DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS.

N. Hakim; J. J. Kaufman; M. A. Mont; R. Schmukler; W. J. Ohley; T. Lundahl; H. E. Meadows; T. Soifer; R. S. Siffert

DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS.

N. Hakim, J. J. Kaufman, M. A. Mont, R. Schmukler, W. J. Ohley, T. Lundahl, H. E. Meadows, T. Soifer, R. S. Siffert

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Digital image processing texture analysis methods are implemented to detect and quantify trabecular pattern changes for computer-assisted diagnosis of bone-loss diseases. Techniques are described for extracting certain textural features, namely, run length statistics, fractural dimension, and relative extrema density, from standard film radiographs of trabecular bone. Results of a study are given which suggest that these features can quantify changes that occur in a clinical disuse-osteoporosis model.

Original language	English
Title of host publication	Conference Record - Asilomar Conference on Circuits, Systems & Computers
Publisher	IEEE
Pages	631-634
Number of pages	4
ISBN (Print)	0818608161
State	Published - 1987
Externally published	Yes

Publication series

Name	Conference Record - Asilomar Conference on Circuits, Systems & Computers
ISSN (Print)	0736-5861

Cite this

Hakim, N., Kaufman, J. J., Mont, M. A., Schmukler, R., Ohley, W. J., Lundahl, T., Meadows, H. E., Soifer, T., & Siffert, R. S. (1987). DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS. In Conference Record - Asilomar Conference on Circuits, Systems & Computers (pp. 631-634). (Conference Record - Asilomar Conference on Circuits, Systems & Computers). IEEE.

@inproceedings{37325cf40a5644418aa2079d302d6d8c,

title = "DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS.",

abstract = "Digital image processing texture analysis methods are implemented to detect and quantify trabecular pattern changes for computer-assisted diagnosis of bone-loss diseases. Techniques are described for extracting certain textural features, namely, run length statistics, fractural dimension, and relative extrema density, from standard film radiographs of trabecular bone. Results of a study are given which suggest that these features can quantify changes that occur in a clinical disuse-osteoporosis model.",

author = "N. Hakim and Kaufman, {J. J.} and Mont, {M. A.} and R. Schmukler and Ohley, {W. J.} and T. Lundahl and Meadows, {H. E.} and T. Soifer and Siffert, {R. S.}",

year = "1987",

language = "English",

isbn = "0818608161",

series = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",

publisher = "IEEE",

pages = "631--634",

booktitle = "Conference Record - Asilomar Conference on Circuits, Systems & Computers",

}

DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS. / Hakim, N.; Kaufman, J. J.; Mont, M. A. et al.
Conference Record - Asilomar Conference on Circuits, Systems & Computers. IEEE, 1987. p. 631-634 (Conference Record - Asilomar Conference on Circuits, Systems & Computers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS.

AU - Hakim, N.

AU - Kaufman, J. J.

AU - Mont, M. A.

AU - Schmukler, R.

AU - Ohley, W. J.

AU - Lundahl, T.

AU - Meadows, H. E.

AU - Soifer, T.

AU - Siffert, R. S.

PY - 1987

Y1 - 1987

N2 - Digital image processing texture analysis methods are implemented to detect and quantify trabecular pattern changes for computer-assisted diagnosis of bone-loss diseases. Techniques are described for extracting certain textural features, namely, run length statistics, fractural dimension, and relative extrema density, from standard film radiographs of trabecular bone. Results of a study are given which suggest that these features can quantify changes that occur in a clinical disuse-osteoporosis model.

AB - Digital image processing texture analysis methods are implemented to detect and quantify trabecular pattern changes for computer-assisted diagnosis of bone-loss diseases. Techniques are described for extracting certain textural features, namely, run length statistics, fractural dimension, and relative extrema density, from standard film radiographs of trabecular bone. Results of a study are given which suggest that these features can quantify changes that occur in a clinical disuse-osteoporosis model.

UR - http://www.scopus.com/inward/record.url?scp=0023171838&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:0023171838

SN - 0818608161

T3 - Conference Record - Asilomar Conference on Circuits, Systems & Computers

SP - 631

EP - 634

BT - Conference Record - Asilomar Conference on Circuits, Systems & Computers

PB - IEEE

ER -

DIGITAL IMAGE PROCESSING APPROACH TO DIAGNOSIS OF OSTEOPOROSIS.

Abstract

Publication series

Fingerprint

Cite this