Abstract
Digital subtraction angiography has become one of the most important approaches to artery disease diagnosis and treatment. Doctors implement diagnose and treatment by subjective analysis of the DSA series, and the results are always dependent on doctors’ experience. The application of color-coded imaging technology makes it convenient to identify images and provides additional physiology information auxiliary diagnosis and treatment. Before implementing color-coded imaging technology on DSA series, we preprocess the images with several mutiscale spatial filters to remove noises and enhance vessel structures to make the results readable and clear.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Strother, C.M.: Digital Subtraction Angiography Becomes More Colorfuls. AXIOM Innovations, 17–18 (March 2009)
Wu, Y.-N., Yang, P.-F., Ye, H., Huang, Q.-H., Liu, J.-M.: Color-coded Imaging Technology and Its Clinical Applications in Cerebral Vessel Disease. China Journal Stroke 8(1), 69–73 (2013)
Shang, Y., Deklerck, R., Nyssen, E., Markova, A., de Mey, J., Yang, X., Sun, K.: Vascular Active Contour for Vessel Tree Segmentation. IEEE Transactions on Biomedical Engineering 58(4), 1023–1032 (2011)
Frangi, A.F., Niessen, W.J., Vincken, K.L., Viergever, M.A.: Multiscale vessel enhancement filtering. In: Wells, W.M., Colchester, A.C.F., Delp, S.L. (eds.) MICCAI 1998. LNCS, vol. 1496, pp. 130–137. Springer, Heidelberg (1998)
Frangi, A.F., Niessen, W.J., Hoogeveen, R.M., van Walsum, T., Viergever, M.A.: Model-based quantization of 3D magnetic resonance angiographic images. IEEE Transactions on Medical Imaging 18(10), 946–956 (1999)
Schuldhaus, D., Spiegel, M., Redel, T., Polyanskaya, M., Struffert, T., Hornegger, J., Doerfler, A.: Classification-based summation of cerebral digital subtraction angiography series for image post-processing algorithms. Physics in Medicine and Biology 56(1), 1791–1802 (2011)
Sang, N., Li, H., Peng, W., Zhang, T.: Knowledge-based adaptive threshold segmentation of digital subtraction angiography images. Image and Vision Computing 25(8), 1263–1270 (2007)
Cebral, R., Castro, A., Appanaboyina, S., Putman, M., Millan, D., Frangi, F.: Efficient Pipeline for Image-Based Patient-Specific Analysis of Cerebral Aneurysm Hemodynamics: Technique and Sensitivity. IEEE Transactions on Medical Image 24(4), 457–467 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Zhang, X., Chen, X., Li, C., Zhang, F. (2014). Color-Coded Imaging with Adaptive Multiscale Spatial Filtering. In: Zhang, Y., Yao, G., He, J., Wang, L., Smalheiser, N.R., Yin, X. (eds) Health Information Science. HIS 2014. Lecture Notes in Computer Science, vol 8423. Springer, Cham. https://doi.org/10.1007/978-3-319-06269-3_13
Download citation
DOI: https://doi.org/10.1007/978-3-319-06269-3_13
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-06268-6
Online ISBN: 978-3-319-06269-3
eBook Packages: Computer ScienceComputer Science (R0)