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Computed tomography angiography: state-of-the-art imaging using multidetector-row technology.

Publication ,  Journal Article
Napoli, A; Fleischmann, D; Chan, FP; Catalano, C; Hellinger, JC; Passariello, R; Rubin, GD
Published in: J Comput Assist Tomogr
2004

Multidetector-row computed tomography (MDCT) is an essential diagnostic modality for many clinical algorithms. This is particularly true with regard to the evaluation of cardiovascular disease. As a result of increased image acquisition speed, improved spatial resolution, and greater scan volume, MDCT angiography (computed tomography angiography [CTA]) has become an excellent noninvasive imaging technique, replacing intra-arterial digital subtraction angiography for most vascular territories. The clinical success of CTA depends on precise synchronization of image acquisition with optimal vascular enhancement. As technology continuously evolves, however, this task can be challenging. It remains important to have a fundamental knowledge of the principles behind technical parameters and contrast medium administration. This article reviews these essential principles, followed by an overview of current clinical applications.

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Published In

J Comput Assist Tomogr

DOI

ISSN

0363-8715

Publication Date

2004

Volume

28 Suppl 1

Start / End Page

S32 / S45

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Time Factors
  • Technology, Radiologic
  • Nuclear Medicine & Medical Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Contrast Media
  • Cardiovascular Diseases
  • Angiography
  • 4603 Computer vision and multimedia computation
 

Citation

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Napoli, A., Fleischmann, D., Chan, F. P., Catalano, C., Hellinger, J. C., Passariello, R., & Rubin, G. D. (2004). Computed tomography angiography: state-of-the-art imaging using multidetector-row technology. J Comput Assist Tomogr, 28 Suppl 1, S32–S45. https://doi.org/10.1097/01.rct.0000120859.80935.10
Napoli, Alessandro, Dominik Fleischmann, Frandics P. Chan, Carlo Catalano, Jeffrey C. Hellinger, Roberto Passariello, and Geoffrey D. Rubin. “Computed tomography angiography: state-of-the-art imaging using multidetector-row technology.J Comput Assist Tomogr 28 Suppl 1 (2004): S32–45. https://doi.org/10.1097/01.rct.0000120859.80935.10.
Napoli A, Fleischmann D, Chan FP, Catalano C, Hellinger JC, Passariello R, et al. Computed tomography angiography: state-of-the-art imaging using multidetector-row technology. J Comput Assist Tomogr. 2004;28 Suppl 1:S32–45.
Napoli, Alessandro, et al. “Computed tomography angiography: state-of-the-art imaging using multidetector-row technology.J Comput Assist Tomogr, vol. 28 Suppl 1, 2004, pp. S32–45. Pubmed, doi:10.1097/01.rct.0000120859.80935.10.
Napoli A, Fleischmann D, Chan FP, Catalano C, Hellinger JC, Passariello R, Rubin GD. Computed tomography angiography: state-of-the-art imaging using multidetector-row technology. J Comput Assist Tomogr. 2004;28 Suppl 1:S32–S45.

Published In

J Comput Assist Tomogr

DOI

ISSN

0363-8715

Publication Date

2004

Volume

28 Suppl 1

Start / End Page

S32 / S45

Location

United States

Related Subject Headings

  • Tomography, X-Ray Computed
  • Time Factors
  • Technology, Radiologic
  • Nuclear Medicine & Medical Imaging
  • Image Processing, Computer-Assisted
  • Humans
  • Contrast Media
  • Cardiovascular Diseases
  • Angiography
  • 4603 Computer vision and multimedia computation