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Faster, more accurate diffusion filtering for fetal ultrasound volumes
- Title
- Faster, more accurate diffusion filtering for fetal ultrasound volumes
- Authors
- Kim M.-J.; Yun H.-J.; Kim M.-H.
- Ewha Authors
- 김명희
- SCOPUS Author ID
- 김명희
- Issue Date
- 2006
- Journal Title
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- ISSN
- 0302-9743
- Citation
- Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) vol. 4142 LNCS, pp. 524 - 534
- Indexed
- SCOPUS
- Document Type
- Conference Paper
- Abstract
- 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. © Springer-Verlag Berlin Heidelberg 2006.
- ISBN
- 3540448942
9783540448945
- Appears in Collections:
- 인공지능대학 > 컴퓨터공학과 > Journal papers
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