title: Quantitative fluorescence angiography for neurosurgical interventions.
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.
authors.affiliation: Institute of Biomedical Engineering, Faculty of Electrical Engineering and Information Technology, Technische Universität Dresden, Dresden, Germany. Claudia.Weichelt@tu-dresden.de
authors.forename: Claudia
authors.initials: C
authors.lastname: Weichelt
authors.forename: Philipp
authors.initials: P
authors.lastname: Duscha
authors.forename: Ralf
authors.initials: R
authors.lastname: Steinmeier
authors.forename: Tobias
authors.initials: T
authors.lastname: Meyer
authors.forename: Julia
authors.initials: J
authors.lastname: Kuß
authors.forename: Peter
authors.initials: P
authors.lastname: Cimalla
authors.forename: Matthias
authors.initials: M
authors.lastname: Kirsch
authors.forename: Stephan B
authors.initials: SB
authors.lastname: Sobottka
authors.forename: Edmund
authors.initials: E
authors.lastname: Koch
authors.forename: Gabriele
authors.initials: G
authors.lastname: Schackert
authors.forename: Ute
authors.initials: U
authors.lastname: Morgenstern
mesh_terms: D000465:Algorithms; D001783:Blood Flow Velocity / Q000502:physiology; D002533:Cerebral Angiography / Q000295:instrumentation / Q000379:methods*; D002536:Cerebral Arteries / Q000033:anatomy & histology / Q000502:physiology*; D002560:Cerebrovascular Circulation / Q000502:physiology*; D003287:Contrast Media; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D007208:Indocyanine Green; D008856:Microscopy, Fluorescence / Q000295:instrumentation / Q000379:methods*; D018715:Microscopy, Video / Q000295:instrumentation / Q000379:methods; D016343:Monitoring, Intraoperative / Q000379:methods; D019635:Neurosurgical Procedures / Q000379:methods*; D019047:Phantoms, Imaging; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012984:Software; D025321:Surgery, Computer-Assisted / Q000379:methods*
chemical_list: D003287:Contrast Media; D007208:Indocyanine Green