← 返回首页

医学影像

Medical Imaging

课程介绍 Course Introduction

学分:3 | 先修课:信号与系统、概率论 | 学期:第六学期

本课程系统讲授主流医学成像模态的物理原理与图像重建算法,涵盖X射线、CT、超声、MRI、PET与SPECT。学生学习投影重建、傅里叶变换、滤波反投影、迭代重建等核心算法,掌握图像质量评价、伪影识别与剂量优化方法。课程结合临床应用案例,培养学生医学图像处理与分析能力,为影像设备研发与放射科工作打下基础。

This course systematically covers physical principles and reconstruction algorithms of major medical imaging modalities, including X-ray, CT, ultrasound, MRI, PET, and SPECT. Students learn projection reconstruction, Fourier transforms, filtered back-projection, and iterative methods, with image quality evaluation, artifact identification, and dose optimization. Clinical cases build skills in medical image processing and imaging device R&D.

大作业 Final Project

作业标题:CT图像滤波反投影重建算法实现与质量评价 / CT Image Filtered Back-Projection Reconstruction and Quality Evaluation

实现CT图像滤波反投影重建算法,使用仿真投影数据重建断层图像并评价图像质量。分析滤波函数与剂量对重建质量的影响。

Implement the CT filtered back-projection reconstruction algorithm, reconstruct tomographic images using simulated projection data and evaluate image quality. Analyze the effects of filter functions and dose on reconstruction quality.

实施步骤 Implementation Steps

📋 示例:实现一个CT图像重建算法,比如对仿真投影数据做滤波反投影重建。你需要用Python或MATLAB编写FBP算法,选择不同的滤波函数(Ram-Lak、Shepp-Logan),然后计算重建图像的信噪比和空间分辨率,分析投影角度数对伪影的影响。
步骤 1
算法原理分析
本步骤对生物医学工程问题进行深入分析,明确临床需求和技术指标。生物医学工程的核心是将工程技术与医学需求相结合,需要从临床应用场景出发,分析生理机制、技术可行性和安全要求。通过文献调研和临床需求调研确定设计输入。

• 检索PubMed、IEEE Xplore等数据库,调研国内外研究现状和技术发展趋势
• 分析临床应用场景和用户需求,明确适应症、使用人群和关键性能指标
• 识别技术难点和风险点,制定技术路线和关键性能参数指标
产出:需求分析报告(含文献综述、临床需求、技术指标、风险分析、技术路线) | 质量标准:调研充分、需求明确、指标合理、技术路线可行
步骤 2
仿真数据生成
本步骤是生物医学工程项目的重要环节,将工程技术与医学需求紧密结合解决临床问题。生物医学工程需严格遵循医疗器械相关法规和标准,确保安全性和有效性。采用专业的生物学、医学和工程学交叉方法开展工作。

• 依据医疗器械相关法规(如NMPA、FDA、CE)和标准(ISO、GB、YY)开展工作
• 使用专业工具(MATLAB/COMSOL/SolidWorks/SPSS等)进行设计、计算和数据分析
• 进行生物相容性和安全性评估,确保符合临床应用要求
产出:专业报告(含方法描述、实验数据、分析结果、风险评估、结论建议) | 质量标准:方法合规、数据准确、安全有效、符合医学伦理
步骤 3
重建算法实现
本步骤是生物医学工程项目的重要环节,将工程技术与医学需求紧密结合解决临床问题。生物医学工程需严格遵循医疗器械相关法规和标准,确保安全性和有效性。采用专业的生物学、医学和工程学交叉方法开展工作。

• 依据医疗器械相关法规(如NMPA、FDA、CE)和标准(ISO、GB、YY)开展工作
• 使用专业工具(MATLAB/COMSOL/SolidWorks/SPSS等)进行设计、计算和数据分析
• 进行生物相容性和安全性评估,确保符合临床应用要求
产出:专业报告(含方法描述、实验数据、分析结果、风险评估、结论建议) | 质量标准:方法合规、数据准确、安全有效、符合医学伦理
步骤 4
图像质量评价
本步骤对生物医学产品进行综合性能评价和风险评估,为临床应用或注册申报提供依据。生物医学评价需兼顾有效性、安全性和经济性,按照医疗器械风险管理标准进行全生命周期风险管控。通过临床前评价和临床评价形成完整的证据链。

• 依据ISO 14971进行风险管理,识别危害、估计风险、评价风险并控制风险
• 进行临床前性能评价,包括台架试验、体外试验和动物实验的结果汇总分析
• 对比同类产品性能参数,分析技术优势和临床价值,形成综合评价结论
产出:评价报告(含风险分析、性能评估、临床价值分析、综合评价、改进建议) | 质量标准:评价方法科学、风险可控、性能达标、临床价值明确
步骤 5
参数分析与报告
本步骤对生物医学工程问题进行深入分析,明确临床需求和技术指标。生物医学工程的核心是将工程技术与医学需求相结合,需要从临床应用场景出发,分析生理机制、技术可行性和安全要求。通过文献调研和临床需求调研确定设计输入。

• 检索PubMed、IEEE Xplore等数据库,调研国内外研究现状和技术发展趋势
• 分析临床应用场景和用户需求,明确适应症、使用人群和关键性能指标
• 识别技术难点和风险点,制定技术路线和关键性能参数指标
产出:需求分析报告(含文献综述、临床需求、技术指标、风险分析、技术路线) | 质量标准:调研充分、需求明确、指标合理、技术路线可行

Steps

Step 1
Algorithm Principle Analysis
This step conducts in-depth analysis of biomedical engineering problems, clarifying clinical requirements and technical specifications. The core of biomedical engineering is combining engineering technology with medical needs, requiring analysis of physiological mechanisms, technical feasibility and safety requirements starting from clinical application scenarios. Determine design inputs through literature review and clinical needs investigation.

• Search databases such as PubMed and IEEE Xplore, investigate domestic and international research status and technology development trends
• Analyze clinical application scenarios and user needs, clarify indications, target population and key performance indicators
• Identify technical difficulties and risk points, develop technical route and key performance parameter specifications
Deliverable: Requirements analysis report (including literature review, clinical needs, technical specifications, risk analysis, technical route) | Quality standard: Thorough investigation, clear requirements, reasonable specifications, feasible technical route
Step 2
Simulated Data Generation
This step is an important element in biomedical engineering projects, closely integrating engineering technology with medical needs to solve clinical problems. Biomedical engineering must strictly follow relevant medical device regulations and standards, ensuring safety and effectiveness. Work is carried out using interdisciplinary methods of biology, medicine and engineering.

• Work according to relevant medical device regulations (NMPA, FDA, CE) and standards (ISO, GB, YY)
• Use professional tools (MATLAB/COMSOL/SolidWorks/SPSS, etc.) for design, calculation and data analysis
• Perform biocompatibility and safety evaluation, ensuring compliance with clinical application requirements
Deliverable: Professional report (including method description, experimental data, analysis results, risk assessment, conclusions and suggestions) | Quality standard: Compliant methods, accurate data, safe and effective, compliant with medical ethics
Step 3
Reconstruction Algorithm Implementation
This step is an important element in biomedical engineering projects, closely integrating engineering technology with medical needs to solve clinical problems. Biomedical engineering must strictly follow relevant medical device regulations and standards, ensuring safety and effectiveness. Work is carried out using interdisciplinary methods of biology, medicine and engineering.

• Work according to relevant medical device regulations (NMPA, FDA, CE) and standards (ISO, GB, YY)
• Use professional tools (MATLAB/COMSOL/SolidWorks/SPSS, etc.) for design, calculation and data analysis
• Perform biocompatibility and safety evaluation, ensuring compliance with clinical application requirements
Deliverable: Professional report (including method description, experimental data, analysis results, risk assessment, conclusions and suggestions) | Quality standard: Compliant methods, accurate data, safe and effective, compliant with medical ethics
Step 4
Image Quality Evaluation
This step performs comprehensive performance evaluation and risk assessment of biomedical products, providing basis for clinical application or registration submission. Biomedical evaluation must balance effectiveness, safety and economy, conducting full life cycle risk management according to medical device risk management standards. Form complete evidence chain through pre-clinical evaluation and clinical evaluation.

• Conduct risk management according to ISO 14971, identify hazards, estimate risks, evaluate risks and control risks
• Perform pre-clinical performance evaluation, including summary analysis of bench tests, in vitro tests and animal experiment results
• Compare with similar product performance parameters, analyze technical advantages and clinical value, form comprehensive evaluation conclusion
Deliverable: Evaluation report (including risk analysis, performance assessment, clinical value analysis, comprehensive evaluation, improvement suggestions) | Quality standard: Scientific evaluation method, controllable risks, qualified performance, clear clinical value
Step 5
Parameter Analysis and Report
This step conducts in-depth analysis of biomedical engineering problems, clarifying clinical requirements and technical specifications. The core of biomedical engineering is combining engineering technology with medical needs, requiring analysis of physiological mechanisms, technical feasibility and safety requirements starting from clinical application scenarios. Determine design inputs through literature review and clinical needs investigation.

• Search databases such as PubMed and IEEE Xplore, investigate domestic and international research status and technology development trends
• Analyze clinical application scenarios and user needs, clarify indications, target population and key performance indicators
• Identify technical difficulties and risk points, develop technical route and key performance parameter specifications
Deliverable: Requirements analysis report (including literature review, clinical needs, technical specifications, risk analysis, technical route) | Quality standard: Thorough investigation, clear requirements, reasonable specifications, feasible technical route
← 返回生物医学工程 下一门:生理学 → 🎲 Random Course
Prerequisites · International Exams · Contact · Back to top · Home