A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis: System design and safety considerations

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

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

3 Citations (Scopus)

Abstract

This paper presents a novel multimodal imaging system, which combines optical spectroscopy, ultrasonography and acoustic radiation force (ARF) for improving diagnosis of breast cancer based on noninvasive interrogation of vasculature. System design including both hardware and software is described in detail. Patient safety related considerations are also addressed in this paper. Calibrations and tests have been performed accordingly. Based on safety guidelines, the maximum exposure to skin for laser was controlled within 0.2 W·cm-2; exposure from ARF fields were maintained below the FDA diagnostic limit (0.72 W·cm-2), and electrical leakage was controlled below 300 μA. 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 publicationProceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010
Pages1386-1390
Number of pages5
Volume4
DOIs
StatePublished - Dec 1 2010
Event3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010 - Yantai, China
Duration: Oct 16 2010Oct 18 2010

Other

Other3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010
CountryChina
CityYantai
Period10/16/1010/18/10

Fingerprint

Near-Infrared Spectroscopy
Acoustics
Systems analysis
Spectroscopy
Breast Neoplasms
Safety
Radiation
Tumors
Spectrum Analysis
Multimodal Imaging
Ultrasonography
Patient Safety
Imaging systems
Calibration
Neoplasms
Skin
Lasers
Blood
Software
Guidelines

Keywords

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

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

Cite this

Yan, K., Huang, K., Podder, T., Yu, Y., & Liao, L. (2010). A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis: System design and safety considerations. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010 (Vol. 4, pp. 1386-1390). [5639396] https://doi.org/10.1109/BMEI.2010.5639396

A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis : System design and safety considerations. / Yan, Kaiguo; Huang, Ke; Podder, Tarun; Yu, Yan; Liao, Lydia.

Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 4 2010. p. 1386-1390 5639396.

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

Yan, K, Huang, K, Podder, T, Yu, Y & Liao, L 2010, A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis: System design and safety considerations. in Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. vol. 4, 5639396, pp. 1386-1390, 3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, Yantai, China, 10/16/10. https://doi.org/10.1109/BMEI.2010.5639396
Yan K, Huang K, Podder T, Yu Y, Liao L. A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis: System design and safety considerations. In Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 4. 2010. p. 1386-1390. 5639396 https://doi.org/10.1109/BMEI.2010.5639396
Yan, Kaiguo ; Huang, Ke ; Podder, Tarun ; Yu, Yan ; Liao, Lydia. / A multimodal sono-contrast NIR spectroscopy system for breast cancer diagnosis : System design and safety considerations. Proceedings - 2010 3rd International Conference on Biomedical Engineering and Informatics, BMEI 2010. Vol. 4 2010. pp. 1386-1390
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