imaging, 2018, 19(1): 4.
21.Luo S, Wu H, Sun Y, Li J, Li G and Gu N*. A fast beam hardening correction method incorporated in a filtered back-projection based MAP algorithm[J].Phys. Med. Biol. 2017, 62(5): 1810.
22.Peña D M, Luo S*, and Abdelgader A M S. Auto Diagnostics of Lung Nodules Using Minimal Characteristics Extraction Technique[J]. Diagnostics, 2016, 6(1): 13.
23.Li G, Luo S, Yan Y, Gu N*. A method of extending the depth of focus of the high-resolution X-ray imaging system employing optical lens and scintillator: a phantom study[J]. BioMedical Engineering OnLine, 2015, 14: 1-14.
24.王硕然, 鄢志鸿, 孙亦宸, 王琦*, 罗守华*. 基于 X 射线吸收光谱全能谱拟合的金属薄膜面密度测量方法[J]. 激光与光电子学进展, 2024, 61(5): 0512003.
25.杜悦, 史中青, 戚占如, 曾子炀, 郭冠军, 姚静, 罗守华, 顾宁*. 一种超声心动图关键帧智能检测方法[J]. 南京医科大学学报 (自然科学版), 2024 (2): 253-262.
26.成汉林, 史中青, 戚占如, 王小贤, 曾子炀, 单淳劼, 钱隼南, 罗守华, 姚静*. 基于深度学习的超声心动图动态图像切面识别研究[J]. 中华医学超声杂志, 2024, 21(02): 128-136.
27.许润泽, 罗守华*, 鄢志鸿, 刘鹏飞. 基于光线重排的印制电路板高速扫描成像迭代去模糊方法研究[J]. 国外电子测量技术, 2024, 43(1): 52-59.
28.汤玉玲, 赵庆贤, 刘家铭, 罗守华*. 基于显微 CT 影像的靶丸表面缺陷检测方法[J]. 强激光与粒子束, 2024, 36(1): 012001-012001.
29.陈瑞阳, 周静, 王瑞丰, 刘鹏飞, 罗守华*. 电子元器件缺陷检测模型的自动训练系统[J]. 电子测量技术, 2024, 46(24): 31-40.
30.鄢志鸿，季续，许润泽，王硕然，罗守华*. 基于光子计数器能谱响应优化的能谱CT造影剂K边缘分解方法[J]. 中国体视学与图像分析, 2023,28(01):64-76.
31.曾子炀,成汉林,周静,刘鹏飞,罗守华*. 一种射频芯片检测中的邦球邦线识别方法[J]. 电子测量技术, 2023,46(05):129-134.
32.罗守华*, 倪杨阳, 郑慧芬, 曹胜武. 多模影像的脑深部电刺激术后效果评估管线的设计与实现[J].生物医学工程学杂志, 2019, 36(3): 356-363.
33.蒋建慧, 姚静, 张艳娟, 赵海桐, 许迪, 罗守华*. 基于深度学习的超声自动测量左室射血分数的研究[J]. 临床超声医学杂志, 2019, 21(01):76-80.
34.贺凯, 许迪, 蔡雨蒙, 刘云, 罗守华*. 超声质控中视频交互关键技术的研究和开发[J]. 临床超声医学杂志, 2018, 20(10):72-75.
35.孙翌，沈涛，吴华珍，李光，罗守华，顾宁*. 细胞团成像与分析用高分辨显微CT系统的研究[J]. 中国科学基金, 2016, 30(4): 320-324.
36.姚佳丽，李中源，吴华珍，李光，罗守华*. 基于字典学习的超分辨率显微CT 图像重建[J]. 太阳成城集团tyc234cc古天乐学报(自然科学版), 2016, 46(5): 957-963.
37.李中源, 李光, 孙翌, 陈功, 罗守华*. 一种基于全局字典学习的小动物低剂量计算机断层扫描降噪方法[J]. 生物医学工程学杂志, 2016, 33(2): 279-286.
38.薄腾飞，崔燕南，钱砾，罗守华*. CBCT系统的X射线管组合机头控制系统设计与实现[J]，生物医学工程学杂志，2013, 30(4): 838-842
39.李光，罗守华，顾宁*. Nano CT成像进展[J]，科学通报，2013, 58(7): 501-509.
会议论文选录：
1.Wang Y, Ma C, Zha K, Li Y, Luo S*. An iterative reconstruction network for incomplete projections of static CT[C]. SPIE Medical Imaging 2024: Physics of Medical Imaging, 2024, 12925: 354-361.
2.Li Y, Li J, Wang T, Lian M, Luo S*. Micro-CT imaging of super-resolution MBIR algorithm based on sub-pixel displacement[C]. SPIE Medical Imaging 2020: Physics of Medical Imaging, 2020, 11312: 916-923.
3.Zheng L, Luo S, Chen L, Luo S*. Self-geometric calibration of circular cone beam CT based on epipolar geometry consistency[C]. SPIE Medical Imaging 2019: Physics of Medical Imaging,2019,10948: 657-671.
4.Li Z, Li G, Sun Y, Luo S*. Ring artifacts removal via spatial sparse representation in cone beam CT[C]. SPIE Medical Imaging 2016: Physics of Medical Imaging, 2016, 9783: 779-784.
5.Jiang R, Li G, Gu N, Chen G, Luo S*. A wire scanning based method for geometric calibration of high resolution CT system[C]. SPIE Medical Imaging 2015: Physics of Medical Imaging, 2015, 9412: 626-632.
6.Jiang T, Luo S*, Yan Y. Software for automatic analysis of image and sound data simultaneously acquired from high speed videoendocopy[C]，SPIE Photonic Therapeutics and Diagnostics IX, 2013, 8565: 297-304.
发明专利选录:
1.罗守华，李静，一种X射线超分辨成像方法及其应用 ZL201810561460.X 国家发明专利
2.罗守华，郑良，李光，一种X射线级联显微成像系统 ZL2017112818984 国家发明专利
3.罗守华，沈涛，李光，顾宁，基于小球模体的锥束CT系统几何参数评价及校正方法（WO2018126335A1）PCT国际专利
4.罗守华，杨晶，李光，顾宁，小动物多模态医学影像配准及融合系统（ZL201410820738.2）国家发明专利
5.罗守华，王小龙，李光，顾宁，一种X射线闪烁体成像系统的光场捕捉和后处理方法（ZL20141072004.9）国家发明专利
联系邮箱：luoshouhua@seu.edu.cn