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Carotid Artery Image-Derived Blood Time-Activity Curves on the NeuroEXPLORER: Initial Multitracer Validation Against Arterial Sampling. [PDF]

J Nucl Med
Volpi T, Gallezot JD, Henry S, Dias M, Khattar N, Toyonaga T, Fontaine K, Mulnix T, Zhang J, Guo L, Gravel P, Radhakrishnan R, Hillmer AT, Matuskey D, Carson RE.   +14 more
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Improved Centerline Extraction in Fully Automated Coronary Ostium Localization and Centerline Extraction Framework using Deep Learning

2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Coronary artery extraction in cardiac CT angiography (CCTA) image volume is a necessary step for any quantitative assessment of stenoses and atherosclerotic plaque. In this work, we propose a fully automated workflow that depends on convolutional networks to extract the centerlines of the coronary arteries from CCTA image volumes, starting from ...
Abdelrahman, Mostafa, Ahmed M, Ghanem, Mohamed, El-Shatoury, Tamer, Basha   +3 more
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Ordered multi-path propagation for vessel centerline extraction

Physics in Medicine & Biology, 2021
Abstract Vessel centerline extraction from x-ray angiography images is essential for vessel structure analysis in the diagnosis of coronary artery disease. However, complete and continuous centerline extraction remains a challenging task due to image noise, poor contrast, and complexity of vessel structure.
Tao, Han, Danni, Ai, Ruirui, An, Jingfan, Fan, Hong, Song, Yining, Wang, Jian, Yang   +6 more
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Corneal nerve fiber segmentation and centerline extraction

Optics in Health Care and Biomedical Optics XI, 2021
Corneal nerve fibers (CNF) usually exhibit changes associated with ocular and systemic diseases. Thus, in clinic, CNF is imaged by corneal confocal microscopy (CCM) for ocular disease diagnosis. To obtain an objective and accurate diagnosis, CNF needs to be segmented from CCM image and further its centerline is extracted to pave the wave for producing ...
Ziye Chen, Yunfeng Mo, Jiewen Chen, Jianhua Mo   +3 more
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Automatic centerline extraction for virtual colonoscopy

IEEE Transactions on Medical Imaging, 2002
In this paper, we introduce a concise and concrete definition of an accurate colon centerline and provide an efficient automatic means to extract the centerline and its associated branches (caused by a forceful touching of colon and small bowel or a deep fold in twisted colon lumen).
Ming, Wan, Zhengrong, Liang, Qi, Ke, Lichan, Hong, Ingmar, Bitter, Arie, Kaufman   +5 more
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Colon centerline extraction in fragmented segmentations

2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2015
In virtual colonoscopy, the clinical need is a smooth centered path from the rectum to the cecum, for interactive navigation along the colonic lumen. The primary challenge is breakages in the colon, due to fecal residue, abnormalities, poor insufflation and inadequate electronic cleansing. Here we propose a method, that is a modification of the classic
Karthik, Krishnan, Akshay, Madrosiya, Nasir, Desai   +2 more
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Laser Stripe Centerline Extraction with Large Width Variation

Asia Communications and Photonics Conference 2021, 2021
In this paper, an algorithm for extracting the center of the light stripe is proposed, which can adapt to various width changes. The algorithm obtains the initial center of the light stripe based on skeleton refinement, and then obtains the light stripe of nearly equal width by Bazen method.
Yu Chen, Yue Zhou
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Analysis of Centerline Extraction in Three-Dimensional Scale Space - Extracting Centerline of Vessels in Hepatic Artery

2009 Fifth International Conference on Natural Computation, 2009
Recent developments in medical imaging technology have enabled us to acquire high-resolution datasets within a few minutes. It is important for a physician to recognize three-dimensional structure of vessels prior to any vascular treatments. However, extracting this structure is not a simple image processing task. In this paper, we propose an algorithm
Motoi Kinishi, Toshiyuki Okada, Masatoshi Hori, Yen-Wei Chen, Yoshinobu Sato   +4 more
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Robust Centerline Extraction Framework Using Level Sets

2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005
In this paper, we present a novel framework for computing centerlines for both 2D and 3D shape analysis. The framework works as follows: an object centerline point is selected automatically as the point of global maximum Euclidean distance from the boundary, and is considered a point source (Ps) that transmits a wave front that evolves over time and ...
M.S. Hassouna, A.A. Farag
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