1. Articles from Hong Lu

    1-3 of 3
    1. 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 thickness, tissue coverage area, and malapposition area were automatically quantified. The software was used to analyze 292 stent pullbacks. The concordance-correlation-coefficients of automatically measured stent and lumen areas and independent ...

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    2. 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

      Cardiovascular disease is the leading cause of death worldwide. Stent implantation by means of percutaneous coronary intervention is the most common coronary revascularization procedure. Intravascular Optical Coherence Tomography (iOCT) is the only imaging modality with the resolution and contrast necessary to enable accurate measurements of luminal architecture and neointima stent coverage. Manual analysis of intravascular OCT pullbacks is time consuming, limiting the size and number of studies that can be performed. We developed a highly automated method for detecting stent struts and measuring tissue coverage. Candidate struts were first identified using image processing techniques. We trained a bagged decision trees ...

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    3. 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 analysis, precision improved to 94%. Strut detection statistics approached variability of manual analysis. Differences between manual and automatic area measurements were 0.12 ± 0.20 mm 2 and 0.11 ...

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    1-3 of 3
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  2. Topics in the News

    1. (3 articles) Case Western Reserve University
    2. (3 articles) David L. Wilson
    3. (3 articles) Hong Lu
    4. (3 articles) Zhao Wang
    5. (3 articles) Hiram G. Bezerra
    6. (2 articles) Marco A. Costa
    7. (2 articles) Guilherme F. Attizzani
    8. (2 articles) Andrew M. Rollins
    9. (2 articles) Madhusudhana Gargesha
    10. (2 articles) Nanjing University of Science and Technology
    11. (1 articles) Massachusetts Institute of Technology
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    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 Application and Evaluation of Highly Automated Software for Comprehensive Stent Analysis in Intravascular Optical Coherence Tomography CT texture analysis of vulnerable plaques on optical coherence tomography Peri-stent contrast staining after ultrathin, biodegradable polymer sirolimus-eluting stent implantation: findings from optical coherence tomography and coronary angioscopy An optimized segmentation and quantification approach in microvascular imaging for OCTA-based neovascular regression monitoring Postdoctoral Research Fellowship at Nanyang Technological University, Singapore The Macular Choriocapillaris Flow in Glaucoma and Within-Day Fluctuations: An Optical Coherence Tomography Angiography Study Impact of Optical Coherence Tomography Imaging on Decision-Making During Percutaneous Coronary Intervention in Patients Presented With Acute Coronary Syndromes Time course of collateral vessel formation after retinal vein occlusion visualized by OCTA and elucidation of factors in their formation Peripapillary Retinal Nerve Fiber Layer and Ganglion Cell-Inner Plexiform Layer Changes on Optical Coherence Tomography in Patients with Unilateral Hypertensive Cytomegalovirus Anterior Uveitis Utility of spectral domain OCT in differentiating optic disc drusen from papilledema in children