数字乳腺断层合成(DBT)中移位加和反向投影图像重建算法的脉冲响应和调制传递函数分析。

Ying Chen, Joseph Y Lo, James T Dobbins
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引用次数: 4

摘要

乳腺癌是仅次于肺癌的第二大女性不可预防的癌症死亡原因。数字乳腺断层合成(DBT)是一种很有前途的技术,可以提高乳腺癌的早期检测。在本文中,我们提出了脉冲响应和调制传递函数(MTF)分析,以定量地比较位移和添加(SAA)和逐点反向投影(BP)三维图像重建算法在DBT。采用基于逐点BP的滤波反投影(FBP)去模糊算法对去模糊的断层合成图像进行了演示。
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Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT).

Breast cancer is second only to lung cancer as the leading cause of non-preventable cancer death in women. Digital Breast Tomosynthesis (DBT) is a promising technique to improve early breast cancer detection. In this paper, we present the impulse response and Modulation Transfer Function (MTF) analysis to quantitatively compare Shift-And-Add (SAA) and point-by-point Back Projection (BP) three-dimensional image reconstruction algorithms in DBT. A Filtered Back Projection (FBP) deblurring algorithm based on point-by-point BP was used to demonstrate deblurred tomosynthesis images.

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LOINC® - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections. Imaging informatics for personalised medicine: applications and challenges. Impulse response and Modulation Transfer Function analysis for Shift-And-Add and Back Projection image reconstruction algorithms in Digital Breast Tomosynthesis (DBT). New statistical learning theory paradigms adapted to breast cancer diagnosis/classification using image and non-image clinical data.
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