NON-LOCAL OPERATIONAL ANISOTROPIC DIFFUSION FILTER

被引：0
|
作者：
Cappabianco, Fabio A. M. [1 ]
dos Santos, Sergio R. B. [1 ]
Ide, Jaime S. [2 ]
da Silva, Petrus P. C. E. [3 ]
机构：
[1] Univ Fed Sao Paulo, ICT, GIBIS, Sao J Campos, SP, Brazil
[2] Yale Univ, Sch Med, New Haven, CT USA
[3] AC Camargo Canc Ctr, Sao Paulo, SP, Brazil
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP) | 2019年
基金：
巴西圣保罗研究基金会;
关键词：
diffusion filter; noise filtering; medical imaging; PERONA-MALIK MODEL; EDGE-DETECTION; SCALE-SPACE; IMAGE; NOISE;
D O I：
10.1109/icip.2019.8802958
中图分类号：
TB8 [摄影技术];
学科分类号：
0804 ;
摘要：
High-frequency noise is present in several modalities of medical images. It originates from the acquisition process, scanner configurations, the scanned body, or to other external factors. This way, prospective filters are an important tool to improve image quality. In this paper, we propose a non-local weighted operational anisotropic diffusion filter and evaluate its effect on magnetic resonance images and on kV/CBCT radiotherapy images. We also provide a detailed analysis of non-local parameter settings. Results show that the new filter enhances previous local implementations and has potential application in radiotherapy treatments.
引用
收藏
页码：195 / 199
页数：5
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