Accessible Unlicensed Requires Authentication Published by De Gruyter June 1, 2013

Quantitative fluorescence angiography for neurosurgical interventions

Claudia Weichelt, Philipp Duscha, Ralf Steinmeier, Tobias Meyer, Julia Kuß, Peter Cimalla, Matthias Kirsch, Stephan B. Sobottka, Edmund Koch, Gabriele Schackert and Ute Morgenstern

Abstract

Present methods for quantitative measurement of cerebral perfusion during neurosurgical operations require additional technology for measurement, data acquisition, and processing. This study used conventional fluorescence video angiography – as an established method to visualize blood flow in brain vessels – enhanced by a quantifying perfusion software tool. For these purposes, the fluorescence dye indocyanine green is given intravenously, and after activation by a near-infrared light source the fluorescence signal is recorded. Video data are analyzed by software algorithms to allow quantification of the blood flow. Additionally, perfusion is measured intraoperatively by a reference system. Furthermore, comparing reference measurements using a flow phantom were performed to verify the quantitative blood flow results of the software and to validate the software algorithm. Analysis of intraoperative video data provides characteristic biological parameters. These parameters were implemented in the special flow phantom for experimental validation of the developed software algorithms. Furthermore, various factors that influence the determination of perfusion parameters were analyzed by means of mathematical simulation. Comparing patient measurement, phantom experiment, and computer simulation under certain conditions (variable frame rate, vessel diameter, etc.), the results of the software algorithms are within the range of parameter accuracy of the reference methods. Therefore, the software algorithm for calculating cortical perfusion parameters from video data presents a helpful intraoperative tool without complex additional measurement technology.


Corresponding author: Claudia Weichelt, Technische Universität Dresden, Institut für Biomedizinische Technik, D-01062 Dresden, Germany, Phone: +49-351-46334911, Fax: +49-351-46336026

This work was partially supported by Carl Zeiss Surgical GmbH, Oberkochen, Germany. The authors would like to thank Kai Merkewitz, Daniel Graf, and Anja Braune for their technical assistance and support in this project.

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Received: 2013-5-16
Accepted: 2013-5-17
Published Online: 2013-06-01
Published in Print: 2013-06-01

©2013 by Walter de Gruyter Berlin Boston