Integrated Imaging Facility

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  • Author(s):
    Tyler Curtis, Ryan Roeder
    Abstract:

    Mammographic screening for breast cancer is unable to distinguish molecular differences between hydroxyapatite (HA) microcalcifications (μcals) that are associated with malignancy and calcium oxalate (CaOx) μcals that are benign. Therefore, the objective of this study was to investigate quantitative material decomposition of model breast μcals of clinically-relevant composition and size using spectral photon-counting computed tomography (PCCT). Model μcals composed of HA, CaOx, and dicalcium …

    Date Published:
    2020-09
    Record Visibility:
    Public
  • Author(s):
    Obaidullah Rahman, Ken Sauer
    Abstract:

    In this work, we perform direct material reconstruction from spectral CT data using a model based iterative reconstruction (MBIR) approach. Material concentrations are measured in volume fractions, whose total is constrained by a maximum of unity. A phantom containing a combination of 4 basis materials (water, iodine, gadolinium, calcium) was scanned using a photon-counting detector. Iodine and gadolinium were chosen because of their common use as contrast agents in CT imaging. Scan data was …

    Date Published:
    2020-08
    Record Visibility:
    Public
  • Author(s):
    Tracie Mcginnity
    Date Created:
    2020-01-09
    Record Visibility:
    Public
    Resource Type
    Document
  • Author(s):
    Ryan Roeder, Tyler Curtis
    Abstract:

    Quantitative material decomposition of multiple mixed, or spatially coincident, contrast agent (gadolinium and iodine) and tissue (calcium and water) compositions is demonstrated using photon-counting spectral computed tomography (CT). Material decomposition is performed using constrained maximum like- lihood estimation (MLE) in the image domain. MLE is calibrated by multiple linear regression of all pure material compositions, which exhibits a strong correlation (R2 > 0.91) between the me…

    Date Published:
    2019-01
    Record Visibility:
    Public