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Clinical Applications of 3D CT Imaging in Thoracic Pathology

  • M. Prokop

Abstract

Thoracic vascular imaging is moving away from catheter angiography towards non-invasive techniques, and in particular computed tomography angiography (CTA). The three-dimensional imaging capabilities of CT and its ease of use have been the main reason for this change. However, 3D imaging is not limited to the vascular system; it also has useful but underused applications in routine chest CT, high-resolution CT (HRCT), or trauma cases. This article will present the basic rules for data acquisition for 3D imaging in chest CT and CTA, briefly discuss the various techniques for exploring a 3D data set, and finally focus on clinical applications that can improve chest imaging in daily routine as well as in situations in which it is important to gain as much information as possible about the three-dimensional extent of the anatomy and pathology of interest.

Keywords

Compute Tomography Angiography Maximum Intensity Projection Volume Rendering Lung Cancer Screening Virtual Endoscopy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Suggested Reading

General

  1. Cody DD (2002) The AAPM/RSNA physics tutorial for residents-topics in CT: image processing. Radiographics 22:1255–1268PubMedGoogle Scholar
  2. Rubin GD, Napel S, Leung AN (1996) Volumetric analysis of volumetric data: achieving a paradigm shift. Radiology 200:312–317PubMedGoogle Scholar
  3. Shin HO, Stamm G (2002) Basic techniques of image processing in cross-sectional imaging [German]. Radiologie Up2date 2:283–303CrossRefGoogle Scholar

Multiplanar Reformations

  1. Chooi WK, Matthews S, Bull MJ et al (2003) Multislice helical CT: the value of multiplanar image reconstruction in assessment of the bronchi and small airways disease. Br J Radiol 76:536–540PubMedCrossRefGoogle Scholar
  2. Eibel R, Brüning R, Schöpf UJ et al (1999) Image analysis in multiplanar spiral CT of the lung with MPR and MIP reconstructions [German]. Der Radiologe 39:952–957PubMedCrossRefGoogle Scholar

Maximum Intensity Projection

  1. Bhalla M, Naidich DP, McGuinness G et al (1996) Diffuse lung disease: assessment with helical CT-preliminary observations of the role of maximum and minimum intensity projection images. Radiology 200:341–347PubMedGoogle Scholar
  2. Gruden JF, Ouanounou S, Tigges S et al (2002) Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. AJR Am J Roentgenol 179:149–157PubMedGoogle Scholar
  3. Napel S, Rubin GD, Jeffrey RB Jr (1993) STS-MIP: a new reconstruction technique for CT of the chest. J Comput Assist Tomogr 17:832–838PubMedCrossRefGoogle Scholar
  4. Remy-Jardin M, Remy J, Artaud D et al (1996) Diffuse infiltrative lung disease: clinical value of sliding-thin-slab maximum intensity projection CT scans in the detection of mild micronodular patterns. Radiology 200:333–340PubMedGoogle Scholar
  5. Valencia R, Denecke T, Lehmkuhl L et al (2006) Value of axial and coronal maximum intensity projection (MIP) images in the detection of pulmonary nodules by multislice spiral CT: comparison with axial 1-mm and 5-mm slices. Eur Radiol 16:325–332PubMedCrossRefGoogle Scholar

Minimum Intensity Projection

  1. Fotheringham T, Chabat F, Hansell DM et al (1999) A comparison of methods for enhancing the detection of areas of decreased attenuation on CT caused by airways disease. J Comput Assist Tomogr 23:385–389PubMedCrossRefGoogle Scholar
  2. Remy-Jardin M, Remy J, Gosselin B et al (1996) Sliding-thinslab minimum intensity projection technique in the diagnosis of emphysema: histopathologic-CT correlation. Radiology 200:665–672PubMedGoogle Scholar

Shaded Surface Display

  1. Addis KA, Hopper KD, Iyriboz TA et al (2001) Optimization of shaded surface display for CT angiography. Acad Radiol 8:976–981PubMedCrossRefGoogle Scholar

Volume Rendering

  1. Calhoun PS, Kuszyk BS, Heath DG et al (1999) Three-dimensional volume rendering of spiral CT data: theory and method. Radiographics 19:745–764PubMedGoogle Scholar
  2. Gluecker T, Lang F, Bessler S et al (2001) 2D and 3D CT imaging correlated to rigid endoscopy in complex laryngo-tracheal stenoses. Eur Radiol 11:50–54PubMedCrossRefGoogle Scholar
  3. Kuszyk BS, Heath DG, Bliss DF et al (1996) Skeletal 3-D CT: advantages of volume rendering over surface rendering. Skeletal Radiol 25:207–214PubMedCrossRefGoogle Scholar
  4. Shin HO, Galanski M (2002) Interactive direct volume rendering of CT-data: technical principle and applications [German]. RöFo Fortschr Röntgenstr 174:342–348CrossRefGoogle Scholar

Virtual Endoscopy

  1. Hopper KD, Lyriboz TA, Mahraj RPM et al (1998) CT bronchoscopy: optimization of imaging parameters. Radiology 209:872–877PubMedGoogle Scholar
  2. Rogers LF (1998) A day in the court of lexicon: virtual endoscopy. AJR Am J Roentgenol 171:1185PubMedGoogle Scholar

Copyright information

© Springer-Verlag Italia 2007

Authors and Affiliations

  • M. Prokop
    • 1
  1. 1.Department of RadiologyUniversity Medical CenterUtrechtThe Netherlands

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