3D registration of intravascular optical coherence tomography and cryo-image volumes for microscopic-resolution validation

• DOI: 10.1117/12.2217537
• Publication Date: 2016-03-29T21:32:04Z
• Authors: David Prabhu; Emile Mehanna; Madhusudhana Garg...; Di Wen; Eric Brandt; Nienke S. van Dit...; Daniel Chamie; Hirosada Yamamoto; Yusuke Fujino; Ali Farmazilian; Jaymin Patel; Marco Costa; Hiram G. Bezerra; David L. Wilson
• Keywords: Image registration; Calipers

High resolution, 100 frames/sec intravascular optical coherence tomography (IVOCT) can distinguish plaque types, but further validation is needed, especially for automated characterization. We developed experimental and 3D registration methods, to provide of IVOCT pullback volumes using microscopic, brightfield fluorescent cryo-image volumes, with optional, exactly registered cryo-histology. The innovation was a method match an pull-back images, acquired in the catheter reference frame, true volume. Briefly, 11-parameter, polynomial virtual initialized within volume, perpendicular images were extracted, mimicking image acquisition. Virtual parameters optimized maximize cryo lumen overlap. Local minima possible, when we started reasonable ranges, every one 24 digital phantom cases converged good solution error only +1.34±2.65μm (signed distance). Registration applied 10 ex-vivo cadaver coronary arteries (LADs), resulting yielding total 421 2D-image pairs. Image overlays demonstrated high continuity between vascular features. Bland-Altman analysis comparing area, showed mean standard deviation differences as 0.01±0.43 mm2. DICE coefficients 0.91±0.04. Finally, visual assessment on 20 representative easily identifiable features suggested accuracy frame (±200μm), eliminating significant misinterpretations introduced by 1mm errors literature. will data training algorithms be used other imaging modalities.