Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision: A Modern Approach
Computer Vision: A Modern Approach
Coherence-Enhancing Diffusion Filtering
International Journal of Computer Vision
Multiscale Texture Enhancement
CAIP '95 Proceedings of the 6th International Conference on Computer Analysis of Images and Patterns
Parallel Implementations of AOS Schemes: A Fast Way of Nonlinear Diffusion Filtering
ICIP '97 Proceedings of the 1997 International Conference on Image Processing (ICIP '97) 3-Volume Set-Volume 3 - Volume 3
An automatic body ROI determination for 3d visualization of a fetal ultrasound volume
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Speckle reducing anisotropic diffusion
IEEE Transactions on Image Processing
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3D ultrasound is a unique medical imaging modality for observing the growth and malformation of the fetus. But it is necessary to enhance its visual quality by filtering to reduce speckle noise and artifacts. Because imaging of fetuses takes place real time, these processes must also be fast. Previous methods have limited speed, quality, or are only applicable to 2D. We propose a new 3D filtering technique for 3D US fetus volume data which classifies the volume according to local coherence and applies different filters to the volume of interest and to the rest of the 3D image. The volume of interest, which contains the fetus, is determined automatically from key frames, and is processed using a nonlinear coherence enhancing diffusion (NCED) filter. Our method enhances 3D US fetus images more effectively than previous techniques, runs more quickly, and reduces the number of artifacts because it is a true extension to 3D.