Tissue-specific sparse deconvolution for brain CT perfusion
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- 作者：Ruogu Fanga ; rfang@cs.fiu.edu" class="auth_mail" title="E-mail the corresponding author ; ; Haodi Jianga ; Junzhou Huangb
- 关键词：Low-dose CT perfusion ; Tissue-specific ; Dictionary learning ; Ischemic detection ; Deconvolution
- 刊名：Computerized Medical Imaging and Graphics
- 出版年：2015
- 出版时间：December 2015
- 年：2015
- 卷：46
- 期：part_P1
- 页码：64-72
- 全文大小：5678 K
文摘
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Tissue-specific deconvolution is proposed to preserve the low-contrast tissues.
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Tissue-specific dictionaries are learned from tissue segments of high-dose maps.
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Weighted sparse deconvolution is based on the tissue classification probability.
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A unified reconstruction framework for the low-dose perfusion deconvolution.
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Outperforms state-of-art in extensive evaluation on clinical datasets.