title: Toward online modeling for lesion visualization and monitoring in cardiac ablation therapy.
abstract: Despite extensive efforts to enhance catheter navigation, limited research has been done to visualize and monitor the tissue lesions created during ablation in the attempt to provide feedback for effective therapy. We propose a technique to visualize the temperature distribution and extent of induced tissue injury via an image-based model that uses physiological tissue parameters and relies on heat transfer principles to characterize lesion progression in near real time. The model was evaluated both numerically and experimentally using ex vivo bovine muscle samples while emulating a clinically relevant ablation protocol. Results show agreement to within 5 degreeC between the model-predicted and experimentally measured end-ablation tissue temperatures, as well as comparable predicted and observed lesion characteristics. The model yields temperature and lesion updates in near real-time, thus providing reasonably accurate and sufficiently fast monitoring for effective therapy.
authors: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA. linte.cristian@mayo.edu
authors: Cristian A
authors: CA
authors: Linte
authors: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
authors: Jon J
authors: JJ
authors: Camp
authors: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
authors: David R
authors: DR
authors: Holmes
authors: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
authors: Maryam E
authors: ME
authors: Rettmann
authors: Biomedical Imaging Resource, Mayo Clinic, Rochester, MN, USA.
authors: Richard A
authors: RA
authors: Robb
mesh_terms: D000818:Animals; D001831:Body Temperature / Q000502:physiology*; D006348:Cardiac Surgical Procedures / Q000379:methods*; D017115:Catheter Ablation / Q000379:methods*; D002417:Cattle; D003198:Computer Simulation; D006321:Heart / Q000502:physiology*; D066298:In Vitro Techniques; D008955:Models, Cardiovascular; D025321:Surgery, Computer-Assisted / Q000379:methods*; D013817:Thermography / Q000379:methods*