Title :
3-D mesh compensated wavelet lifting for 3-D+t medical CT data
Author :
Schnurrer, Wolfgang ; Richter, Thomas ; Seiler, Jurgen ; Herglotz, Christian ; Kaup, Andre
Author_Institution :
Multimedia Commun. & Signal Process., Friedrich-Alexander-Univ. Erlangen-Nurnberg (FAU), Erlangen, Germany
Abstract :
For scalable coding, a high quality of the lowpass band of a wavelet transform is crucial when it is used as a downscaled version of the original signal. However, blur and motion can lead to disturbing artifacts. By incorporating feasible compensation methods directly into the wavelet transform, the quality of the lowpass band can be improved. The displacement in dynamic medical 3-D+t volumes from Computed Tomography is mainly given by expansion and compression of tissue over time and can be modeled well by mesh-based methods. We extend a 2-D mesh-based compensation method to three dimensions to obtain a volume compensation method that can additionally compensate deforming displacements in the third dimension. We show that a 3-D mesh can obtain a higher quality of the lowpass band by 0.28 dB with less than 40% of the model parameters of a comparable 2-D mesh. Results from lossless coding with JPEG 2000 3D and SPECK3D show that the compensated subbands using a 3-D mesh need about 6% less data compared to using a 2-D mesh.
Keywords :
biomechanics; compressibility; computerised tomography; image coding; image restoration; medical image processing; mesh generation; wavelet transforms; 2D mesh-based compensation method; 3-D+t medical CT data; 3D mesh compensated wavelet lifting; JPEG 2000 3D; SPECK3D; artifact motion; blur artifact; compensated subbands; computed tomography; deforming displacements; downscaled version; dynamic medical 3-D+t volume displacement; feasible compensation methods; lossless coding; low-pass band; original signal; scalable coding; tissue compression; tissue expansion; volume compensation method; wavelet transform; Computed tomography; Image coding; PSNR; Transform coding; Vectors; Wavelet transforms; Computed Tomography; Discrete Wavelet Transforms; Motion Compensation; Scalability; Signal Analysis;
Conference_Titel :
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location :
Paris
DOI :
10.1109/ICIP.2014.7025737