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- 鈴木 茂人
- 北見工業大学情報システムエ学科
書誌事項
- タイトル別名
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- Various Methods of Iterative Least-Squares Image Reconstruction for Emission Tomography
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This paper intends to explain iterative image reconstruction methods for emission tomography based on least-squares objective functions. The methods estimate object distributions by minimizing the objective functions in iterative manners under constraints or no constraint. As for the constraints, non-negativity of pixel values is considered, as in most cases. For convenience the methods are divided into three groups. The first is the so called nonlinear optimization methods performing line searches, such as the conjugate gradient method for unconstrained optimization, and the gradient and augmented Lagrangian methods for constrained optimization. The second is the methods using the Gauss-Siedel and successive over-relaxation methods. The third is the method of applying Karush-Kuhn-Tucker conditions to image reconstruction. Algorithms for the three groups are described.
収録刊行物
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- Japanese Journal of Medical Physics
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Japanese Journal of Medical Physics 19 (3), 193-204, 1999
一般社団法人 日本医学物理学会
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キーワード
詳細情報 詳細情報について
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- CRID
- 1390282679649241984
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- NII論文ID
- 10004572625
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- NII書誌ID
- AA11137895
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- ISSN
- 21869855
- 09188010
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可