Mapping of flow velocity using spatiotemporal changes in time‐intensity curves from indocyanine green videoangiography
| Autor: | Takuma Sugashi, Tomoya Niizawa, Satoshi Terao, Ryota Hachiya, Kazuto Masamoto, Mutsumi Nagai, Mami Ishikawa |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Indocyanine Green
Materials science genetic structures Physiology 030204 cardiovascular system & hematology 03 medical and health sciences 0302 clinical medicine Physiology (medical) medicine Humans In patient Cortical surface Fluorescein Angiography Time intensity curve Vein Molecular Biology Brain Intracranial Aneurysm Indocyanine green videoangiography Cerebral Angiography Intensity (physics) medicine.anatomical_structure Flow (mathematics) Flow velocity Cerebrovascular Circulation Cardiology and Cardiovascular Medicine Blood Flow Velocity 030217 neurology & neurosurgery Biomedical engineering |
| Zdroj: | Microcirculation. 28 |
| ISSN: | 1549-8719 1073-9688 |
| DOI: | 10.1111/micc.12685 |
| Popis: | Objective The present study developed an image-based analysis method that uses indocyanine green videoangiography (ICG-VA) to measure flow velocity in the arteries and veins of the cortical surface in patients undergoing neurosurgery. Methods MATLAB-based code was used to correct motion artifacts in the ICG-VA and determine the time-intensity curve of the ICG. The slope of the initial increase in ICG intensity following the bolus injection was measured and normalized using the predicted input function in the imaging field. Flow velocity over a certain distance determined by the user was measured based on a time shift of the time-intensity curves along the centerline of the vessels. Results The normalized slope of ICG intensity represented the expected differences in the flow velocity among the artery (0.67 ± 0.05 s-1 ), parenchymal tissue (0.49 ± 0.10 s-1 ), and vein (0.44 ± 0.11 s-1 ). The flow velocities measured along the vessel centerline were 2.5 ± 1.1 cm/s and 1.1 ± 0.3 cm/s in the arteries (0.5 ± 0.2 mm in diameter) and veins (0.6 ± 0.2 mm in diameter), respectively. Conclusions An image-based analysis method for ICG-VA was developed to map the expected differences in the flow velocity based on the rising slope of ICG intensity and to measure the absolute flow velocities using the flexible zone and cross-correlation methods. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|