研究目的
To provide an overview of digital medical imaging fundamentals, including 2-D and 3-D imaging techniques, and to discuss the integration of imaging informatics with patient imaging workflows.
研究成果
The chapter concludes that digital medical imaging technologies have significantly advanced diagnostic and therapeutic processes. However, challenges remain in managing large datasets, ensuring image quality during compression, and integrating diverse imaging modalities into cohesive workflows.
研究不足
The chapter highlights technical constraints such as the need for high storage capacity and bandwidth for large imaging datasets, the challenge of maintaining image quality during compression, and the limitations of current display systems in handling high-resolution images.
1：Experimental Design and Method Selection:
The chapter outlines the principles and applications of various digital medical imaging techniques, including CR, digital mammography, nuclear medicine imaging, ultrasound imaging, and MRI. It discusses the theoretical models and algorithms employed in these techniques.
2：Sample Selection and Data Sources:
The chapter references clinical and research applications of the discussed imaging modalities, with examples from patient studies and small animal imaging.
3：List of Experimental Equipment and Materials:
Equipment mentioned includes CR systems, digital mammography systems, gamma cameras for nuclear medicine, ultrasound scanners, and MRI scanners.
4：Experimental Procedures and Operational Workflow:
Detailed workflows for radiology and imaging procedures are described, including steps from patient registration to image acquisition, processing, and archiving.
5：Data Analysis Methods:
The chapter discusses image reconstruction techniques, compression methods, and the analysis of imaging data for diagnostic purposes.
独家科研数据包，助您复现前沿成果，加速创新突破
获取完整内容
