Three-dimensional volume rendering of multidetector-row CT data: applicable for emergency radiology
Introduction
The advent of multidetector-row computed tomography (MD-CT), representing a fundamental step from a cross-sectional towards a true three-dimensional imaging modality, not only dramatically creates new opportunities but also requires changes in radiological viewing methods and data handling [1], [2], [3].
On the one hand the reduction of the collimated slice thickness, beside other significant benefits, realizes the isotropic voxel, which is the prerequisite for sophisticated three-dimensional visualization. But on the other hand the same technical innovation mentioned above is responsible for a true data explosion, thus having two major consequences: first, the isotropy of the acquired volume data enables three-dimensional visualization without the need for overwhelming further interpolation steps and, therefore, reducing erroneous interpretation of the original volume data-set. Secondly, somewhat makes conventional image interpretation slice by slice more and more difficult, as there are simply to many single images to deal with, even on state of the art computer workstations. Therefore, exact and predicative postprocessing applications are increasingly required [4].
Volume rendering of multidetector-row CT data may overcome these problems, aiming to volume reporting, thus overcoming the historical precedent to interpret volumetric CT data using planar reconstructions.
The following paragraphs will give a brief survey on technical fundamentals and current applications with a focus on emergency room usability.
Section snippets
Technical background
Johann Radon's fundamental work on line integrals not only is the cornerstone of CT, but also of virtual environments in general. Radon could demonstrate that the image of a three-dimensional object can be reconstructed from an infinite number of two-dimensional projections of this object, taken from different directions, i.e. Radon transform [5].
The idea of three-dimensional display of CT-data is not much older then CT itself. Basic work on this topic was performed by Gabor Herman and
Applications
As the first radiograph ever taken was from the musculoskeletal system, three-dimensional display of CT data from the musculoskeletal system was among the first three-dimensional visualizations, mainly to define or exclude a fracture that is equivocal on plain films and to determine the extent of a previously diagnosed fracture in order to provide guidance for therapy [21]. Due to high contrast interface between bone and adjacent tissues the musculoskeletal system is predestinate for more or
Conclusion
Three-dimensional volume rendered visualization of multidetector-row CT volume data sets produces much more then only impressive images. Volume rendering is a comprehensive contribution to standard axial and orthogonal reconstructed images, in some specific applications even more. Challenged by the data explosion evolving from multidetector-row CT, alternative visualization and analysis using volumetric tools, including 3D visualization must evolve from luxury to necessity [2]. This requires
References (37)
General principles of MDCT
Eur. J. Radiol.
(2003)3-D imaging with MDCT
Eur. J. Radiol.
(2003)- et al.
Technical advances in multi-slice spiral CT
Eur. J. Radiol.
(2000) - et al.
Increasing spiral CT benefits with postprocessing applications
Eur. J. Radiol.
(1998) Multislice CT angiography
Eur. J. Radiol.
(2000)- et al.
Subsecond multi-slice computed tomography: basics and applications
Eur. J. Radiol.
(1999) - et al.
Medical volume exploration: gaining insights virtually
Eur. J. Radiol.
(2000) - et al.
Diagnostic performance of CT, MPR and 3DCT imaging in maxillofacial trauma
Comput. Med. Imaging Graph.
(1995) Über die Bestimmung von Funktionen durch ihre Integralwerte längs gewisser Mannigfaltigkeiten
Ber. Verh. Sächs. Akad. Wiss. Math. Phys.
(1917)- et al.
Display of three-dimensional information in computed tomography
J. Comput. Assisted Tomogr.
(1977)
Display of surfaces from volume data
IEEE Comput. Graph. Appl.
Volume rendering
Comput. Graph.
Multi-detector row CT of thoracic disease with emphasis on 3D volume rendering and CT angiography
Radiographics
Grundregeln der Datenakquisition und Datennachverarbeitung für die Erstellung hochwertiger virtueller Modelle
Radiologe
Spiral interpolation algorithm for multislice spiral CT—Part I: theory
IEEE. Trans. Med. Imaging
Four multidetector-row helical CT: image quality and volume coverage speed
Radiology
Moderne CT-Diagnostik des akuten Thorax- und Abdominaltraumas
Anaesthesist
Strukturierte radiologische Diagnostik beim Polytrauma
Radiologe
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