Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features

A. Sobhi-Afshar; N. Kehtarnavaz; M. Akins; K. Luby-Phelps; M. Mahendroo

doi:10.1109/ICASSP.2010.5495114

Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features

A. Sobhi-Afshar, N. Kehtarnavaz, M. Akins, K. Luby-Phelps, M. Mahendroo

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

3 Scopus citations

Abstract

This paper presents an image processing system for detecting mouse preterm labor using Second Harmonic Generation (SHG) microscopy images. Two classes of SHG images are considered: normal pregnant cervix and premature cervical remodeling induced by Mifepristone. Among the commonly used texture features in image processing, wavelet-based texture features together with previously utilized image features for SHG microscopy of artificial collagen gels are identified to form an effective set of features for distinguishing the two classes of images. The results obtained indicate that correct detection rates above 98% are achievable.

Original language	English (US)
Title of host publication	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	674-677
Number of pages	4
ISBN (Print)	9781424442966
DOIs	https://doi.org/10.1109/ICASSP.2010.5495114
State	Published - 2010
Event	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Dallas, TX, United States Duration: Mar 14 2010 → Mar 19 2010

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010
Country/Territory	United States
City	Dallas, TX
Period	3/14/10 → 3/19/10

Keywords

Image texture features
Preterm labor bio imaging application
Second harmonic generation imaging
Wavelet-based texture features

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2010.5495114

Cite this

Sobhi-Afshar, A., Kehtarnavaz, N., Akins, M., Luby-Phelps, K., & Mahendroo, M. (2010). Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. In 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings (pp. 674-677). Article 5495114 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2010.5495114

Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. / Sobhi-Afshar, A.; Kehtarnavaz, N.; Akins, M. et al.
2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2010. p. 674-677 5495114 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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

Sobhi-Afshar, A, Kehtarnavaz, N, Akins, M, Luby-Phelps, K & Mahendroo, M 2010, Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. in 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings., 5495114, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, Institute of Electrical and Electronics Engineers Inc., pp. 674-677, 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010, Dallas, TX, United States, 3/14/10. https://doi.org/10.1109/ICASSP.2010.5495114

Sobhi-Afshar A, Kehtarnavaz N, Akins M, Luby-Phelps K, Mahendroo M. Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. In 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2010. p. 674-677. 5495114. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2010.5495114

Sobhi-Afshar, A. ; Kehtarnavaz, N. ; Akins, M. et al. / Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features. 2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2010. pp. 674-677 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

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abstract = "This paper presents an image processing system for detecting mouse preterm labor using Second Harmonic Generation (SHG) microscopy images. Two classes of SHG images are considered: normal pregnant cervix and premature cervical remodeling induced by Mifepristone. Among the commonly used texture features in image processing, wavelet-based texture features together with previously utilized image features for SHG microscopy of artificial collagen gels are identified to form an effective set of features for distinguishing the two classes of images. The results obtained indicate that correct detection rates above 98% are achievable.",

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AB - This paper presents an image processing system for detecting mouse preterm labor using Second Harmonic Generation (SHG) microscopy images. Two classes of SHG images are considered: normal pregnant cervix and premature cervical remodeling induced by Mifepristone. Among the commonly used texture features in image processing, wavelet-based texture features together with previously utilized image features for SHG microscopy of artificial collagen gels are identified to form an effective set of features for distinguishing the two classes of images. The results obtained indicate that correct detection rates above 98% are achievable.

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Distinguishing second harmonic generation images of mouse preterm labor via wavelet-based texture features

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Keywords

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