Evaluation of Back Projection Methods for Breast Tomosynthesis Image Reconstruction.

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 recons...

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Publicado en:Journal of Digital Imaging Vol. 28; no. 3; pp. 338 - 346
Autores principales: Zhou, Weihua, Lu, Jianping, Zhou, Otto, Chen, Ying
Formato: diagnostic images equations & formulas research tables/charts Journal Article
Publicado: Springer Nature Jun2015
Acceso en línea:Ver este registro en EBSCOhost
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        atl: Evaluation of Back Projection Methods for Breast Tomosynthesis Image Reconstruction.
      aug:
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          Zhou, Weihua
          Lu, Jianping
          Zhou, Otto
          Chen, Ying
        affil: Department of Electrical and Computer Engineering, Southern Illinois University Carbondale, 1230 Lincoln Drive, MC 6603 Carbondale 62901 USA
      sug:
        subj:
          Breast Radiography
          Breast Neoplasms Diagnosis
          Imaging, Three-Dimensional
          Diagnostic Imaging Methods
          Mammography
          Image Processing, Computer Assisted Methods
          Algorithms
          Computer Simulation
          Phantoms, Imaging
          Evaluation Research
          Factor Analysis
          Human
      ab: 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.
      pubtype: Academic Journal
      doctype:
        diagnostic images
        equations & formulas
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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