Vessel Visualization using Curvicircular Feature Aggregation
Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional...
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| Veröffentlicht in: | Computer graphics forum Jg. 32; H. 3pt2; S. 231 - 240 |
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| Sprache: | Englisch |
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Oxford, UK
Blackwell Publishing Ltd
01.06.2013
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| ISSN: | 0167-7055, 1467-8659 |
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| Abstract | Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists. |
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| AbstractList | Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists. Radiological investigations are common medical practice for the diagnosis of peripheral vascular diseases. Existing visualization methods such as Curved Planar Reformation (CPR) depict calcifications on vessel walls to determine if blood is still able to flow. While it is possible with conventional CPR methods to examine the whole vessel lumen by rotating around the centerline of a vessel, we propose Curvicircular Feature Aggregation (CFA), which aggregates these rotated images into a single view. By eliminating the need for rotation, vessels can be investigated by inspecting only one image. This method can be used as a guidance and visual analysis tool for treatment planning. We present applications of this technique in the medical domain and give feedback from radiologists [PUBLICATION ABSTRACT]. |
| Author | Mistelbauer, G. Bruckner, S. Köchl, A. Baclija, I. Kanitsar, A. Varchola, A. Morar, A. Gröller, E. Schernthaner, R. |
| Author_xml | – sequence: 1 givenname: G. surname: Mistelbauer fullname: Mistelbauer, G. organization: Vienna University of Technology, Austria – sequence: 2 givenname: A. surname: Morar fullname: Morar, A. organization: University Politehnica of Bucharest, Romania – sequence: 3 givenname: A. surname: Varchola fullname: Varchola, A. organization: Vienna University of Technology, Austria – sequence: 4 givenname: R. surname: Schernthaner fullname: Schernthaner, R. organization: Medical University of Vienna, Austria – sequence: 5 givenname: I. surname: Baclija fullname: Baclija, I. organization: Kaiser-Franz-Josef Hospital Vienna, Austria – sequence: 6 givenname: A. surname: Köchl fullname: Köchl, A. organization: Kaiser-Franz-Josef Hospital Vienna, Austria – sequence: 7 givenname: A. surname: Kanitsar fullname: Kanitsar, A. organization: VISUAPPS GmbH – sequence: 8 givenname: S. surname: Bruckner fullname: Bruckner, S. organization: University of Bergen, Norway – sequence: 9 givenname: E. surname: Gröller fullname: Gröller, E. organization: Vienna University of Technology, Austria |
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| Cites_doi | 10.1148/radiol.2441060976 10.1145/280814.280826 10.1109/TVCG.2011.192 10.1145/127719.122757 10.1109/TVCG.2009.136 10.1145/1330511.1330513 10.1111/j.1467-8659.2004.00794.x 10.1002/vis.4340050402 10.1145/37402.37422 10.1007/978-3-662-07443-5_24 10.1145/1128888.1128901 10.1007/s00330-004-2289-1 10.1016/j.compmedimag.2010.07.006 10.1109/TVCG.2007.1068 10.1007/BF01901044 10.1145/2070781.2024165 10.1109/TVCG.2007.70550 10.1007/3-540-30790-7_13 10.1002/(SICI)1099-1778(199610)7:4<211::AID-VIS152>3.0.CO;2-H |
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| References_xml | – reference: Lampe O. D., Correa C., Ma K.-L., Hauser H.: Curve-centric volume reformation for comparative visualization. IEEE Transactions on Visualization and Computer Graphics 15, 6 (2009), 1235-1242. 2. – reference: Lorensen W. E., Cline H. E.: Marching cubes: A high resolution 3d surface construction algorithm. SIGGRAPH Comput. Graph. 21, 4 (1987), 163-169. 2. – reference: Kim M.-S., Park E.-J., Lee H.-Y.: Modeling and animation of generalized cylinders with variable radius offset space curves. Journal of Visualization and Computer Animation 5, 4 (1994), 189-207. 2. – reference: Löffelmann H., Gröller E.: Ray tracing with extended cameras. The Journal of Visualization and Computer Animation 7, 4 (1996), 211-227. 2. – reference: Wang W., Jüttler B., Zheng D., Liu Y.: Computation of rotation minimizing frames. ACM Trans. Graph. 27, 1 (2008), 2:1-2:18. 4. – reference: Roos J. E., Fleischmann D., Köchl A., Rakshe T., Straka M., Napoli A., Kanitsar A., Sramek M., Gröller E.: Multi-path curved planar reformation (mpCPR) of the peripheral arterial tree in CT angiography (CTA). Radiology 244, 1 (2007), 281-290. 2. – reference: Borkin M. A., Gajos K. Z., Peters A., Mitsouras D., Melchionna S., Rybicki F. J., Feldman C. L., Pfister H.: Evaluation of artery visualizations for heart disease diagnosis. IEEE Trans. Vis. Comput. Graphics 17, 12 (2011), 2479-2488. 2, 6. – reference: Wua J., Maa R., Maa X., Jia F., Hua Q.: Curvature-dependent surface visualization of vascular structures. Computerized Medical Imaging and Graphics 34 (2010), 651-658. 2. – reference: Portugaller H. R., Schoellnast H., Hausegger K. A., Tiesenhausen K., Amann W., Berghold A.: Multislice spiral CT angiography in peripheral arterial occlusive disease: a valuable tool in detecting significant arterial lumen narrowing? European Radiology 14, 9 (2004), 1681-1687. 3. – reference: Termeer M., Oliván Bescós J., Breeuwer M., Vilanova A., Gerritsen F., Gröller E.: CoViCAD: Comprehensive visualization of coronary artery disease. IEEE Trans. Vis. Comput. Graphics 13, 6 (2007), 1632-1639. 2. – reference: Weiskopf D., Schafhitzel T., Ertl T.: GPU-based nonlinear ray tracing. Comput. Graph. Forum 23, 3 (2004), 625-634. 2. – reference: Gröller M. E.: Nonlinear raytracing - visualizing strange worlds. Visual Computer 11, 5 (1995), 263-274. 2. – reference: Hsu W.-H., Ma K.-L., Correa C.: A rendering framework for multiscale views of 3d models. ACM Trans. Graph. 30, 6 (2011), 131:1-131:10. 2. – reference: Hahn H. K., Preim B., Selle D., Peitgen H.-O.: Visualization and interaction techniques for the exploration of vascular structures. In IEEE Visualization 2001 (2001), pp. 395-402. 2. – reference: Williams D., Grimm S., Coto E., Roudsari A., Hatzakis H.: Volumetric curved planar reformation for virtual endoscopy. 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| SubjectTerms | Agglomeration Analysis Blood Calcification Cardiovascular disease Computer graphics I.3.3 [Computer Graphics]: Picture/Image Generation-Display algorithms I.3.7 [Computer Graphics]: Three-Dimensional Graphics and Realism-Raytracing I.4.6 [Image Processing and Computer Vision]: Segmentation-Edge and feature detection Medical Medical diagnosis Studies Visual Visualization |
| Title | Vessel Visualization using Curvicircular Feature Aggregation |
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