From Imprecise User Input to Precise Vessel Segmentations

Vessel segmentation is an important prerequisite for many medical applications. While automatic vessel segmentation is an active field of research, interaction and visualization techniques for semi ...

[1]  Bernhard Preim,et al.  3D Visualization of Vasculature: An Overview , 2008, Visualization in Medicine and Life Sciences.

[2]  Alejandro F. Frangi,et al.  Efficient pipeline for image-based patient-specific analysis of cerebral aneurysm hemodynamics: technique and sensitivity , 2005, IEEE Transactions on Medical Imaging.

[3]  Leo Grady,et al.  Random Walks for Image Segmentation , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[4]  Wiro J Niessen,et al.  Semiautomatic segmentation and stenosis quantification of 3D contrast‐enhanced MR angiograms of the internal carotid artery , 2004, Magnetic resonance in medicine.

[5]  Leo Joskowicz,et al.  Evaluation framework for carotid bifurcation lumen segmentation and stenosis grading , 2011, Medical Image Anal..

[6]  Yan Kang,et al.  Interactive 3D editing tools for image segmentation , 2004, Medical Image Anal..

[7]  Timo Ropinski,et al.  Multimodal Vessel Visualization of Mouse Aorta PET/CT Scans , 2009, IEEE Transactions on Visualization and Computer Graphics.

[8]  Alexandra La Cruz,et al.  Accuracy Evaluation of Different Centerline Approximations of Blood Vessels , 2004, VisSym.

[9]  Guido Gerig,et al.  Three-dimensional multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1998, Medical Image Anal..

[10]  Luis Serra,et al.  Interactive vessel tracing in volume data , 1997, SI3D.

[11]  Armin Kanitsar,et al.  CPR - curved planar reformation , 2002, IEEE Visualization, 2002. VIS 2002..

[12]  Holger Timinger,et al.  Integration of Interactive Corrections to Model-Based Segmentation Algorithms , 2003, Bildverarbeitung für die Medizin.

[13]  Isabelle Bloch,et al.  A review of 3D vessel lumen segmentation techniques: Models, features and extraction schemes , 2009, Medical Image Anal..

[14]  Ivan Viola,et al.  Importance-driven volume rendering , 2004, IEEE Visualization 2004.

[15]  Tao Ju,et al.  Interactive skeletonization of intensity volumes , 2009, The Visual Computer.

[16]  Eduard Gröller,et al.  The VesselGlyph: focus & context visualization in CT-angiography , 2004, IEEE Visualization 2004.

[17]  Henning Scharsach Advanced GPU Raycasting , 2005 .

[18]  Uncertainty-Aware Guided Volume Segmentation , 2010, IEEE Transactions on Visualization and Computer Graphics.

[19]  Stefan Bruckner,et al.  Contextual picking of volumetric structures , 2009, 2009 IEEE Pacific Visualization Symposium.

[20]  Frank Nielsen,et al.  Volume catcher , 2005, I3D '05.

[21]  Arnold W. M. Smeulders,et al.  Interaction in the segmentation of medical images: A survey , 2001, Medical Image Anal..

[22]  Katja Bühler,et al.  Geometric Methods for Vessel Visualization and Quantification — A Survey , 2004 .

[23]  Markus Hadwiger,et al.  Scalable and Interactive Segmentation and Visualization of Neural Processes in EM Datasets , 2009, IEEE Transactions on Visualization and Computer Graphics.

[24]  Moritz Helmstaedter,et al.  High-accuracy neurite reconstruction for high-throughput neuroanatomy , 2011, Nature Neuroscience.

[25]  Guido Gerig,et al.  3D Multi-scale line filter for segmentation and visualization of curvilinear structures in medical images , 1997, CVRMed.

[26]  Ghassan Hamarneh,et al.  Active Learning for Interactive 3D Image Segmentation , 2011, MICCAI.

[27]  Frank Nielsen,et al.  Projection plane processing for sketch-based volume segmentation , 2008, 2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro.

[28]  Örjan Smedby,et al.  Integrating automatic and interactive methods for coronary artery segmentation: let the PACS workstation think ahead , 2009, International Journal of Computer Assisted Radiology and Surgery.

[29]  Armin Kanitsar,et al.  Advanced curved planar reformation: flattening of vascular structures , 2003, IEEE Visualization, 2003. VIS 2003..