Pyramidal flux in an anisotropic diffusion scheme for enhancing structures in 3D images

Acosta, Oscar, Frimmel, Hans, Fenster, Aaron, Salvado, Olivier and Ourselin, Sebastien (2008). Pyramidal flux in an anisotropic diffusion scheme for enhancing structures in 3D images. In: Proceedings of SPIE: Medical Imaging 2008: Image processing. Medical Imaging 2008 Conference, San Diego, CA, United States, (91429-91429). 17-19 February 2008. doi:10.1117/12.771862

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Author Acosta, Oscar
Frimmel, Hans
Fenster, Aaron
Salvado, Olivier
Ourselin, Sebastien
Title of paper Pyramidal flux in an anisotropic diffusion scheme for enhancing structures in 3D images
Conference name Medical Imaging 2008 Conference
Conference location San Diego, CA, United States
Conference dates 17-19 February 2008
Proceedings title Proceedings of SPIE: Medical Imaging 2008: Image processing   Check publisher's open access policy
Journal name Medical Imaging 2008: Image Processing, Pts 1-3   Check publisher's open access policy
Place of Publication Bellingham, WA, United States
Publisher SPIE - International Society for Optical Engineering
Publication Year 2008
Sub-type Fully published paper
DOI 10.1117/12.771862
Open Access Status File (Publisher version)
ISBN 978-0-8194-7098-0
ISSN 0277-786X
Volume 6914
Start page 91429
End page 91429
Total pages 12
Language eng
Abstract/Summary Pyramid based methods in image processing provide a helpful framework for accelerating the propagation of information over large spatial domains, increasing the efficiency for large scale applications. Combined with an anisotropic diffusion scheme tailored to preserve the boundaries at a given level, an efficient way for enhancing large structures in 3D images is presented. In our approach, the partial differential equation defining the evolution of the intensity in the image is solved in an explicit scheme at multiple resolutions in an ascending-descending cycle. Intensity 'flux' between distant voxels is allowed, while preserving borders relative to the scale. Experiments have been performed both with phantoms and with real data from 3D Transrectal Ultrasound Imaging. The effectiveness of the method to remove speckle noise and to enhance large structures such as the prostate has been demonstrated. For instance, using two scales reduces the computation time by 87% as compared to a single scale. Furthermore, we show that the boundaries of the prostate are mainly preserved, by comparing with manually outlined edges.
Keyword Multiresolution methods
Noise reduction
Anisotropic diffusion
Partial differential equations
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ
Additional Notes Article # 691429

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