Segmentation of four-dimensional, X-ray computed tomography data
Source abstract
Abstract
Abstract The rapidly improving temporal resolution of X-ray computed tomography (CT) imaging methods makes it ever easier to do in-situ, time-resolved (4D) experiments. This work describes a method of segmenting 4D X-ray CT data that works well for extracting information on the interfacial properties, such as interfacial curvature and velocity. As an example of this method, a segmentation is performed on data from an isothermal coarsening experiment of an Al-Cu solid/liquid mixture.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Metallurgical Processes and Thermodynamics · Minerals Flotation and Separation Techniques · Solidification and crystal growth phenomena
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (11)
Show source-provided references
1. Schmidt S, Nielsen S, Gundlach C, Margulies L, Huang X, Jensen DJ: Watching the growth of bulk grains during recrystallization of deformed metals. Science 2004, 305(5681):229–232. 10.1126/science.109862710.1126/science.1098627 ↗
2. Rowenhorst DJ, Voorhees PW: Measurement of interfacial evolution in three dimensions. Annu Rev Mater Res 2012, 42: 105–124. 10.1146/annurev-matsci-070511-15502810.1146/annurev-matsci-070511-155028 ↗
3. Stock SR: Recent advances in X-ray microtomography applied to materials. Int Mater Rev 2008, 53(3):129–181. 10.1179/174328008X27780310.1179/174328008X277803 ↗
4. Landis EN, Keane DT: X-ray microtomography. Mater Charact 2010, 61(12):1305–1316. 10.1016/j.matchar.2010.09.01210.1016/j.matchar.2010.09.012 ↗
5. Pluim JPW, Maintz JBA, Viergever MA: Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging 2003, 22(8):986–1004. 10.1109/TMI.2003.81586710.1109/TMI.2003.815867 ↗
6. Gulsoy E, Simmons J, DeGraef M: Application of joint histogram and mutual information to registration and data fusion problems in serial sectioning microstructure studies. Scr Mater 2009, 60(6):381–384. 10.1016/j.scriptamat.2008.11.00410.1016/j.scriptamat.2008.11.004 ↗
7. Tsai A, Yezzi A, Willsky AS: A curve evolution approach to smoothing and segmentation using the Mumford-Shah functional. In Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No. PR00662). New York, NY: IEEE; 2000:119–124.10.1109/CVPR.2000.855808 ↗
8. Yezzi A, Tsai A, Willsky A: A fully global approach to image segmentation via coupled curve evolution equations. J Vis Comm Image Represent 2002, 13(1–2):195–216.10.1006/jvci.2001.0500 ↗
9. Chan TF, Vese LA: A level set algorithm for minimizing the mumford-shah functional in image processing. In Proceedings. IEEE Workshop on Variational and Level Set Methods in Computer Vision, 2001. New York, NY: IEEE; 2001:161–168.10.1109/VLSM.2001.938895 ↗
10. Osher S, Fedkiw R: Level set methods and dynamic implicit surfaces. Applied Mathematical Sciences, 2003., vol. 153: Springer, New York Springer, New York
11. Goldman R: Curvature formulas for implicit curves and surfaces. Comput Aided Geomet Des 2005, 22(7):632–658. 10.1016/j.cagd.2005.06.00510.1016/j.cagd.2005.06.005 ↗