刘天帅,戎军艳,张文立,高鹏,刘洋,卢虹冰

• 1:空军军医大学军事生物医学工程学系
• 2:陕西省生物电磁检测与智能感知重点实验室

摘要(Abstract)：

X射线激发光学断层成像(X-ray luminescence computed tomography, XLCT)是一种结合X射线激发和光学探测的先进成像技术，在医学影像、材料科学及生物医学工程等领域具有广泛应用。随着该技术的不断发展，其研究成果不仅推动了科学研究的进步，也为高等教育特别是医学物理学、医学影像学及相关学科的教学提供了新的资源和方法。本文探讨XLCT研究如何反哺医学物理教学，包括促进跨学科融合、优化实验教学体系、推动问题导向学习(PBL)模式以及改进考核评估体系等方面，旨在为高校教学改革提供理论支持和实践方案。实践效果分析表明，XLCT研究可有效反哺高校教学，提升学生的创新能力和实践水平，为培养高素质复合型人才提供有力支持。

关键词(KeyWords)： X射线激发光学成像(XLCT);教学反哺;跨学科融合;实验教学;问题导向学习(PBL)

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金(12305350;12275355);; 国家重点研发计划(2023YFF0715400;2023YFF0715401)

作者(Author): 刘天帅,戎军艳,张文立,高鹏,刘洋,卢虹冰

参考文献(References)：

• [1] 殷芳芳，杨振宇，蔡璟，等.中国医学物理学科的建设与探索专家共识[J].中国医学物理学杂志，2024,41(4):397-403.YIN F F,YANG Z Y,CAI J,et al.Expert consensus on the construction and exploration of medical physics discipline in China[J].Chinese Journal of Medical Physics,2024,41(4):397-403.(in Chinese)
• [2] 王小力，王傅民，吕腾博.医工学科交叉“物理治疗医学”课程建设研究与实践[J].中国大学教学，2024,9:21-26.WANG X L,WANG F M,LV T B.Research and practice on the curriculum construction of “Physical Therapy Medicine” in the interdisciplinary field of medicine and engineering[J].China University Teaching,2024,9:21-26.(in Chinese)
• [3] LIU T S,RONG J Y,HAO W Q,et al.Cone-beam X-ray luminescence computed tomography based on MLEM with adaptive FISTA initial image[J].Computer Methods and Programs in Biomedicine,2023,229:107265.
• [4] PRATX G,CARPENTER C,SUN C,et al.X-Ray Luminescence Computed Tomography via Selective Excitation:A Feasibility Study[J].IEEE Transactions on Medical Imaging,2010,29:1992-1999.
• [5] 董仕练，唐涵.以拉曼光谱技术为引：浅谈大学物理实验中的医学和物理学科交融[J].物理与工程，2022,32(4):150-155.DONG S L,TANG H.Taking Raman spectroscopy technology as an example:A brief discussion on the integration of medicine and physics in college physics experiments[J].Physics and Engineering,2022,32(4):150-155.(in Chinese)
• [6] ZHANG H,HAI L,KOU J,et al.OPK_SNCA:Optimized prior knowledge via sparse non-convex approach for cone-beam X-ray luminescence computed tomography imaging[J].Computer Methods and Programs in Biomedicine,2022,215:106645.
• [7] LIU T S,RONG J Y,GAO P,et al.Regularized reconstruction based on joint L1 and total variation for sparse-view cone-beam X-ray luminescence computed tomography[J].Biomedical Optics Express,2019,10(1):1-17.
• [8] 韩景灏，贾梦宇，周仲兴，等.采用光子计数测量的高灵敏度锥束XLCT[J].中国激光，2024,51(3):21-27.HAN J H,JIA M Y,ZHOU Z X,et al.High-sensitivity cone-beam XLCT using photon-counting measurement[J].Chinese Journal of Lasers,2024,51(3):21-27.(in Chinese)
• [9] 张文元，海琳琦，刘英杰，等.一种基于改进多光谱的稀疏角CB-XLCT成像方法[J].计算机与现代化，2022,5:96-101.ZHANG W Y,HAI L Q,LIU Y J,et al.A sparse-angle CB-XLCT imaging method based on improved multispectral technique[J].Computer and Modernization,2022,5:96-101.(in Chinese)
• [10] LIU T S,HUANG S E,LI R J,et al.Dual and Multi-Target Cone-Beam X-ray Luminescence Computed Tomography Based on the DeepCB-XLCT Network[J].Bioengineering (Basel,Switzerland),2024,11(9):874.
• [11] WANG Y F,WANG H Y,ZHU Q Q,et al.SBL-LCGL:sparse Bayesian learning based on Laplace distribution for robust cone-beam x-ray luminescence computed tomography[J].Physics in Medicine & Biology,2024,69(17):175020.
• [12] 周仲兴，郭司琪，贾梦宇，等.基于分组注意力残差网络的锥束XLCT成像[J].天津大学学报(自然科学与工程技术版),2022,55(10):1082-1092.ZHOU Z X,GUO S Q,JIA M Y,et al.Cone-beam XLCT imaging based on grouped attention residual network[J].Journal of Tianjin University (Science and Technology),2022,55(10):1082-1092.(in Chinese)
• [13] HONG Z,CHEN Z,CHEN Q,et al.Advancing X-ray Luminescence for Imaging,Biosensing,and Theragnostics[J].Accounts of Chemical Research,2023,56(1):37-51.
• [14] PEI P,CHEN Y,SUN C X,et al.X-ray-activated persistent luminescence nanomaterials for NIR-II imaging[J].Nature Nanotechnology,2021,16(9):1011-1018.
• [15] 徐鹏，吕辉，马新国.电磁特性研究反哺电磁波教学——从粗糙面散射、透射和吸收看懂菲涅耳反射、折射和布儒斯特角[J].物理与工程，2024,34(6):19-26.XU P,LV H,MA X G.Research on electromagnetic characteristics feeding back to electromagnetic wave teaching—Understanding Fresnel reflection,refraction and Brewster's angle from rough-surface scattering,transmission and absorption[J].Physics and Engineering,2024,34(6):19-26.(in Chinese)
• [16] 戎军艳，高鹏，刘天帅，等.X射线诊疗创新平台助力医学物理本硕博学生培养[J].物理与工程，2024,34 (5):121-126,197.RONG J Y,GAO P,LIU T S,et al.The innovation platform for X-ray diagnosis and treatment facilitating the cultivation of undergraduate,master and doctoral students in medical physics[J].Physics and Engineering,2024,34(5):121-126,197.(in Chinese)
• [17] 陈明星，欧阳方平.科研反哺教学的固体物理学课程教学改革与实践[J].物理与工程，2023,33(3):10-13,20.CHEN M X,OUYANG F P.Teaching reform and practice of solid-state physics course with scientific research feeding back to teaching[J].Physics and Engineering,2023,33(3):10-13,20.(in Chinese)
• [18] 任冀峰，张昆亚，钱秀清，等.科研反哺教学在生物力学实验教学中的探索与实践[J].北京生物医学工程，2024,43(4):415-419.REN J F,ZHANG K Y,QIAN X Q,et al.Exploration and practice of scientific research feeding back to teaching in biomechanics experimental teaching[J].Beijing Biomedical Engineering,2024,43(4):415-419.(in Chinese)
• [19] 吴浩，于重重，孙践知，等.基于分层次PBL教学模式的在线仿真教学探索[J].计算机仿真，2023,40(12):342-347.WU H,YU C C,SUN J Z,et al.Exploration of online simulation teaching based on hierarchical PBL teaching model[J].Computer Simulation,2023,40(12):342-347.(in Chinese)
• [20] 孙天宝，AMANDA F,冯纯，等.PBL教学结合标准化病人考核在康复治疗师规范化培训中的应用[J].中华物理医学与康复杂志，2023,45(9):830-833.SUN T B,AMANDA F,FENG C,et al.Application of PBL teaching combined with standardized patient assessment in the standardized training of rehabilitation therapists[J].Chinese Journal of Physical Medicine and Rehabilitation,2023,45(9):830-833.(in Chinese)