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Fast estimation of haemoglobin concentration in tissue via wavelet decomposition

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Title: Fast estimation of haemoglobin concentration in tissue via wavelet decomposition
Authors: Jones, G
Clancy, NT
Du, X
Robu, M
Arridge, S
Elson, DS
Stoyanov, D
Item Type: Conference Paper
Abstract: Tissue oxygenation and perfusion can be an indicator for organ viability during minimally invasive surgery, for example allowing real-time assessment of tissue perfusion and oxygen saturation. Multispectral imaging is an optical modality that can inspect tissue perfusion in wide field images without contact. In this paper, we present a novel, fast method for using RGB images for MSI, which while limiting the spectral resolution of the modality allows normal laparoscopic systems to be used. We exploit the discrete Haar decomposition to separate individual video frames into low pass and directional coefficients and we utilise a different multispectral estimation technique on each. The increase in speed is achieved by using fast Tikhonov regularisation on the directional coefficients and more accurate Bayesian estimation on the low pass component. The pipeline is implemented using a graphics processing unit (GPU) architecture and achieves a frame rate of approximately 15 Hz. We validate the method on animal models and on human data captured using a da Vinci stereo laparoscope.
Issue Date: 4-Sep-2017
Date of Acceptance: 1-Sep-2017
URI: http://hdl.handle.net/10044/1/64286
DOI: https://dx.doi.org/10.1007/978-3-319-66185-8_12
ISBN: 9783319661841
ISSN: 0302-9743
Publisher: Springer
Start Page: 100
End Page: 108
Journal / Book Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume: 10434
Copyright Statement: © 2017 Springer International Publishing AG. The final publication is available at https://dx.doi.org/10.1007/978-3-319-66185-8_12
Sponsor/Funder: Commission of the European Communities
Funder's Grant Number: 242991
Conference Name: International Conference on Medical Image Computing and Computer-Assisted Intervention
Keywords: 08 Information And Computing Sciences
Artificial Intelligence & Image Processing
Publication Status: Published
Start Date: 2017-09-11
Finish Date: 2017-09-13
Conference Place: Quebec City, QC, Canada
Online Publication Date: 2017-09-04
Appears in Collections:Division of Surgery
Faculty of Medicine



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