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
CountryUnited 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. 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

  2. Autofocus Net: Auto-focused 3D CNN for Brain Tumour Segmentation.

    Stefani, A., Rahmat, R. & Harris-Birtill, D. C. C., 8 Jul 2020, In Annual Conference on Medical Image Understanding and Analysis: Part of the Communications in Computer and Information Science book series (CCIS). Springer, Vol. 1248. p. 43-55 13 p.

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

  3. Paying per-label attention for multi-label extraction from radiology reports

    Schrempf, P., Watson, H., Mikhael, S., Pajak, M., Falis, M., Lisowska, A., Muir, K. W., Harris-Birtill, D. & O'Neil, A. Q., 2020, Interpretable and Annotation-Efficient Learning for Medical Image Computing: Third International Workshop, iMIMIC 2020, Second International Workshop, MIL3iD 2020, and 5th International Workshop, LABELS 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, October 4–8, 2020, Proceedings. Cardoso, J., Van Nguyen, H., Heller, N., Henriques Abreu, P., Isgum, I., Silva, W., Cruz, R., Pereira Amorim, J., Patel, V., Roysam, B., Zhou, K., Jiang, S., Le, N., Luu, K., Sznitman, R., Cheplygina, V., Mateus, D., Trucco, E. & Abbasi, S. (eds.). Cham: Springer, p. 277-289 13 p. (Lecture Notes in Computer Science (including subseries Image Processing, Computer Vision, Pattern Recognition, and Graphics); vol. 12446 LNCS).

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

  4. Smart Homes for elderly to promote their health and wellbeing

    Pirzada, P., Wilde, A. G. & Harris-Birtill, D. C. C., 16 Sep 2019. 1 p.

    Research output: Contribution to conferencePosterpeer-review

  5. A comparison of level set models in image segmentation

    Rahmat, R. & Harris-Birtill, D., 6 Dec 2018, In: IET Image Processing. 12, 12, p. 2212-2221 11 p.

    Research output: Contribution to journalArticlepeer-review

ID: 250006428

Top