Skip to main content

3D Workstations: Basic Principles and Pitfalls

  • Chapter
MDCT and 3D Workstations
  • 618 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 119.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Selected Readings

  1. Addis KA, Hopper KD, Lyriboz TA, et al. CT angiography: in vitro comparison of five reconstruction methods. Am J Roentgenol 2001; 177:1771–1776.

    Google Scholar 

  2. Batra P, Bigoni B, Manning J, et al. Pitfalls in the diagnosis of thoracic aortic dissection at CT angiography. Radiographics 2000;20:309–320.

    PubMed  CAS  Google Scholar 

  3. Beaulieu CF, Jeffrey RB Jr, Karadi C, Paik DS, Napel S. Display modes for CT colonography. II. Blinded comparison of axial CT and virtual endoscopic and panoramic endoscopic volume-rendered studies. Radiology 1999;212:203–212.

    PubMed  CAS  Google Scholar 

  4. Black MJ, Sapiro G, Marimont DH, et al. Robust anisotropic diffusion. IEEE Trans Image Process 1998;7(3):421–432.

    Article  Google Scholar 

  5. Choi HS, Choi BW, Choe KO, et al. Pitfalls, artifacts, and remedies in multidetector row CT coronary angiography. Radiographics 2004;24:787–800.

    PubMed  Google Scholar 

  6. Desser TS, Sommer FG, Jeffrey RB Jr. Value of curved planar reformations in MDCT of abdominal pathology. Am J Roentgenol 2004 June;182(6):1477–1484.

    Google Scholar 

  7. Farag AA, Hassan H, Falk R, et al. 3D volume segmentation of MRA data sets using level sets: image processing and display. Acad Radiol 2004; 11:419–435.

    Article  PubMed  Google Scholar 

  8. Gonzalez RC, Woods RE. Digital Image Processing. 2nd ed. Boston, MA: Addison-Wesley; 2002.

    Google Scholar 

  9. Kirchgeorg MA, Prokop M. Increasing spiral CT benefits with postprocessing applications. Eur J Radiol 1998;28:39–54.

    Article  PubMed  CAS  Google Scholar 

  10. Napel S, Marks MP, Rubin GD, et al. CT angiography with spiral CT and maximum intensity projection. Radiology 1992;185:607–610.

    PubMed  CAS  Google Scholar 

  11. Nino-Murcia M, Jeffrey RB Jr, Beaulieu CF, Li KC, Rubin GD. Multidetector CT of the pancreas and bile duct system: value of curved planar reformations. Am J Roentgenol 2001;176:689–693.

    CAS  Google Scholar 

  12. Prokop M, Shin HO, Schanz A, Schaefer-Prokop CM. Use of maximum intensity projections in CT angiography: a basic review. Radiographics 1997;17:433–451.

    PubMed  CAS  Google Scholar 

  13. Raman R, Napel S, Rubin GD. Curved-slab maximum intensity projection: method and evaluation. Radiology 2003Oct;229(1):255–260.

    PubMed  Google Scholar 

  14. Raman R, Napel S, Beaulieu CF, Bain ES, Jeffrey RB Jr, Rubin GD. Automated generation of curved planar reformations from volume data: method and evaluation. Radiology 2002;223:275–280.

    PubMed  Google Scholar 

  15. Robb RA. Biomedical Imaging, Visualization, and Analysis. New York, NY: Wiley-Liss; 1999.

    Google Scholar 

  16. Roos JE, Willmann JK, Weishaupt D, et al. Thoracic aorta: motion artifact reduction with retrospective and prospective electrocardiography assisted multi-detector row CT. Radiology 2002;222:271–277.

    PubMed  Google Scholar 

  17. Rubin GD, Dake MD, Napel S, et al. Spiral CT of renal artery stenosis: comparison of three-dimensional rendering techniques. Radiology 1994;190:181–189.

    PubMed  CAS  Google Scholar 

  18. Schreiner S, Paschal CB, Galloway RL. Comparison of projection algorithms used for the construction of maximum intensity projection images. J Comput Assist Tomogr 1996;20:56–67.

    Article  PubMed  CAS  Google Scholar 

  19. Sommer FG, Jeffrey RB Jr, Rubin GD, et al. Detection of ureteral calculi in patients with suspected renal colic: value of reformatted noncontrast helical CT. Am J Roentgenol 1995;165:509–513.

    CAS  Google Scholar 

  20. Sonka M, Hlavac V, Boyle R. Image Processing, Analysis and Machine Vision. 2nd ed. Pacific Grove, CA: Brooks/Cole Publishing Co; 1999.

    Google Scholar 

  21. Suri JS, Setarehdan SK, Singh S. Advanced Algorithmic Approaches to Medical Image Segmentation: State Of The Art Applications in Cardiology, Neurology, Mammography and Pathology. New York, NY: Springer-Verlag; 2002.

    Google Scholar 

  22. Udupa JK. Three-dimensional visualization and analysis methodologies: a current perspective. Radiographics 1999;19:783–806.

    PubMed  CAS  Google Scholar 

  23. van Bemmel CM, Viergever MA, Niessen WJ. Semiautomatic segmentation and stenosis quantification of 3D contrast-enhanced MR angiograms of the internal carotid artery. Magn Reson Med 2004;51:753–760.

    Article  PubMed  Google Scholar 

  24. van Ooijen PM, Ho KY, Dorgelo J, Oudkerk M. Coronary artery imaging with multidetector CT: visualization issues. Radiographics 2003 Nov–Dec;23(6):e16.

    PubMed  Google Scholar 

  25. Vos FM, van Gelder RE, Serlie IWO, et al. Three-dimensional display modes for CT colonography: conventional 3D virtual colonoscopy versus unfolded cube projection. Radiology 2003;228:878–885.

    PubMed  Google Scholar 

  26. Whitaker RT, Breen DE, Museth K, et al. A Framework for Level Set Segmentation of Volume Datasets. Proceedings of the International Workshop on Volume Graphics. 159–168, 2001.

    Google Scholar 

Download references

Rights and permissions

Reprints and permissions

Copyright information

© 2006 Springer Science+Business Media, Inc.

About this chapter

Cite this chapter

(2006). 3D Workstations: Basic Principles and Pitfalls. In: MDCT and 3D Workstations. Springer, New York, NY. https://doi.org/10.1007/0-387-31804-6_5

Download citation

  • DOI: https://doi.org/10.1007/0-387-31804-6_5

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-0-387-25679-5

  • Online ISBN: 978-0-387-31804-2

  • eBook Packages: MedicineMedicine (R0)

Publish with us

Policies and ethics