Synthesis of voltage-sensitive optical signals: application to panoramic optical mapping.
Fluorescent photon scattering is known to distort optical recordings of cardiac transmembrane potentials; however, this process is not well quantified, hampering interpretation of experimental data. This study presents a novel model, which accurately synthesizes fluorescent recordings over the irregular geometry of the rabbit ventricles. Using the model, the study aims to provide quantification of fluorescent signal distortion for different optical characteristics of the preparation and of the surrounding medium. A bi-domain representation of electrical activity is combined with finite element solutions to the photon diffusion equation simulating both the excitation and emission processes, along with physically realistic boundary conditions at the epicardium, which allow simulation of different experimental setups. We demonstrate that distortion in the optical signal as a result of fluorescent photon scattering is truly a three-dimensional phenomenon and depends critically upon the geometry of the preparation, the scattering properties of the tissue, the direction of wavefront propagation, and the specifics of the experimental setup. Importantly, we show that in an anatomically accurate model of ventricular geometry and fiber orientation, the morphology of the optical signal does not provide reliable information regarding the intramural direction of wavefront propagation. These findings underscore the potential of the new model in interpreting experimental data.
Bishop
Martin J
MJ
Oxford University Computing Laboratory, Oxford, United Kingdom.
Rodriguez
Blanca
B
Eason
James
J
Whiteley
Jonathan P
JP
Trayanova
Natalia
N
Gavaghan
David J
DJ
D000818:Animals; D018780:Body Surface Potential Mapping; D005453:Fluorescence; D006321:Heart / Q000502:physiology*; D008564:Membrane Potentials; D008955:Models, Cardiovascular; D010496:Pericardium / Q000502:physiology; D017785:Photons; D011817:Rabbits; D012542:Scattering, Radiation; D012815:Signal Processing, Computer-Assisted