逐次近似法を用いた脳動脈CT画像の画質評価
Bibliographic Information
- Other Title
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- 逐次近似法を用いた脳動脈CT画像の画質評価(医用画像とIMQ一般)
- チクジ キンジホウ オ モチイタ ノウ ドウミャク CT ガゾウ ノ ガシツ ヒョウカ
- Evaluation of Image Quality of Brain CT Angiography Reconstructed Using Adaptive Statistical Iterative Reconstruction Techniques
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Abstract
Recently, image reconstruction method called Adaptive Iterative Statistical Reconstruction (ASIR) has been developed. This reconstruction algorithm makes it possible to reduce image noise on CT images. However, the role of ASIR in head CT angiography was never reported to date, to our knowledge. Therefore, it is clinical useful to evaluate the image quality of head CT angiography reconstructed using ASIR algorithm. In this study, we have devised the new method for evaluate the sharpness of CT images using "Toeplitz matrix" and quantitatively assessed the sharpness of artery contours on CT angiography reconstructed using ASIR algorithm. The contrast resolution of CT angiography with ASIR reconstruction was also evaluated.
Journal
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- 電子情報通信学会技術研究報告. IMQ, イメージ・メディア・クオリティ
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電子情報通信学会技術研究報告. IMQ, イメージ・メディア・クオリティ 112 (316), 5-10, 2012-11-16
一般社団法人電子情報通信学会
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Keywords
Details 詳細情報について
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- CRID
- 1050282813781412736
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- NII Article ID
- 110009641613
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- NII Book ID
- AA1123312X
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- HANDLE
- 2237/23657
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- NDL BIB ID
- 024149593
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- ISSN
- 09135685
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- IRDB
- NDL
- CiNii Articles