1. Hong Lu

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    1. Mentioned In 5 Articles

    2. Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography

      Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography
      Intravascular optical coherence tomography (IVOCT) is used to assess stent tissue coverage and malapposition in stent evaluation trials. We developed the OCT Image Visualization and Analysis Toolkit for Stent (OCTivat-Stent), for highly automated analysis of IVOCT pullbacks. Algorithms automatically detected the guidewire, lumen boundary, and stent struts; determined the presence of tissue coverage for each strut; and estimated the stent contour for comparison of stent and lumen area. Strut-level tissue ...
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    3. Automated analysis of intravascular OCT image volumes

      Automated analysis of intravascular OCT image volumes
      This disclosure provides systems and methods to automatically classify stent struts as covered or uncovered and to measure the thickness of tissue coverage. As one example, the method includes storing three-dimensional image data acquired intravascularly via an optical coherence tomography (OCT) apparatus and detecting struts based on analysis of the image data. Image data corresponding to each of the detected struts is further analyzed automatically to compute an indication of ...
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    4. Machine Learning Based Analysis of Coronary Stent Images in Intravascular Optical Coherence Tomography Pullbacks (Thesis)

      Machine Learning Based Analysis of Coronary Stent Images in Intravascular Optical Coherence Tomography Pullbacks (Thesis)
      Coronary artery disease (CAD) is the most common heart disease and the leading cause of death worldwide. Stent implantation via percutaneous coronary intervention is a popular procedure for treating CAD. Drug eluting stents (DESs) were shown to reduce restenosis compared to bare metal stents. However, DESs were related to a higher risk of late stent thrombosis, a catastrophic clinical event caused by delayed arterial healing. Therefore, its important to evaluate ...
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    5. Feature Of The Week 1/20/13: CWRU Demonstrates Automatic Stent Detection in Intravascular OCT Images Using Bagged Decision Trees

      Feature Of The Week 1/20/13: CWRU Demonstrates Automatic Stent Detection in Intravascular OCT Images Using Bagged Decision Trees
      ...uld significantly reduce from the 6-16 hours now required. For more information see recent Article . Courtesy Hong Lu from Case Western Reserve University . Cardiovascular disease is the leading cause of death worldwide....
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    6. Automatic stent detection in intravascular OCT images using bagged decision trees

      Automatic stent detection in intravascular OCT images using bagged decision trees
      Intravascular optical coherence tomography (iOCT) is being used to assess viability of new coronary artery stent designs. We developed a highly automated method for detecting stent struts and measuring tissue coverage. We trained a bagged decision trees classifier to classify candidate struts using features extracted from the images. With 12 best features identified by forward selection, recall (precision) were 90%94% (85%90%). Including struts deemed insufficiently bright for manual ...
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  2. About Hong Lu

    Hong Lu

    Hong Lu is a graduate student in biomedical engineering at Case Western Reserve University.