Skip to main content
Journal of Digital Imaging logoLink to Journal of Digital Imaging
. 1998 Nov;11(4):159–167. doi: 10.1007/BF03178078

Angiographic film substraction using a laser digitizer and computer processing

John M Boone 1, Neva M Corrigan 1, Stephen T Hecht 1, Daniel P Link 1
PMCID: PMC3453154  PMID: 9848048

Abstract

Digital subtraction angiography has been accepted as an invaluable clinical tool over the past decade; however, film-screen-based angiography is still performed routinely when high-resolution or large field-of-view angiograms are needed. A technique is presented whereby two films from an angiographic sequence are digitized using a high-resolution laser digitizer, and the digitized images are aligned, subtracted, and displayed using the computer. To accommodate for some types of patient motion, an image warping algorithm is presented and discussed in detail. The warping algorithm is piecewise linear, using triangular regions for warping, resulting in a global nonlinear transform across triangle elements. An algorithm describing optimal triangle selection also is discussed. The results show that subtraction images of excellent quality can be produced by the proposed technique, and suggest that, in some settings, digitized subtraction films may be preferred over conventional film subtraction.

Key Words: angiography, film subtraction, warping algorithm, digital image processing, image registration

Full Text

The Full Text of this article is available as a PDF (958.0 KB).

Footnotes

This research was supported in part by grant DAMD17-94-J-4424 from the United States Army Breast Cancer Research Program (the warping algorithm was developed for that project), and by a gift from the Lumisys Corporation. The general concepts behind the warping algorithm were originally conveyed to the authors in past collaborations with Dr William A. Barrett, currently at Brigham Young University. The authors acknowledge his previous contribution.

References

  • 1.Boone JM, Seibert JA, Barrett WA, et al. Analysis and correction of imperfections in the image intensifier-TV-digitizer imaging chain. Med Phys. 1991;18:236–242. doi: 10.1118/1.596718. [DOI] [PubMed] [Google Scholar]
  • 2.Kofler JM, Gray JE, Cesar LJ. Use of personal computers and digitized film angiograms to produce subtraction angiograms. Radiographics. 1996;16:401–407. doi: 10.1148/radiographics.16.2.8966296. [DOI] [PubMed] [Google Scholar]
  • 3.Gillespy T, Rowberg AH. Displaying radiologic images on personal computers: Image processing and analysis. J Digit Imaging. 1994;7:51–60. doi: 10.1007/BF03168422. [DOI] [PubMed] [Google Scholar]
  • 4.Spencer T, Olson JA, McHardy KC, et al. An image-processing strategy for the segmentation and quantification of microaneurysms in fluorescein angiograms of the ocular fundus. Comput Biomed Res. 1996;29:284–302. doi: 10.1006/cbmr.1996.0021. [DOI] [PubMed] [Google Scholar]
  • 5.Zwet PM, Meyer DJ, Reiber JH. Automated and accurate assessment of the distribution, magnitude, and direction of pincushion distortion in angiographic images. Invest Radiol. 1995;30:204–213. doi: 10.1097/00004424-199504000-00002. [DOI] [PubMed] [Google Scholar]
  • 6.Uyama C, Kita Y, Matsusita S. Optimal sampling interval and edge detection algorithm for measurement of blood vessel diameter on a cineangiogram. Invest Radiol. 1993;28:1128–1133. doi: 10.1097/00004424-199312000-00008. [DOI] [PubMed] [Google Scholar]
  • 7.Schad LR, Ehricke HH, Wowra B, et al. Correction of spatial distortion in magnetic resonance angiography for radiosurgical treatment planning of cerebral arteriovenous malformations. Magn Reson Imaging. 1992;10:609–621. doi: 10.1016/0730-725X(92)90012-O. [DOI] [PubMed] [Google Scholar]
  • 8.Pellot C, Herment A, Sigelle M, et al. Segmentation, modelling and reconstruction of arterial bifurcations in digital angiography. Med Biol Eng Comput. 1992;30:576–583. doi: 10.1007/BF02446788. [DOI] [PubMed] [Google Scholar]
  • 9.Close RA, Duckwiler GR, Vinuela F. Fluid equations applied to blood flow measurement using digital videodensitometry. Invest Radiol. 1992;27:504–509. doi: 10.1097/00004424-199207000-00004. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Digital Imaging are provided here courtesy of Springer

RESOURCES