Training activity information
Details
Develop, validate and document software to analyse images
Type
Developmental training activity (DTA)
Evidence requirements
Evidence the activity has been undertaken by the trainee​.
Reflection on the activity at one or more time points after the event including learning from the activity and/or areas of the trainees practice for development.
An action plan to implement learning and/or to address skills or knowledge gaps identified.
Considerations
- Image analysis and processing
- Good coding practice
- Version control
- Software quality management
- Information governance
Reflective practice guidance
The guidance below is provided to support reflection at different time points, providing you with questions to aid you to reflect for this training activity. They are provided for guidance and should not be considered as a mandatory checklist. Trainees should not be expected to provide answers to each of the guidance questions listed.
Before action
- Consider specific insights you hope to gain regarding the computational tools used for extracting information from medical images.
- Think about your current programming skills and your understanding of image analysis algorithms.
- Anticipate learning about the practical challenges of developing robust and reliable image analysis software.
- Consider the importance of software validation and documentation for clinical applications.
- Discuss the specific image analysis task to be implemented with your training officer.
- Review relevant image analysis algorithms and techniques.
- Choose a suitable programming language and development environment.
- Plan the architecture and functionality of your software, including input/output, processing steps, and user interface (if applicable).
- Reflect on your current software development skills and your understanding of medical image analysis.
In action
- Pay attention to your actions. How are you approaching the development, validation, and documentation of the image analysis software? Why are you doing it this way?
- What decisions are you making as you design the software logic and implement the analysis functions?
- What aspects of software development and image analysis principles feel intuitive, and what requires more conscious effort?
- How effective are your actions in creating software that correctly performs the intended image analysis tasks?
- What challenges are you facing in understanding the analysis requirements, implementing the algorithms, or validating the software?
- What can you learn about software development for medical image analysis as it unfolds?
- How does this activity connect to your understanding of image processing and interpretation?
- Are there alternative programming approaches or image analysis libraries you could be considering?
- What support or guidance might you need in this moment to overcome programming challenges or ensure the accuracy of the analysis?
- Are you systematically testing the software with various images and documenting its functionality and validation results?
On action
- What specific image analysis tasks did your software perform?
- What algorithms or techniques did you implement?
- What challenges did you encounter in the development, validation, and documentation processes?
- What did you learn about the principles of medical image analysis and algorithm development?
- How did this activity enhance your understanding of software development best practices, including validation and documentation?
- What considerations are important when developing software for medical image analysis?
- How will this experience inform your understanding of the role of software in medical imaging research and clinical practice?
- What further learning could you undertake in the area of medical image analysis algorithms and software engineering?
- What support or resources might you need to further develop your skills in this area?
Beyond action
- Reflect on the process of developing, validating, and documenting your image analysis software. What were the key design considerations and challenges you faced?
- Have you had opportunities to use your software or see similar image analysis tools being used in a clinical or research setting? How did your software’s capabilities compare?
- Consider if your understanding of image processing algorithms and software development best practices has evolved, and how this might influence your approach to future software development.
- Has this activity enhanced your understanding of the steps involved in quantitative image analysis?
- Have the software development and validation skills you gained been transferable to other tasks involving data processing or analysis?
- How will skills in developing and validating image analysis software be valuable in future roles involving research, quality assurance, or the development of clinical decision support systems?
- What further development of your image analysis software or exploration of more advanced analysis techniques would you be interested in pursuing?
Relevant learning outcomes
| # | Outcome |
|---|---|
| # 7 |
Outcome
Manipulate and analyse medical images and metadata. |