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Editorial note
Computerized Medical Imaging and Graphics 38 (2014) 69
Contents lists available at ScienceDirect
Computerized Medical Imaging and Graphics journal homepage: www.elsevier.com/locate/compmedimag
Editorial note
Technological advances in (intra)vascular imaging offer increasingly useful information regarding vascular anatomy and function and are poised to have dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. Computer vision techniques designed to analyze intravascular images for anatomic modeling, simulation, visualization, tissue classification and the assessment of interventional procedures are therefore playing an important role and are currently receiving significant interest. This special section of Computerized Medical Imaging and Graphics presents a selection of extended original work presented at the 3rd MICCAI Workshop on Computing and Visualization for (Intra)Vascular Imaging (CVII) 2011 in Toronto, Canada, as well as related research in the field, in order to disseminate original and clinically relevant research work produced by the CVII community. For this special section, extended papers were invited from the top scoring CVII 2011 workshop submissions; additionally, a call for papers was publicly sent out asking for original research related to (intra)vascular imaging. All submissions were subjected to the standard CMIG review process of two or three reviews. Of the 11 papers originally received, the 5 papers appearing here successfully made it through the rigorous review process. The imaging modalities covered in this selection of papers include intravascular ultrasound (IVUS), optical coherence tomography (OCT) and vascular elastography, showcasing the range of approaches to intravascular assessment. The first paper is devoted to the challenge on the “Lumen and External Elastic Laminae (Vessel Inner and Outer Wall) Border Detection” that was part of the CVII 2011 Workshop. Balocco et al. present a detailed overview of participating algorithms and nicely compare their results within a novel evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been made publicly available for validation of new algorithms and extension by new image datasets, and is aiming to serve as a basic reference for future development of algorithms on vessel segmentation of IVUS images Destrempes et al. present a feasibility study for the use of a fast marching method for 2D segmentation of IVUS images of the coronary arteries. Results showed that the proposed method is robust to a number of ultrasound artifacts, including partial shadowing
0895-6111/$ – see front matter © 2013 Published by Elsevier Ltd. http://dx.doi.org/10.1016/j.compmedimag.2013.11.002
caused by calcium deposits, the presence of a stent, and injection of contrast agent. Sheet et al. address the difficulties of finding necrosis in IVUS images, where it appears as shadows or signal drop out regions. An initial estimation of the fidelity of the backscattered ultrasound signal received by the transducer is first made, followed by the identification of necrosis using statistical physics of the ultrasound backscattering learned using a random forest approach. Wang et al. present a method to construct stent surfaces from IntraVascular Optical Coherence Tomography (IVOCT) images in order to assess the stent support and side branch access in coronary arteries. The areas of maximum circular unsupported surface of stent cells and stent-covered side branches are computed over phantom and clinical IVOCT data. Those measurements indicate potential use of the provided quantitative evaluation for improvements in stent implantation and stent design evaluation toward better understanding of stent structures in coronary arteries in the future. Mercure et al. study axial strain maps to examine mechanical properties of plaque rupture in carotid arteries using noninvasive vascular elastography. An angle compensation method to produce a compensated axial strain was developed to increase the robustness of strain map measurements to varying acquisition conditions in the clinic. Calculated axial strain curves were utilized to propose promising plaque vulnerability indicators, which are desirable in atherosclerotic plaque assessment, opening opportunities for further investigation in diagnosis of vulnerable plaques. We trust that this special section will provide a comprehensive snapshot of the current research activities and state-of-the-art in (intra)vascular imaging and we look forward to seeing further high quality submissions to the upcoming CVII workshops. Su-Lin Lee Stefanie Demirci Petia Radeva Gozde Unal E-mail address: [email protected] (S.-L. Lee) 28 November 2013 28 November 2013
Contents lists available at ScienceDirect
Computerized Medical Imaging and Graphics journal homepage: www.elsevier.com/locate/compmedimag
Editorial note
Technological advances in (intra)vascular imaging offer increasingly useful information regarding vascular anatomy and function and are poised to have dramatic impact on the diagnosis, analysis, modeling, and treatment of vascular diseases. Computer vision techniques designed to analyze intravascular images for anatomic modeling, simulation, visualization, tissue classification and the assessment of interventional procedures are therefore playing an important role and are currently receiving significant interest. This special section of Computerized Medical Imaging and Graphics presents a selection of extended original work presented at the 3rd MICCAI Workshop on Computing and Visualization for (Intra)Vascular Imaging (CVII) 2011 in Toronto, Canada, as well as related research in the field, in order to disseminate original and clinically relevant research work produced by the CVII community. For this special section, extended papers were invited from the top scoring CVII 2011 workshop submissions; additionally, a call for papers was publicly sent out asking for original research related to (intra)vascular imaging. All submissions were subjected to the standard CMIG review process of two or three reviews. Of the 11 papers originally received, the 5 papers appearing here successfully made it through the rigorous review process. The imaging modalities covered in this selection of papers include intravascular ultrasound (IVUS), optical coherence tomography (OCT) and vascular elastography, showcasing the range of approaches to intravascular assessment. The first paper is devoted to the challenge on the “Lumen and External Elastic Laminae (Vessel Inner and Outer Wall) Border Detection” that was part of the CVII 2011 Workshop. Balocco et al. present a detailed overview of participating algorithms and nicely compare their results within a novel evaluation framework that allows a standardized and quantitative comparison of IVUS lumen and media segmentation algorithms. This framework has been made publicly available for validation of new algorithms and extension by new image datasets, and is aiming to serve as a basic reference for future development of algorithms on vessel segmentation of IVUS images Destrempes et al. present a feasibility study for the use of a fast marching method for 2D segmentation of IVUS images of the coronary arteries. Results showed that the proposed method is robust to a number of ultrasound artifacts, including partial shadowing
0895-6111/$ – see front matter © 2013 Published by Elsevier Ltd. http://dx.doi.org/10.1016/j.compmedimag.2013.11.002
caused by calcium deposits, the presence of a stent, and injection of contrast agent. Sheet et al. address the difficulties of finding necrosis in IVUS images, where it appears as shadows or signal drop out regions. An initial estimation of the fidelity of the backscattered ultrasound signal received by the transducer is first made, followed by the identification of necrosis using statistical physics of the ultrasound backscattering learned using a random forest approach. Wang et al. present a method to construct stent surfaces from IntraVascular Optical Coherence Tomography (IVOCT) images in order to assess the stent support and side branch access in coronary arteries. The areas of maximum circular unsupported surface of stent cells and stent-covered side branches are computed over phantom and clinical IVOCT data. Those measurements indicate potential use of the provided quantitative evaluation for improvements in stent implantation and stent design evaluation toward better understanding of stent structures in coronary arteries in the future. Mercure et al. study axial strain maps to examine mechanical properties of plaque rupture in carotid arteries using noninvasive vascular elastography. An angle compensation method to produce a compensated axial strain was developed to increase the robustness of strain map measurements to varying acquisition conditions in the clinic. Calculated axial strain curves were utilized to propose promising plaque vulnerability indicators, which are desirable in atherosclerotic plaque assessment, opening opportunities for further investigation in diagnosis of vulnerable plaques. We trust that this special section will provide a comprehensive snapshot of the current research activities and state-of-the-art in (intra)vascular imaging and we look forward to seeing further high quality submissions to the upcoming CVII workshops. Su-Lin Lee Stefanie Demirci Petia Radeva Gozde Unal E-mail address: [email protected] (S.-L. Lee) 28 November 2013 28 November 2013