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  • 1
    Online Resource
    Online Resource
    Wiley ; 2008
    In:  Medical Physics Vol. 35, No. 9 ( 2008-09), p. 4173-4185
    In: Medical Physics, Wiley, Vol. 35, No. 9 ( 2008-09), p. 4173-4185
    Abstract: Contemporary reconstruction methods employed for clinical helical cone‐beam computed tomography (CT) are analytical (noniterative) but mathematically nonexact, i.e., the reconstructed image contains so called cone‐beam artifacts, especially for higher cone angles. Besides cone artifacts, these methods also suffer from windmill artifacts: alternating dark and bright regions creating spiral‐like patterns occurring in the vicinity of high ‐direction derivatives. In this article, the authors examine the possibility to suppress cone and windmill artifacts by means of iterative application of nonexact three‐dimensional filtered backprojection, where the analytical part of the reconstruction brings about accelerated convergence. Specifically, they base their investigations on the weighted filtered backprojection method [Stierstorfer et al., Phys. Med. Biol. 49, 2209–2218 (2004)]. Enhancement of high frequencies and amplification of noise is a common but unwanted side effect in many acceleration attempts. They have employed linear regularization to avoid these effects and to improve the convergence properties of the iterative scheme. Artifacts and noise, as well as spatial resolution in terms of modulation transfer functions and slice sensitivity profiles have been measured. The results show that for cone angles up to , cone artifacts are suppressed and windmill artifacts are alleviated within three iterations. Furthermore, regularization parameters controlling spatial resolution can be tuned so that image quality in terms of spatial resolution and noise is preserved. Simulations with higher number of iterations and long objects (exceeding the measured region) verify that the size of the reconstructible region is not reduced, and that the regularization greatly improves the convergence properties of the iterative scheme. Taking these results into account, and the possibilities to extend the proposed method with more accurate modeling of the acquisition process, the authors believe that iterative improvement with non‐exact methods is a promising technique for medical CT applications.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    Language: English
    Publisher: Wiley
    Publication Date: 2008
    detail.hit.zdb_id: 1466421-5
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  • 2
    In: European Journal of Radiology, Elsevier BV, Vol. 82, No. 2 ( 2013-2), p. 270-274
    Type of Medium: Online Resource
    ISSN: 0720-048X
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2013
    detail.hit.zdb_id: 2005350-2
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  • 3
    In: Medical Physics, Wiley, Vol. 40, No. 6Part1 ( 2013-06)
    Abstract: To assess the z‐axis resolution improvement and dose reduction potential achieved using a z‐axis deconvolution technique with iterative reconstruction (IR) relative to filtered backprojection (FBP) images created with the use of a z‐axis comb filter. Methods: Each of three phantoms were scanned with two different acquisition modes: (1) an ultrahigh resolution (UHR) scan mode that uses a comb filter in the fan angle direction to increase in‐plane spatial resolution and (2) a z‐axis ultrahigh spatial resolution (zUHR) scan mode that uses comb filters in both the fan and cone angle directions to improve both in‐plane and z‐axis spatial resolution. All other scanning parameters were identical. First, the ACR CT Accreditation phantom, rotated by 90° so that the high‐contrast spatial resolution targets were parallel to the coronal plane, was scanned to assess limiting spatial resolution and image noise. Second, section sensitivity profiles (SSPs) were measured using a copper foil embedded in an acrylic cylinder and the full‐width‐at‐half‐maximum (FWHM) and full‐width‐at‐tenth‐maximum (FWTM) of the SSPs were calculated. Third, an anthropomorphic head phantom containing a human skull was scanned to assess clinical acceptability for imaging of the temporal bone. For each scan, FBP images were reconstructed for the zUHR scan using the narrowest image thickness available. For the CT accreditation phantom, zUHR images were also reconstructed using an IR algorithm (SAFIRE, Siemens Healthcare, Forchheim, Germany) to assess the influence of the IR algorithm on image noise. A z‐axis deconvolution technique combined with the IR algorithm was used to reconstruct images at the narrowest image thickness possible from the UHR scan data. Images of the ACR and head phantoms were reformatted into the coronal plane. The head phantom images were evaluated by a neuroradiologist to assess acceptability for use in patients undergoing clinically indicated CT imaging of the temporal bone. Results: The limiting spatial resolution was 12 lp/cm for the FBP‐zUHR images and the IR‐UHR images, although visual assessment indicated a slight improvement for the IR‐UHR images. Image noise was 213.0, 181.8, and 153.5 for the FBP‐zUHR, IR‐zUHR, and IR‐UHR images, respectively. While the FWHM was essentially the same for the FBP‐zUHR and IR‐UHR images, the FWTM of the IR‐UHR images was almost 50% smaller compared to the FBP‐zUHR images (0.83 vs 1.25 mm, respectively). Images of the anthropomorphic head phantom were judged to be of higher quality for the IR‐UHR images compared to the FBP‐zUHR images. Conclusions: With use of a z‐axis deconvolution technique, z‐axis spatial resolution was improved for scans acquired using a comb filter only in the fan angle direction relative to FBP images acquired with a comb filter in both the fan and cone angle directions. By avoiding use of the comb filter in the cone angle direction and use of an IR algorithm, image noise was substantially reduced for the same scanner output (CTDIvol). Thus, overall image quality (spatial resolution and image noise) can be maintained relative to the FBP‐zUHR technique at a lower radiation dose.
    Type of Medium: Online Resource
    ISSN: 0094-2405 , 2473-4209
    Language: English
    Publisher: Wiley
    Publication Date: 2013
    detail.hit.zdb_id: 1466421-5
    Library Location Call Number Volume/Issue/Year Availability
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