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3D and Workflow: Vrt Volume Rendering Imaging Pearls - Educational Tools | CT Scanning | CT Imaging | CT Scan Protocols - CTisus
Imaging Pearls ❯ 3D and Workflow ❯ VRT Volume Rendering

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  • “Image reviewers were relatively poor at even side-by-side matching of patient photographs with 3D surface-reconstructed images. This finding suggests that successful identification of patients using surface-rendered faces may be a relatively difficult task for observers.”
    Implications of surface-rendered facial CT images in patient privacy.
    Chen JJ et al.
    AJR Am J Roentgenol. 2014 Jun;202(6):1267-71. 
  • “The overall accuracy among the image observers was approximately 61%. No significant differences were found with regard to sex, age, or ethnicity and accuracy of image observers.”
    Implications of surface-rendered facial CT images in patient privacy.
    Chen JJ et al.
    AJR Am J Roentgenol. 2014 Jun;202(6):1267-71.
  • “ Image reviewers were relatively poor at even side-by-side matching of patient photographs with 3D surface-reconstructed images. This finding suggests that successful identification of patients using surface-rendered faces may be a relatively difficult task for observers.”
    Implications of surface-rendered facial CT images in patient privacy.
    Chen JJ et al.
    AJR. 2014 Jun;202(6):1267-71
  • “Three-dimensional and multiplanar reconstruction of CT images has become routine in diagnostic imaging. The technology also facilitates surface reconstruction, in which facial features and, as a result, patient identity may be recognized, leading to risk of violations of patient privacy rights. The purpose of this study was to assess whether volunteer viewers can recognize faces on 3D reconstructed images as specific patients.”
    Implications of surface-rendered facial CT images in patient privacy.
    Chen JJ et al.
    AJR. 2014 Jun;202(6):1267-71
  • “ Axial,multiplanar and 3D volume rendered images serve equally well as methods for assessing the side of the aorta to diagnose anomalies. For evaluation of coarctation and patent ductus arteriosus, multiplanar and 3D volume-rendered images perform slightly better tha axial images.”

    MDCT Evaluation of Thoracic Aortic Anomalies in Pediatric Patients and Young Adults:  Comparison of Axial, Multiplanar and 3D Images
    Lee EY, Siegel MJ et al.
    AJR 2004; 182:777-784
  • “ Axial,multiplanar and 3D volume rendered images serve equally well as methods for assessing the side of the aorta to diagnose anomalies. For evaluation of coarctation and patent ductus arteriosus, multiplanar and 3D volume-rendered images perform slightly better tha axial images.”
    MDCT Evaluation of Thoracic Aortic Anomalies in Pediatric Patients and Young Adults:  Comparison of Axial, Multiplanar and 3D Images
    Lee EY, Siegel MJ et al.
    AJR 2004; 182:777-784
  • “ MPR (Multiplanar Reformation) is an image processing technique, which extracts two-dimensional (2D) slices from a 3D volume using arbitrarily positioned orthogonal or oblique planes.”
    Volume Visualization: A Technical Overview with a Focus on Medical Applications
    Zhang Qi et al
    J Digital Imaging Vol 24, No 4 (August), 2011: pp 640-664
  • “ Volumetric medical image rendering is a method of extracting meaningful information from a three-dimensional (3D) dataset, allowing disease processes and anatomy to be better understood, both by radiologists as well as physicians and surgeons.”
    Volume Visualization: A Technical Overview with a Focus on Medical Applications
    Zhang Qi et al
    J Digital Imaging Vol 24, No 4 (August), 2011: pp 640-664
  • "Volumetric rendering differs from surface rendering in that all the information from the CT scans is preserved, not just surface boundaries. Object thickness and internal contours can be seen in the 3D projection."

    Volumetric Rendering Technique: Applications for Three-dimensional Imaging of the Hip
    Fishman EK, Drebin RA, Ney DR et al.
  • "Volumetric rendering is a new approach to three-dimensional (3D) imaging that overcomes many of the drawbacks of currently available surface rendering systems."

    Volumetric Rendering Technique: Applications for Three-dimensional Imaging of the Hip
    Fishman EK, Drebin RA, Ney DR et al.
  • "Of the many steps involved in producing high quality three-dimensional images of CT data, the data acquisition step is of greatest consequence."

    Three-Dimensional Volumetric Display of CT Data: Effect of Scan Parameters upon Image Quality
    Ney DR et al
    J Comput Assist Tomogr 15(5):875-885
  • "The development of innovative and compatible software packages to meet clinical needs and solve important imaging problems will require the continued interaction of a number of disciplines, both within and outside of medicine."

    Three-Dimensional Imaging: State of the Art
    Fishman EK et al.
    Radiology 1991;181:321-337
  • "As radiology enters the 1990’s we predict that one of the major achievements of this decade will be the widespread diffusion of the technology of computed image processing into the medical community."

    Three-Dimensional Imaging: State of the Art
    Fishman EK et al.
    Radiology 1991;181:321-337
  • "3D imaging is becoming a valuable tool for both diagnostic and therapeutic display of digital information."

    Three-Dimensional Imaging: State of the Art
    Fishman EK et al.
    Radiology 1991;181:321-337
  • "The image quality of coronal multiplanar reconstructions from isotrophic voxel data obtained using 0.5 mm collimation, with or without overlapping reconstructions, is similar to that of direct coronal thin section CT scans."

    Comparison of Quality of Multiplanar Reconstructions and Direct Coronal Multidetector CT Scans of the Lung
    Honda O et al.
    AJR 2002; 179:875-879
  • Geometric Surface Modeling

    - Premise: imput medical data can be represented by a collection of geometrically defined surfaces
    - Problem or Reality: since medical data does not have true geometric surfaces, modeling techniques approximate the anatomy present, and the result is a simplified but incorrrect image

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