Skip to content

Research at St Andrews

Toward characterizing the size of microscopic optical absorbers using optoacoustic emission spectroscopy

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

DOI

Author(s)

A. G. Gertsch, N. L. Bush, D. C C Birtill, J. C. Bamber

School/Research organisations

Abstract

To assess the malignancy and progression of a tumour, parameters such as the size and number density of the microvessels are expected to be important. The optical absorption due to the blood that fills the microvessels can be visualised by optoacoustic imaging (OA). We have previously reported that increasing the inhomogeneity of absorption within a large absorbing volume produces evidence of reduced acoustic coherence which results in improved contrast and boundary detectability. Here we propose to take advantage of the expectation that the detailed nature of the inhomogeneity should influence the frequency spectrum of the OA signal. The overall aim of this work is to determine whether an analysis of the frequency spectrum of the emitted optoacoustic signal can be used to determine the scale of this absorption inhomogeneity, in particular parameters such as the characteristic size and separation of the absorbers (microvessels). In the preliminary study reported here, various gelatine-intralipid phantoms containing cylindrical wallless tubes filled with an ink solution were measured in water with a linear array ultrasound detector, using pulsedillumination that had been adjusted for an optimal distribution of light fluence with depth. Simulations of the experiments were also conducted, using a time domain acoustic propagation method. The results confirm that optoacoustic signals bear information on the sizes and distribution of the absorbers in their frequency spectra. It is shown that a simple way to determine the diameter of a single cylindrical absorber is to estimate the quefrency of the peak in the cepstrum of the measured signal. Further work is proposed to extend this to the statistical estimation of mean diameter and mean separation for an ensemble of similar absorbers and to absorbers with a diameter that is smaller than the axial resolution of the acoustic receiver.

Close

Details

Original languageEnglish
Title of host publicationPhotons Plus Ultrasound: Imaging and Sensing 2010
Volume7564
DOIs
Publication statusPublished - 2010
EventPhotons Plus Ultrasound: Imaging and Sensing 2010 - San Francisco, CA, United States
Duration: 24 Jan 201026 Jan 2010

Conference

ConferencePhotons Plus Ultrasound: Imaging and Sensing 2010
Country/TerritoryUnited States
CitySan Francisco, CA
Period24/01/1026/01/10

    Research areas

  • Absorber size, Optoacoustic emission spectroscopy, Optoacoustic imaging, Photoacoustics, Tissue characterisation

Discover related content
Find related publications, people, projects and more using interactive charts.

View graph of relations

Related by author

  1. Generative deep learning in digital pathology workflows

    Morrison, D., Harris-Birtill, D. & Caie, P. D., 1 Oct 2021, In: The American Journal of Pathology. 191, 10, p. 1717-1723 6 p.

    Research output: Contribution to journalReview articlepeer-review

  2. Ethics and acceptance of smart homes for older adults

    Pirzada, P., Wilde, A., Doherty, G. H. & Harris-Birtill, D., 9 Jul 2021, (E-pub ahead of print) In: Informatics for Health and Social Care. Latest Articles, 28 p.

    Research output: Contribution to journalReview articlepeer-review

  3. Radiomics-led monitoring of non-small cell lung cancer patients during radiotherapy

    Rahmat, R., Harris-Birtill, D., Finn, D., Feng, Y., Montgomery, D., Nailon, W. H. & McLaughlin, S., 6 Jul 2021, (E-pub ahead of print) Medical image understanding and analysis: 25th annual conference, MIUA 2021. Papież, B. W., Yaqub, M., Jiao, J., Namburete, A. I. L. & Noble, J. A. (eds.). Cham: Springer, p. 532–546 15 p. (Lecture notes in computer science; vol. 12722).

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

  4. Templated text synthesis for expert-guided multi-label extraction from radiology reports

    Schrempf, P., Watson, H., Park, E., Pajak, M., MacKinnon, H., Muir, K. W., Harris-Birtill, D. & O’Neil, A. Q., 24 Mar 2021, In: Machine Learning and Knowledge Extraction. 3, 2, p. 299-317 19 p.

    Research output: Contribution to journalArticlepeer-review

  5. Understanding computation time: a critical discussion of time as a computational performance metric

    Harris-Birtill, D. & Harris-Birtill, R., 3 Aug 2020, (Accepted/In press) Time in variance: the study of time. Parker, J., Harris, P. & Misztal, A. (eds.). Brill, Vol. 17. (The Study of Time).

    Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)peer-review

ID: 250006428

Top