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@@ -84,89 +84,17 @@ <h3> Valve visibility is a critical factor in the image quality assessment of ec
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<h1><b>Project Goals</b> </h1>
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<ul>
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<li> <b>Develop a Reference Dataset:</b>
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<ul>
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<li> <b>Objective:</b> Create a comprehensive dataset of A4C echocardiographic images with varying levels of valve visibility, annotated by experienced echocardiographers.</li>
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<li> <b>Action:</b> Collect and meticulously annotate images to capture details of valve visibility, including the mitral, aortic, tricuspid, and pulmonary valves.</li>
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</ul>
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</li>
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<li> <b>Standardize Valve Visibility Assessment:</b>
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<ul>
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<li> <b>Objective:</b> Establish clear and objective criteria for assessing the visibility of cardiac valves in echocardiographic images.</li>
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<li> <b>Action:</b> Develop guidelines and benchmarks to evaluate valve visibility, ensuring consistency and reproducibility across different imaging sessions and machines.</li>
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</ul>
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</li>
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<li> <b>Empower AI Development:</b>
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<ul>
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<li> <b>Objective:</b> Provide a high-quality, annotated dataset to train and validate AI algorithms for automatic detection and assessment of valve visibility in echocardiographic images.</li>
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<li> <b>Action:</b> Collaborate with data scientists and AI researchers to create algorithms that can identify suboptimal valve visualization and suggest corrective actions.</li>
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</ul>
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</li>
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<li> <b>Improve Image Acquisition:</b>
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<ul>
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<li> <b>Objective:</b> Develop comprehensive training materials and guidelines to help sonographers optimize image acquisition with a focus on enhancing valve visibility.</li>
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<li> <b>Action:</b> Create instructional videos, manuals, and workshops to educate sonographers on best practices for achieving clear and consistent visualization of cardiac valves.</li>
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</ul>
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</li>
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<li> <b>Enhance Diagnostic Accuracy:</b>
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<ul>
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<li> <b>Objective:</b> Improve the accuracy and reliability of echocardiographic interpretations by ensuring optimal valve visibility in acquired images.</li>
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<li> <b>Action:</b> Implement standardized assessment criteria and AI tools in clinical practice to support echocardiographers in making more accurate diagnoses and treatment decisions regarding valve function and pathology.</li>
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</ul>
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</li>
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<li> <b>Validate and Benchmark Algorithms:</b>
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<ul>
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<li> <b>Objective:</b> Regularly validate and benchmark AI algorithms against the reference dataset to ensure continuous improvement and adaptation to new imaging technologies.</li>
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<li> <b>Action:</b> Establish a cyclical review process involving clinical experts and data scientists to update and refine algorithms based on real-world feedback and advancements.</li>
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</ul>
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</li>
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<li> <b>Promote Cross-Disciplinary Collaboration:</b>
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<ul>
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<li> <b>Objective:</b> Foster collaboration between echocardiographers, sonographers, AI developers, and healthcare providers to enhance the overall quality of echocardiographic imaging with a focus on valve visibility.</li>
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<li> <b>Action:</b> Organize symposiums, workshops, and collaborative research projects to share knowledge, tools, and best practices across disciplines.</li>
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</ul>
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</li>
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</ul>
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<h3><b>Your Role</b></h3>
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<ul>
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<li><b>Review A4C Echocardiographic Images:</b> You will be presented with a series of A4C echocardiographic images. </li>
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<li><b>Assess Valve Visibility:</b> Using the provided guidelines and your expertise, you will assess the visibility of the valves in each image.</li>
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<li><b>Rank Images:</b> You will then rank the images based on the visibility, from poorly visible to clearly visible.</li>
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<li><b>Provide Feedback (Optional):</b> Share your valuable insights and suggestions for improving the annotation process or the assessment criteria.</li>
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</ul>
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<h1><b>To annotate Mitral Valve, click <a href="https://unityimaging.net/compare/uwl-echo-zolgharni-biobank-a4c-valve-visibility-mitral" target="_blank" rel="noopener noreferrer">HERE</a></b></h1>
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<h1><b>To annotate Tricuspid Valve, click <a href="https://unityimaging.net/compare/uwl-echo-zolgharni-biobank-a4c-valve-visibility-tricuspid" target="_blank" rel="noopener noreferrer">HERE</a></b></h1>
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<h3><b>How to Participate</b></h3>
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<ol>
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<li><b>Create an Account:</b> Register on the UnityImaging.net labelling platform.</li>
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<li><b>Access the Project:</b> Find and join the "A4C Valve visibility Assessment Project." </li>
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<li><b>Review Guidelines:</b> Familiarize yourself with the detailed annotation instructions and criteria for assessing Valve visibility.</li>
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<li><b>Start Annotating:</b> Begin reviewing and ranking A4C echocardiographic images based on the level of visibility.</li>
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<li><b>Provide Feedback (Optional):</b> Share your insights to help us refine the process and improve the dataset.</li>
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</ol>
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<h3><b>Ranking Criteria</b></h3>
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<ul>
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<li><b>Left Ventricle Visualization:</b> Assess how well the entire left ventricle, from apex to base, is visible.</li>
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<li><b>Papillary Muscle Appearance:</b> Consider how distinct and well-defined the papillary muscles appear.</li>
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<li><b>Overall Image Quality:</b> Rate the overall clarity and diagnostic quality of the image, considering factors like contrast and resolution.</li>
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</ul>
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<h3><b>Who Should Participate?</b></h3>
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<ul>
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<li><b>Echocardiographers:</b> Your expertise in image interpretation is crucial for accurate assessment.</li>
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<li><b>Cardiologists:</b> Your clinical knowledge can help understand the impact of poor valve visibility on diagnosis.</li>
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<li><b>Sonographers:</b> Your experience in image acquisition can provide valuable insights into optimizing image quality.</li>
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</ul>
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