Abstract: Described herein are systems and methods for performing optical signal analysis and lesion predictions in ablations. A system includes a catheter coupled to a plurality of optical fibers via a connector that interfaces with a computing device. The computing device includes a memory and a processor configured to receive optical measurement data of a portion of tissue from the catheter. The processor identifies one or more optical properties of the portion of tissue by analyzing the optical measurement data and determines a time of denaturation of the portion of tissue based on the one or more optical properties. A model is created to represent a correlation between lesion depths and ablation times using the time of denaturation, the one or more optical properties, and the predetermined period of time. A predicted lesion depth for a predetermined ablation time is generated using the model.

Abstract: Described herein are methods, devices, and support structures for assembling optical fibers in catheter tips and facilitating alignment and structural support. A method for assembling a plurality of optical fibers and lenses in a support structure for an ablation catheter includes providing a support structure with a proximal end, a body, and a distal end, the distal end including a plurality of alignment orifices or slits. A plurality of optical fibers are threaded through the alignment orifices or slits, such that each optical fiber is threaded through a corresponding alignment orifice or slit. An adhesive material is applied at each alignment orifice or slit to secure the optical fibers, and the plurality of optical fibers are then cleaved at the distal end to remove portions of the fibers extending out of the distal end. Finally, a lens is attached to each of the ends of the plurality of optical fibers.

Abstract: Described herein are systems and methods for performing optical signal analysis and lesion predictions in ablations. A system includes a catheter coupled to a plurality of optical fibers via a connector that interfaces with a computing device. The computing device includes a memory and a processor configured to receive optical measurement data of a portion of tissue from the catheter. The processor identifies one or more optical properties of the portion of tissue by analyzing the optical measurement data and determines a time of denaturation of the portion of tissue based on the one or more optical properties. A model is created to represent a correlation between lesion depths and ablation times using the time of denaturation, the one or more optical properties, and the predetermined period of time. A predicted lesion depth for a predetermined ablation time is generated using the model.

Abstract: A catheter includes proximal and distal sections, a shaft coupled between the proximal and distal sections, and optical fibers extending through the shaft and to the distal section of the catheter. The distal section includes a support structure that includes a proximal end, a distal end, reflective elements, and a cap disposed over a portion of the distal end of the support structure. The proximal end includes alignment receptacles. Each of the optical fibers is inserted into corresponding ones of the alignment receptacles and the alignment receptacles are shaped to maintain the optical fibers straight in the support structure. The distal end includes orifices facing different directions. Each of the optical fibers is optically aligned with corresponding ones of the lenses, reflective elements, and orifices such that the optical fibers in the support structure are straight. The cap includes optical ports aligned with the orifices.

Abstract: Described herein are methods, devices, and support structures for assembling optical fibers in catheter tips and facilitating alignment and structural support. A method for assembling a plurality of optical fibers and lenses in a support structure for an ablation catheter includes providing a support structure with a proximal end, a body, and a distal end, wherein the distal end includes a plurality of alignment orifices or slits. A plurality of optical fibers are threaded through the alignment orifices or slits, such that each optical fiber is threaded through a corresponding alignment orifice or slit. An adhesive material is applied at each alignment orifice or slit to secure the optical fibers, and the plurality of optical fibers are then cleaved at the distal end to remove portions of the fibers extending out of the distal end. Finally, a lens is attached to each of the ends of the plurality of optical fibers.

Abstract: Described herein are methods, devices, and support structures for assembling optical fibers in catheter tips and facilitating alignment and structural support. A method for assembling a plurality of optical fibers and lenses in a support structure for an ablation catheter includes providing a support structure with a proximal end, a body, and a distal end, wherein the distal end includes a plurality of alignment orifices or slits. A plurality of optical fibers are threaded through the alignment orifices or slits, such that each optical fiber is threaded through a corresponding alignment orifice or slit. An adhesive material is applied at each alignment orifice or slit to secure the optical fibers, and the plurality of optical fibers are then cleaved at the distal end to remove portions of the fibers extending out of the distal end. Finally, a lens is attached to each of the ends of the plurality of optical fibers.

Abstract: Described herein are systems and methods for performing optical signal analysis and lesion predictions in ablations. A system includes a catheter coupled to a plurality of optical fibers via a connector that interfaces with a computing device. The computing device includes a memory and a processor configured to receive optical measurement data of a portion of tissue from the catheter. The processor identifies one or more optical properties of the portion of tissue by analyzing the optical measurement data and determines a time of denaturation of the portion of tissue based on the one or more optical properties. A model is created to represent a correlation between lesion depths and ablation times using the time of denaturation, the one or more optical properties, and the predetermined period of time. A predicted lesion depth for a predetermined ablation time is generated using the model.