A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis

Kaiguo Yan, Tarun Podder, Ke Huang, Yan Yu, Lydia Liao

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

2 Citations (Scopus)

Abstract

We have developed a multimodal imaging system that combines three modalities, optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. This paper presents a detailed system design. The safety issues regarding the use of laser and ultrasound have also been addressed in this paper. The maximum exposure to skin for laser was controlled within 0.2 W·cm-2 (ANSI Z136.1); exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W·cm-2). This multimodal system has the potential to improve tumor detection by deploying ARF to produce a measurable difference in the dynamic behavior of the tissue blood supply environment as interrogated by optical spectroscopy, which was demonstrated to be highly diagnostic in a murine tumor model. Pilot clinical study is being carried out.

Original languageEnglish (US)
Title of host publication10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010
Pages285-286
Number of pages2
DOIs
StatePublished - Sep 6 2010
Event10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010 - Philadelphia, PA, United States
Duration: May 31 2010Jun 3 2010

Publication series

Name10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010

Other

Other10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010
CountryUnited States
CityPhiladelphia, PA
Period5/31/106/3/10

Fingerprint

Near-Infrared Spectroscopy
Acoustics
Spectroscopy
Breast Neoplasms
Radiation
Tumors
Spectrum Analysis
Lasers
Multimodal Imaging
Ultrasonography
Imaging systems
Neoplasms
Skin
Blood
Ultrasonics
Systems analysis
Tissue
Safety
Optical spectroscopy

Keywords

  • ARF
  • Breast cancer
  • Multimodal imaging system
  • Optical spectroscopy

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics

Cite this

Yan, K., Podder, T., Huang, K., Yu, Y., & Liao, L. (2010). A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010 (pp. 285-286). [5521674] (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). https://doi.org/10.1109/BIBE.2010.55

A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis. / Yan, Kaiguo; Podder, Tarun; Huang, Ke; Yu, Yan; Liao, Lydia.

10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. p. 285-286 5521674 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).

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

Yan, K, Podder, T, Huang, K, Yu, Y & Liao, L 2010, A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis. in 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010., 5521674, 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010, pp. 285-286, 10th IEEE International Conference on Bioinformatics and Bioengineering, BIBE-2010, Philadelphia, PA, United States, 5/31/10. https://doi.org/10.1109/BIBE.2010.55
Yan K, Podder T, Huang K, Yu Y, Liao L. A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis. In 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. p. 285-286. 5521674. (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010). https://doi.org/10.1109/BIBE.2010.55
Yan, Kaiguo ; Podder, Tarun ; Huang, Ke ; Yu, Yan ; Liao, Lydia. / A noninvasive multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis. 10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010. 2010. pp. 285-286 (10th IEEE International Conference on Bioinformatics and Bioengineering 2010, BIBE 2010).
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