Resolution and Noise Trade-Off Analysis for Digital Radiography Using Mutual-Information Metric(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))

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概要

• 論文の詳細を見る

• Currently, the modulation transfer function and noise power spectrum are commonly used as image quality metrics to characterize the resolution and noise performance of digital radiographic systems. In general, higher spatial resolution leads to an increased noise level. One of the current dilemmas in digital radiography is the extent to which these parameters affect physical or clinical image quality. A system may only be superior in one metric while being inferior to another in the other metric. In this work, a computer simulation approach is presented that is to employ mutual-information metric to analysis the trade-off between resolution and noise.

• 社団法人電子情報通信学会の論文
• 2009-01-12

著者

• Tsai Du-yih

  School Of Health Sciences Niigata University

• Tsai Du

  Department Of Radiological Technology Faculty Of Medicine Niigata University

• Lee Yongbum

  School Of Health Sciences Niigata University

• MATSUYAMA Eri

  Graduate School of Health Sciences, Niigata University

• KOJIMA Katsuyuki

  Faculty of Administration and Informatics, University of Hamamatsu

• Kojima Katsuyuki

  Faculty Of Administration And Informatics University Of Hamamatsu

• Matsuyama Eri

  Graduate School Of Health Sciences Niigata University

関連論文

• Nodule Detection in 3D Chest CT Images Using 2nd Order Autocorrelation Features and GA Template Matching(Joint Session 1)
• Resolution and Noise Trade-Off Analysis for Digital Radiography Using Mutual-Information Metric(International Forum on Medical Imaging in Asia 2009 (IFMIA 2009))
• Image quality evaluation of digital imaging systems by use of a metric of transmitted information

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