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An edge detection algorithm for use in radionuclide imaging


A method is described whereby the edges of computerised radionuclide images can be located by the application of an edge detection algorithm. Results obtained using computer simulated phantoms and radioactive distributions demonstrate the potential accuracy of incorporating such an algorithm into clinical studies.

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  1. Bell MR (1976) One- and two-dimensional least squares smoothing and edge-sharpening method for image processing. Oak Ridge National Laboratory, Tenn (USA) January 1976 ORNL-TM-5222

  2. Bell PR, Dillon RS (1977) The use of computers in nuclear medicine. IEEE Trans Nucl Sci 24:15–19

  3. Berman DS, Salel AF, De Nardo GL, Bognen HG, Mason DT (1975) Clinical assessment of left ventricular regional contraction patterns and ejection fraction by high-resolution gated scintigraphy. J Nucl Med 16:856–874

  4. Cahill P, Ho L, Ornstein E, Becker DV (1977) Operator independent edge detection algorithms in nuclear medicine. J Nucl Med 18:607

  5. Cahill PT, Ornstein E, Ho SL (1976) Edge detection algorithms in nuclear medicine. IEEE Trans Nucl Sci 23:555–559

  6. Groch MW, Lewis GK, Murphy PH, De Puey EG, Burdine JA (1978) Radionuclide kymography for the assessment of regional myocardial wall motion. J Nucl Med 19:1131–1137

  7. Itti R, Maublant J, Planiol T (1978) Time-motion display of dynamic radioisotope cardiac blood pool images. Int J Nucl Med Biol 5:97–100

  8. Jones JP, Price RR, Rollo FD (1979) A simple edge-finding algorithm for gated cardiac images. J Nucl Med 20:643

  9. O'Connor JL, Kronenberg MW, Higgins SB, Peterson RW, Rhea TC (1979) A new method for count-based border definition which emulates visual function — application to radionuclide ventriculography. J Nucl Med 20:643–644

  10. Pavel DG, Zimmer AM, Patterson VN (1977) In vivo labelling of red blood cells with 99mTc: a new approach to blood pool visualisation. J Nucl Med 18:305–308

  11. Pizer SM, Todd-Pokropek AE (1978) Improvement of scintigrams by computer processing. Semin Nucl Med 8:125–145

  12. Pizer SM, Nachman Lee R (1979) Methods and limitations of edge detection for noisy images. Person Communication

  13. Schad N, Nickel O (1978) Radionuclide angiography of the heart in coronary heart disease: where do we stand? Cardiovasc Radiol 1:27–35

  14. Sobel I (1973) In: Duda RO and Hart PE (eds) Pattern classification and scene analysis. J Wiley & Sons, Inc, Chichester, p 271

  15. Thrall JH, Freitas JE, Swanson D, Rogers WL, Clare JM, Brown ML, Pitt B (1978) Clinical comparison of cardiac blood pool visualisation with Technetium — 99m human serum albumin. J Nucl Med 19:796–803

  16. Todd-Pokropek AE (1979) Data processing. World Federation of Nuclear Medicine and Biology: Second International Congress. (Potter DC (ed)) DHSS, STB/1/79, 10 January, 1979

  17. Wilkins K, Reese L (1979) Myocardial scans and wall motion studies using Tc—99m pyrophosphate in suspected acute myocardial infarctions. J Nucl Med Technol 7:25–28

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Correspondence to Peter C. Jackson.

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Jackson, P.C., Wilde, P., Watt, I. et al. An edge detection algorithm for use in radionuclide imaging. Eur J Nucl Med 6, 33–38 (1981). https://doi.org/10.1007/BF00257070

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  • Public Health
  • Clinical Study
  • Radionuclide
  • Nuclear Medicine
  • Detection Algorithm