Evaluation of Back Projection Methods for Breast Tomosynthesis Image Reconstruction

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• 作者：Weihua Zhou ; Jianping Lu ; Otto Zhou ; Ying Chen
• 关键词：Mammography ; Digital breast tomosynthesis (DBT) ; Back projection (BP) ; α ; Trimmed method ; Principal components analysis (PCA)
• 刊名：Journal of Digital Imaging
• 出版年：2015
• 出版时间：June 2015
• 年：2015
• 卷：28
• 期：3
• 页码：338-345
• 全文大小：1,084 KB
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• 作者单位：Weihua Zhou (1)
  Jianping Lu (2) (3)
  Otto Zhou (2) (3)
  Ying Chen (1)
  
  1. Department of Electrical and Computer Engineering, Southern Illinois University Carbondale, 1230 Lincoln Drive, MC 6603, Carbondale, IL, 62901, USA
  2. Department of Physics and Astronomy, Curriculum in Applied Sciences and Engineering, The University of North Carolina, Chapel Hill, USA
  3. Lineberger Comprehensive Cancer Center, The University of North Carolina, Chapel Hill, USA
  
• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Imaging and Radiology
  
• 出版者：Springer New York
• ISSN：1618-727X

文摘

Breast cancer is the most common cancer among women in the USA. Compared to mammography, digital breast tomosynthesis is a new imaging technique that may improve the diagnostic accuracy by removing the ambiguities of overlapped tissues and providing 3D information of the breast. Tomosynthesis reconstruction algorithms generate 3D reconstructed slices from a few limited angle projection images. Among different reconstruction algorithms, back projection (BP) is considered an important foundation of quite a few reconstruction techniques with deblurring algorithms such as filtered back projection. In this paper, two BP variants, including α-trimmed BP and principal component analysis-based BP, were proposed to improve the image quality against that of traditional BP. Computer simulations and phantom studies demonstrated that the α-trimmed BP may improve signal response performance and suppress noise in breast tomosynthesis image reconstruction.