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Extraction of 3D Vascular Tree Skeletons Based on the Analysis of Connected Components Evolution [chapter]

Juan F. Carrillo, Maciej Orkisz, Marcela Hernández Hoyos
2005 Lecture Notes in Computer Science  
The article is dealing with the automated extraction of branching structures in 3D medical images.  ...  We describe a simple algorithm for fast extraction of the 3D structure of the vascular tree, which has been implemented within this framework.  ...  Many algorithms have been proposed to extract the vascular axes from 3D images (e.g. see overviews [1] [2] [3] [4] ).  ... 
doi:10.1007/11556121_74 fatcat:wh2xgnh4zbfgxjwrvhjiel22bi

Angiographic Image Analysis [chapter]

Olena Tankyevych, Hugues Talbot, Nicolas Passat, Mariano Musacchio, Michel Lagneau
2011 Medical Image Processing  
Initially designed to generate 2D data, these imaging modalities progressively led to the acquisition of 3D images, enabling to visualise vascular volumes.  ...  The important rise of medical imaging during the 20th century, mainly induced by physics breakthroughs related to nuclear magnetic resonance and Xrays has led to the development of imaging modalities devoted  ...  Despite a few attempts to deal with the case of bifurcations, which can enable the recursive processing of a whole vascular tree [9, 13, 31] , vessel tracking is especially wellfit for the segmentation  ... 
doi:10.1007/978-1-4419-9779-1_6 fatcat:vjo4whm3knhglk2lcg2c6fwucq

Using a wireless motion controller for 3D medical image catheter interactions

Dime Vitanovski, Dieter Hahn, Volker Daum, Joachim Hornegger, Michael I. Miga, Kenneth H. Wong
2009 Medical Imaging 2009: Visualization, Image-Guided Procedures, and Modeling  
State-of-the-art morphological imaging techniques usually provide high resolution 3D images with a huge number of slices.  ...  Providing intuitive interaction methods for specific 3D medical visualization applications is therefore a critical feature for clinical imaging applications.  ...  Since in the most of the simulators for IR, the human motion is tracked by series of electromechanical sensors, the emphasis in this work was how to estimate the pose of the device in 3D space based on  ... 
doi:10.1117/12.812426 dblp:conf/miigp/VitanovskiHDH09 fatcat:reaasb5cnjcidnjrziozyiutb4

VascuSynth: Simulating vascular trees for generating volumetric image data with ground-truth segmentation and tree analysis

Ghassan Hamarneh, Preet Jassi
2010 Computerized Medical Imaging and Graphics  
In this work, we simulate volumetric images of vascular trees and generate the corresponding ground truth segmentations, bifurcation locations, branch properties, and tree hierarchy.  ...  Automated segmentation and analysis of tree-like structures from 3D medical images are important for many medical applications, such as those dealing with blood vasculature or lung airways.  ...  Acknowledgment We thank James Styles for code development and Lisa Tang for assistance in developing the deformable  ... 
doi:10.1016/j.compmedimag.2010.06.002 pmid:20656456 fatcat:35qjpesyyneabhxj6rytfqxkou

A review of vessel extraction techniques and algorithms

Cemil Kirbas, Francis Quek
2004 ACM Computing Surveys  
We put the various vessel extraction approaches and techniques in perspective by means of a classification of the existing research.  ...  While we have mainly targeted the extraction of blood vessels, neurosvascular structure in particular, we have also reviewed some of the segmentation methods for the tubular objects that show similar characteristics  ...  This procedure is performed recursively to extract the vascular tree. This algorithm requires user-supplied vessel starting points, and does not appear extensible to 3D extraction.  ... 
doi:10.1145/1031120.1031121 fatcat:7zms3avnjrfd7plwcitqx3cdiq

A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes

David Lesage, Elsa D. Angelini, Isabelle Bloch, Gareth Funka-Lea
2009 Medical Image Analysis  
In this paper, we review state-of-the-art literature on vascular segmentation, with a particular focus on 3D contrast-enhanced imaging modalities (MRA and CTA).  ...  Vascular diseases are among the most important public health problems in developed countries.  ...  Discussion The medical interest in 3D vascular segmentation and the challenges it raises have motivated a tremendous amount of research Fig. 29 .  ... 
doi:10.1016/j.media.2009.07.011 pmid:19818675 fatcat:rroixlliubb6nfmvlhahdqtniq

Vessel extraction in medical images by wave-propagation and traceback

F.K.H. Quek, C. Kirbas
2001 IEEE Transactions on Medical Imaging  
Representing the reciprocal of this likelihood image as an array of refractive indices, we propagate a digital wave through the image from the base of the vascular tree.  ...  We discuss both the theory and the implementation of the approach. Using a dual-sigmoidal filter, we label each pixel in an angiogram with the likelihood that it is within a vessel.  ...  Some earlier experimental version of the code was written by Xiayun Gong while she was associated with the VISLab at the University of Illinois at Chicago.  ... 
doi:10.1109/42.913178 pmid:11321591 fatcat:3uoxnr3ld5hxlpc7kjrd6cjp3m

Magnetic resonance angiography: From anatomical knowledge modeling to vessel segmentation

N. Passat, C. Ronse, J. Baruthio, J.-P. Armspach, C. Maillot
2006 Medical Image Analysis  
Medical Image Analysis, Elsevier, 2006, 10 (2), pp. Abstract Magnetic resonance angiography (MRA) has become a common way to study cerebral vascular structures.  ...  MRA exams are generally performed for three main applications: detection of vascular pathologies, neurosurgery planning, and vascular landmark detection for brain functional analysis.  ...  Acknowledgments The authors thank the PPF IRMC 7 (Plan Pluri-Formation Imagerie et Robotique Médicale et Chirurgicale) for its financial support. They also thank V. Noblet, M.-A. Jacob-Da Col, D.  ... 
doi:10.1016/j.media.2005.11.002 pmid:16386938 fatcat:pczbxwjrmfgufbj3fvjk5ngvci

Image processing and visualization

2007 International Journal of Computer Assisted Radiology and Surgery  
DSA Purpose One of the major factors determining the outcome of interventions in arteriovenous malformations (AVMs) is a pre-interventional diagnostic imaging.  ...  The vascular system analysis is a process, which involves all the different phases of an operation: diagnosis, pre-operative planning, intra-operative and follow-up evaluations.  ...  Arnaud Charnoz at al''Design of robust vascular tree matching: validation on liver'' Information Processing in Medical Imaging 2005 pages 443-455 6. Julien Jomier at al.''  ... 
doi:10.1007/s11548-007-0086-4 fatcat:aq7pgpo4kzbwrj23aabybsxyxq

Image Processing and Visualization

2008 International Journal of Computer Assisted Radiology and Surgery  
DSA Purpose One of the major factors determining the outcome of interventions in arteriovenous malformations (AVMs) is a pre-interventional diagnostic imaging.  ...  The vascular system analysis is a process, which involves all the different phases of an operation: diagnosis, pre-operative planning, intra-operative and follow-up evaluations.  ...  Arnaud Charnoz at al''Design of robust vascular tree matching: validation on liver'' Information Processing in Medical Imaging 2005 pages 443-455 6. Julien Jomier at al.''  ... 
doi:10.1007/s11548-008-0180-2 fatcat:tqsi2jddwnfsvgpskej2otozym

Image processing and visualization

2012 International Journal of Computer Assisted Radiology and Surgery  
DSA Purpose One of the major factors determining the outcome of interventions in arteriovenous malformations (AVMs) is a pre-interventional diagnostic imaging.  ...  The vascular system analysis is a process, which involves all the different phases of an operation: diagnosis, pre-operative planning, intra-operative and follow-up evaluations.  ...  Arnaud Charnoz at al''Design of robust vascular tree matching: validation on liver'' Information Processing in Medical Imaging 2005 pages 443-455 6. Julien Jomier at al.''  ... 
doi:10.1007/s11548-012-0715-4 fatcat:u7cs7t2dsfc5nkbqgbcpqtusxm

Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery

Darius Burschka, Ming Li, Masaru Ishii, Russell H. Taylor, Gregory D. Hager
2005 Medical Image Analysis  
In: Proceedings of ICRA, 409-415] for reconstruction of a scaled 3D model of the environment from unknown camera motion.  ...  In this paper, we present a novel method for intra-operative registration directly from monocular endoscopic images.  ...  Acknowledgments Partial funding of this research was provided by the National Science Foundation under Grants EEC9731748 (CISST ERC), IIS9801684, IIS0099770, and IIS0205318.  ... 
doi:10.1016/j.media.2005.05.005 pmid:16009593 fatcat:u43h3cx32fawxk36jw7vids2vm

Scale-Invariant Registratiou of Monocular Endoscopic Images to CT-Scans for Sinus Surgery [chapter]

Darius Burschka, Ming Li, Russell Taylor, Gregory D. Hager
2004 Lecture Notes in Computer Science  
In: Proceedings of ICRA, 409-415] for reconstruction of a scaled 3D model of the environment from unknown camera motion.  ...  In this paper, we present a novel method for intra-operative registration directly from monocular endoscopic images.  ...  Acknowledgments Partial funding of this research was provided by the National Science Foundation under Grants EEC9731748 (CISST ERC), IIS9801684, IIS0099770, and IIS0205318.  ... 
doi:10.1007/978-3-540-30136-3_51 fatcat:nh2edfc6d5dk5awte3kcfdplpu

Filtering and segmentation of 3D angiographic data: Advances based on mathematical morphology

A. Dufour, O. Tankyevych, B. Naegel, H. Talbot, C. Ronse, J. Baruthio, P. Dokládal, N. Passat
2013 Medical Image Analysis  
In the last 20 years, 3D angiographic imaging proved its usefulness in the context of various clinical applications.  ...  However, angiographic images are generally difficult to analyse due to their size and the fact that useful information is easily hidden in noise and artifacts.  ...  Acknowledgements The real angiographic data used for these experiments have been provided by the radiology service of the Civil Hospital, Strasbourg, France (PC MRA data), and the In Vivo Imaging Platform  ... 
doi:10.1016/j.media.2012.08.004 pmid:23168165 fatcat:c4q3vizqznerxpqeju7s3dwd5y

A Wavelet Based Sparse Row-Action Method for Image Reconstruction in Magnetic Particle Imaging [article]

Florian Lieb, Tobias Knopp
2020 arXiv   pre-print
or are fast but lack in the image quality of the reconstructed images.  ...  Magnetic Particle Imaging (MPI) is a preclinical imaging technique capable of visualizing the spatio-temporal distribution of magnetic nanoparticles.  ...  This work was supported by the German Federal Ministry of Education and Research (BMBF grant number 05M16WFA).  ... 
arXiv:2003.13787v1 fatcat:gwijtpgigjd47fo7o66dt42tre
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