Merge pull request #58 from intsav/arian-farokh-patch-3-1

Arian farokh patch 3 1

Author: arian-farokh

Valve_visibility.html

@@ -85,9 +85,9 @@ <h3> Valve visibility is a critical factor in the image quality assessment of ec
 
 
 
-<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>
-<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>
-
+<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>
+<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>
+<br>
 
 <h3><b>Ranking Criteria</b></h3>
 <ul>

foreshortening.html

@@ -82,53 +82,16 @@ <h3> Foreshortening is a common challenge in acquiring high-quality apical four-
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-              <h1><b>Project Goals</b> </h1>
-<ul>
-    <li> <b>Develop a Reference Dataset:</b> Create a comprehensive dataset of A4C echocardiographic images with diverse foreshortening levels, carefully annotated by experienced echocardiographers.</li>
-    <li> <b>Standardize Foreshortening Assessment:</b> Establish clear and objective criteria for assessing the degree of foreshortening in A4C images.</li>
-    <li> <b>Empower AI Development:</b> Provide a high-quality dataset to train and validate AI algorithms for automatic foreshortening detection and correction.</li>
-    <li> <b>Improve Image Acquisition:</b> Develop training materials and guidelines to help sonographers optimize image acquisition and minimize foreshortening.</li>
-    <li> <b>Enhance Diagnostic Accuracy:</b> Ultimately improve the accuracy and reliability of A4C echocardiographic interpretations for better patient care.</li>
-</ul>
-      
-      
-      
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-          
-          
-          
-          <h3><b>Your Role</b></h3>
-<ul>
-  <li><b>Review A4C Echocardiographic Videos:</b> You will be presented with a series of A4C echocardiographic videos.</li>
-  <li><b>Assess Foreshortening:</b> Using the provided guidelines and your expertise, you will assess the degree of foreshortening in each video.</li>
-  <li><b>Rank Images:</b> You will then rank the videos based on the severity of foreshortening, from least to most foreshortened.</li>
-  <li><b>Provide Feedback (Optional):</b> Share your valuable insights and suggestions for improving the annotation process or the assessment criteria.</li>
-</ul>
-
-          
-    <h3><b>How to Participate</b></h3>
-<ol>
-  <li><b>Create an Account:</b> Register on the UnityImaging.net labelling platform.</li>
-  <li><b>Access the Project:</b> Find and join the "A4C Foreshortening Assessment Project." </li>
-  <li><b>Review Guidelines:</b> Familiarize yourself with the detailed annotation instructions and criteria for assessing foreshortening.</li>
-  <li><b>Start Annotating:</b> Begin reviewing and ranking A4C echocardiographic videos based on the degree of foreshortening.</li>
-  <li><b>Provide Feedback (Optional):</b> Share your insights to help us refine the process and improve the dataset.</li>
-</ol>
-
+<h1><b>To annotate for Foreshortening, click <a href="https://unityimaging.net/compare/biobank-a4c-quality-foreshortening" target="_blank" rel="noopener noreferrer">HERE</a>.</b></h1>
+<br>     
+              
 <h3><b>Ranking Criteria</b></h3>
 <ul>
   <li><b>Left Ventricle Visualization:</b> Assess how well the entire left ventricle, from apex to base, is visible.</li>
   <li><b>Papillary Muscle Appearance:</b> Consider how distinct and well-defined the papillary muscles appear.</li>
   <li><b>Overall Image Quality:</b> Rate the overall clarity and diagnostic quality of the image, considering factors like contrast and resolution.</li>
 </ul>
 
-<h3><b>Who Should Participate?</b></h3>
-<ul>
-  <li><b>Echocardiographers:</b> Your expertise in image interpretation is crucial for accurate assessment.</li>
-  <li><b>Cardiologists:</b> Your clinical knowledge can help understand the impact of foreshortening on diagnosis.</li>
-  <li><b>Sonographers:</b> Your experience in image acquisition can provide valuable insights into optimizing image quality.</li>
-</ul>
 
 
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