Simulation of scanner- and patient-specific low-dose CT imaging from existing CT images

Robiel Naziroglu, Vincent van Ravesteijn, Lucas van Vliet, G.J. Streekstra, Frans Vos

    Research output: Contribution to journalArticleScientificpeer-review

    7 Citations (Scopus)
    142 Downloads (Pure)


    Simulating low-­dose Computed Tomography (CT) facilitates in-­silico studies into the required dose for a diagnostic task. Conventionally, low-­‐dose CT images are created by adding noise to the projection data. However, in practice the raw data is often simply not available. This paper presents a new method for simulating patient-­‐specific, low-dose CT images without the need
    of the original projection data.

    The low-­dose CT simulation method included the following: (1) computation of a virtual sinogram from a high dose CT image through a
    radon transform; (2) simulation of a 'reduced'­‐dose sinogram with appropriate
    amounts of noise; (3) subtraction of the high-­‐dose virtual sinogram from the
    reduced-­‐dose sinogram; (4) reconstruction of a noise volume via filtered back-projection; (5) addition of the noise image to the original high-dose image. The
    required scanner-­Specific parameters, such as the apodization window, bowtie
    filter, the X-ray tube output parameter (reflecting the photon flux) and the detector read-­out noise, were retrieved from calibration images of a water
    cylinder. The low-­‐dose simulation method was evaluated by comparing the
    noise characteristics in simulated images with experimentally acquired

    The models used to recover the scanner-­specific parameters fitted accurately to
    the calibration data, and the values of the parameters were comparable to values
    reported in literature. Finally, the simulated low-dose images accurately reproduced the noise characteristics in experimentally acquired low-dose­‐volumes.

    The developed methods truthfully simulate low-­dose CT imaging for a specific
    scanner and reconstruction using filtered backprojection. The scanner-­‐specific
    parameters can be estimated from calibration data.
    Original languageEnglish
    Pages (from-to)12-23
    Number of pages12
    JournalPhysica Medica: an international journal devoted to the applications of physics to medicine and biology
    Publication statusPublished - 2017

    Bibliographical note

    Accepted Author Manuscript


    • Filtered back projection
    • Noise power spectrum
    • Bowtie filter
    • Read-out noise
    • Sinogram


    Dive into the research topics of 'Simulation of scanner- and patient-specific low-dose CT imaging from existing CT images'. Together they form a unique fingerprint.

    Cite this