发明名称 |
Scale-based image filtering of magnetic resonance data |
摘要 |
The invention provides novel scale-based filtering methods that use local structure size or "object scale" information to arrest smoothing around fine structures and across even low-gradient boundaries. One method teaches a weighted average over a scale-dependent neighborhood; while another employs scale-dependent diffusion conductance to perform filtering. Both methods adaptively modify the degree of filtering at any image location depending on local object scale. This permits a restricted homogeneity parameter to be accurately used for filtering in regions with fine details and in the vicinity of boundaries, while at the same time, a generous filtering parameter is used in the interiors of homogeneous regions. |
申请公布号 |
US2002035323(A1) |
申请公布日期 |
2002.03.21 |
申请号 |
US20010779032 |
申请日期 |
2001.02.07 |
申请人 |
SAHA PUNAM KUMAR;UDUPA JAYARAM K. |
发明人 |
SAHA PUNAM KUMAR;UDUPA JAYARAM K. |
分类号 |
A61B5/055;G06T5/00;(IPC1-7):A61B5/055 |
主分类号 |
A61B5/055 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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