Abstract

Photoacoustic spectroscopy, a hybrid of optics and acoustics has been gaining popularity in the biomedical field very fast. The main aim in the present study was to apply this technique to detect and distinguish breast tumor tissues from normal and hence develop a tool for clinical applications. There were 224 photoacoustic spectra recorded from 28 normal and 28 breast tumor tissues using PZT detector at 281nm pulsed laser excitations from Nd-YAG laser pumped frequency doubled dye laser system. The recorded time domain photoacoustic spectra were fast Fourier transformed into frequency domain patterns in the frequency region 0-1250kHz and from each pattern, 7 features (mean, median, mode, variance, standard deviation, area under the curve & spectral residual after fitting with 10th degree polynomial) were extracted using MATLAB algorithms. These features were then tested for their significance between normal and malignant conditions using Student T-test and two of them (variance, std. deviation) showing significant variation were selected for further discrimination analysis using supervised quadratic discriminate analysis (QDA). In QDA, 60 spectra from each of the normal and malignant were used for making the respective calibration sets and the remaining 52 spectra from each were used for the validation. The performance of the analysis tested for the frequency region 406.25 - 625.31 kHz, showed specificity and sensitivity values of 100% and 88.46% respectively suggesting possible application of the technique in breast tumor detection.

Original languageEnglish
Title of host publicationPhotonic Therapeutics and Diagnostics XI
PublisherSPIE
Volume9303
ISBN (Electronic)9781628413939
DOIs
Publication statusPublished - 2015
EventPhotonic Therapeutics and Diagnostics XI - San Francisco, United States
Duration: 07-02-201508-02-2015

Conference

ConferencePhotonic Therapeutics and Diagnostics XI
CountryUnited States
CitySan Francisco
Period07-02-1508-02-15

Fingerprint

Photoacoustic spectroscopy
photoacoustic spectroscopy
breast
Tumors
Spectrum Analysis
Photoacoustic effect
cancer
Breast Neoplasms
tumors
evaluation
Tissue
Dye Lasers
Laser excitation
Dye lasers
Solid-State Lasers
Pulsed lasers
Acoustics
Spectrum analysis
Calibration
MATLAB

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics
  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Radiology Nuclear Medicine and imaging

Cite this

Priya, M., Chandra, S., Rao, B. S. S., Ray, S., Shetty, P., Mathew, S., & Mahato, K. K. (2015). Photoacoustic spectroscopy based evaluation of breast cancer condition. In Photonic Therapeutics and Diagnostics XI (Vol. 9303). [93032L] SPIE. https://doi.org/10.1117/12.2079159
Priya, Mallika ; Chandra, Subhas ; Rao, Bola Sadashiva S. ; Ray, Satadru ; Shetty, Prashanth ; Mathew, Stanley ; Mahato, Krishna Kishore. / Photoacoustic spectroscopy based evaluation of breast cancer condition. Photonic Therapeutics and Diagnostics XI. Vol. 9303 SPIE, 2015.
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title = "Photoacoustic spectroscopy based evaluation of breast cancer condition",
abstract = "Photoacoustic spectroscopy, a hybrid of optics and acoustics has been gaining popularity in the biomedical field very fast. The main aim in the present study was to apply this technique to detect and distinguish breast tumor tissues from normal and hence develop a tool for clinical applications. There were 224 photoacoustic spectra recorded from 28 normal and 28 breast tumor tissues using PZT detector at 281nm pulsed laser excitations from Nd-YAG laser pumped frequency doubled dye laser system. The recorded time domain photoacoustic spectra were fast Fourier transformed into frequency domain patterns in the frequency region 0-1250kHz and from each pattern, 7 features (mean, median, mode, variance, standard deviation, area under the curve & spectral residual after fitting with 10th degree polynomial) were extracted using MATLAB algorithms. These features were then tested for their significance between normal and malignant conditions using Student T-test and two of them (variance, std. deviation) showing significant variation were selected for further discrimination analysis using supervised quadratic discriminate analysis (QDA). In QDA, 60 spectra from each of the normal and malignant were used for making the respective calibration sets and the remaining 52 spectra from each were used for the validation. The performance of the analysis tested for the frequency region 406.25 - 625.31 kHz, showed specificity and sensitivity values of 100{\%} and 88.46{\%} respectively suggesting possible application of the technique in breast tumor detection.",
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Priya, M, Chandra, S, Rao, BSS, Ray, S, Shetty, P, Mathew, S & Mahato, KK 2015, Photoacoustic spectroscopy based evaluation of breast cancer condition. in Photonic Therapeutics and Diagnostics XI. vol. 9303, 93032L, SPIE, Photonic Therapeutics and Diagnostics XI, San Francisco, United States, 07-02-15. https://doi.org/10.1117/12.2079159

Photoacoustic spectroscopy based evaluation of breast cancer condition. / Priya, Mallika; Chandra, Subhas; Rao, Bola Sadashiva S.; Ray, Satadru; Shetty, Prashanth; Mathew, Stanley; Mahato, Krishna Kishore.

Photonic Therapeutics and Diagnostics XI. Vol. 9303 SPIE, 2015. 93032L.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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T1 - Photoacoustic spectroscopy based evaluation of breast cancer condition

AU - Priya, Mallika

AU - Chandra, Subhas

AU - Rao, Bola Sadashiva S.

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AU - Shetty, Prashanth

AU - Mathew, Stanley

AU - Mahato, Krishna Kishore

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AB - Photoacoustic spectroscopy, a hybrid of optics and acoustics has been gaining popularity in the biomedical field very fast. The main aim in the present study was to apply this technique to detect and distinguish breast tumor tissues from normal and hence develop a tool for clinical applications. There were 224 photoacoustic spectra recorded from 28 normal and 28 breast tumor tissues using PZT detector at 281nm pulsed laser excitations from Nd-YAG laser pumped frequency doubled dye laser system. The recorded time domain photoacoustic spectra were fast Fourier transformed into frequency domain patterns in the frequency region 0-1250kHz and from each pattern, 7 features (mean, median, mode, variance, standard deviation, area under the curve & spectral residual after fitting with 10th degree polynomial) were extracted using MATLAB algorithms. These features were then tested for their significance between normal and malignant conditions using Student T-test and two of them (variance, std. deviation) showing significant variation were selected for further discrimination analysis using supervised quadratic discriminate analysis (QDA). In QDA, 60 spectra from each of the normal and malignant were used for making the respective calibration sets and the remaining 52 spectra from each were used for the validation. The performance of the analysis tested for the frequency region 406.25 - 625.31 kHz, showed specificity and sensitivity values of 100% and 88.46% respectively suggesting possible application of the technique in breast tumor detection.

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Priya M, Chandra S, Rao BSS, Ray S, Shetty P, Mathew S et al. Photoacoustic spectroscopy based evaluation of breast cancer condition. In Photonic Therapeutics and Diagnostics XI. Vol. 9303. SPIE. 2015. 93032L https://doi.org/10.1117/12.2079159