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<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><h1>π If you find this dataset useful, please consider giving it an <strong>upvote</strong>! π Thank you! π</h1> |
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<h1>π’ <strong>Common Carotid Artery Ultrasound Images</strong> π’</h1> |
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<p>π¬ Explore a meticulously collected dataset of ultrasound images focusing on the common carotid artery! This resource is ideal for researchers and developers working on projects related to medical imaging, computer vision, and cardiovascular health.</p> |
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<ul> |
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<li>π€ <strong>Contributor:</strong> Agata Momot</li> |
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<li>π
<strong>Published:</strong> November 14, 2022</li> |
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<li>π <strong>DOI:</strong> 10.17632/d4xt63mgjm.1</li> |
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</ul> |
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<h1><strong>Dataset Content:</strong></h1> |
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<p>π This dataset contains a total of <strong>2200</strong> high-quality ultrasound images. The images were taken from 11 different subjects, with each person examined at least once on the left and right sides.</p> |
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<p>β‘οΈ The dataset includes the following two main folders:</p> |
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<ul> |
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<li><strong>US images:</strong> 100 ultrasound images taken from each subject (1100 images in total).</li> |
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<li><strong>Expert mask images:</strong> Corresponding mask images created by technicians and verified by experts (1100 images in total). These masks are highly valuable for carotid artery segmentation.</li> |
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</ul> |
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<h1><strong>Image Characteristics:</strong></h1> |
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<ul> |
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<li>πΌοΈ <strong>Resolution:</strong> 709 x 749 x 3 (RGB)</li> |
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<li>πΎ <strong>Format:</strong> PNG</li> |
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</ul> |
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<h1><strong>Data Acquisition Details:</strong></h1> |
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<p>βοΈ The images were obtained using a Mindary UMT-500Plus ultrasound machine with an L13-3s linear probe. Among the 11 participants in the study group, 2 were examined using the vascular modality, and 8 using the carotid modality.</p> |
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<p>β±οΈ Time series (DICOM) images were converted to PNG format and cropped appropriately.</p> |
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<h1><strong>Potential Applications:</strong></h1> |
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<p>π§ This valuable dataset can be used for various applications, including:</p> |
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<ul> |
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<li>Carotid artery segmentation π«</li> |
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<li>Carotid artery geometry measurement and evaluation π</li> |
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<li>Development and testing of computer vision algorithms π»</li> |
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<li>Biomedical engineering research π§ͺ</li> |
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<li>Creation of medical education materials π</li> |
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</ul> |
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<h1><strong>Citation:</strong></h1> |
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<p>Momot, Agata (2022), βCommon Carotid Artery Ultrasound Imagesβ, Mendeley Data, V1, doi: 10.17632/d4xt63mgjm.1</p></div></div></div> |