## Abstract A new approach to approximate the 3βD shape of multiple sclerosis (MS) lesions and to calculate their volumes is presented. The suggested method utilizes sets of MS lesion contours taken from segmented MR images and approximates their 3βD surfaces by spherical harmonics. This method was
3D surface filtering using spherical harmonics
β Scribed by Kun Zhou; Hujun Bao; Jiaoying Shi
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 597 KB
- Volume
- 36
- Category
- Article
- ISSN
- 0010-4485
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β¦ Synopsis
This paper presents a novel approach for 3D surface filtering over two-manifold meshes. A robust spherical parameterization algorithm is proposed to transform the input surface into a spherical vector function/signal. This signal is then decomposed into frequency domain using spherical harmonic transforms. Finally, traditional filtering techniques are generalized to process such spherical signals in either the frequency or spatial domain. Our major contribution is the two-phase spherical parameterization algorithm, which can handle meshes with complex shapes by incorporating local parameterization into the progressive mesh. A number of experimental examples demonstrate the potential of our algorithm.
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