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Three Dimensional Optical Coherence Tomography (3D–OCT) allows the visualization of complex morphology within interrogated sections of coronary artery. Current techniques provide a limited view of the interrogated segment, due to geometric constraints. To overcome this, we developed an automated method to produce a novel 3D–OCT view, presenting the endoluminal surface as a flat plane, bounded by the wire shadow, allowing improved visualization of target vessel morphology.
OCT datasets, both in–vitro and in–vivo, acquired using the C7 OCT and DragonFly catheter (LightLab, St Jude, Minneapolis, MN, USA) were processed in MATLAB software (Mathworks, Natick, MA, USA) to unfurl the endoluminal surface, these processed datasets were reconstructed and rendered in OsiriX (Pixemo Software, Geneva, Switzerland) to form a manipulable 3D view of the endoluminal surface.
Automated 3D–OCT reconstruction produced highly detailed reconstructions of the endoluminal surface. Eleven human coronary artery pullbacks were processed in a mean time of 242 ± 16 seconds. Reconstruction allowed the visualization of endoluminal morphology, with side branch ostia position (N=27), stent positioning (N=11) Figure 1 A, dissection flaps (N=4) and jailed side branches (N=12), Figure 1 B, easily identified.
This study demonstrates that automated processing of OCT datasets can be achieved quickly, with the resulting 3D–OCT images yielding a detailed view of morphology of interest.
Poster Sessions, Expo North
Sunday, March 10, 2013, 9:45 a.m.–10:30 a.m.
Session Title: Intravascular Imaging: IVUS and OCT
Abstract Category: 38. TCT@ACC–i2: Intravascular Imaging and Physiology
Presentation Number: 2108–259
- 2013 American College of Cardiology Foundation