Image Quality Assessment Framework - PLAX Full-Out - AV MV

Project Description


Capturing comprehensive views of the aortic valve (AV) and mitral valve (MV) in PLAX images is essential for thorough cardiac assessment. This project aims to create a standardized, open-access dataset of PLAX images focusing on full-out views of the AV and MV, annotated by experts.



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Project Goals

  • Develop a Reference Dataset: Compile a comprehensive dataset of PLAX images highlighting full-out views of the AV and MV, annotated by experienced echocardiographers.
  • Standardize Full-Out View Assessment: Establish objective criteria for evaluating the quality of full-out views of the AV and MV in PLAX images.
  • Empower AI Development: Provide a high-quality dataset to train and validate AI algorithms for detecting and enhancing full-out views.
  • Improve Image Acquisition: Develop training materials and guidelines to help sonographers optimize image acquisition for clear full-out views.
  • Enhance Diagnostic Accuracy: Improve the reliability of PLAX echocardiographic interpretations for better patient care.

Your Role

  • Review PLAX Echocardiographic Images: You will be presented with a series of PLAX echocardiographic images.
  • Assess Full-Out Views: Use the provided guidelines and your expertise to assess the quality of full-out views of the AV and MV in each image.
  • Rank Images: Rank the images based on the clarity and completeness of the full-out views.
  • Provide Feedback (Optional): Share your insights and suggestions for improving the annotation process or the assessment criteria.

How to Participate

  1. Create an Account: Register on the UnityImaging.net labelling platform.
  2. Access the Project: Join the "PLAX Full-Out AV MV Assessment Project."
  3. Review Guidelines: Familiarize yourself with the detailed annotation instructions and criteria for assessing full-out views.
  4. Start Annotating: Begin reviewing and ranking PLAX images based on the quality of full-out views.
  5. Provide Feedback (Optional): Share your insights to help refine the process and improve the dataset.

Ranking Criteria

  • Valve Visualization: Assess how well the aortic and mitral valves are visualized in their entirety.
  • Overall Image Quality: Rate the overall clarity and diagnostic quality of the image, considering factors like contrast and resolution.

Who Should Participate?

  • Echocardiographers: Your expertise in image interpretation is crucial for accurate assessment.
  • Cardiologists: Your clinical knowledge can help understand the impact of full-out views on diagnosis.
  • Sonographers: Your experience in image acquisition can provide valuable insights into optimizing image quality.