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Abstract
Introduction: Intravascular optical coherence tomography (IVOCT) is an in-vivo imaging modality based on the introduction of a catheter in a blood vessel for viewing its inner wall using electromagnetic radiation. One of the most developed automatic applications for this modality is the lumen area segmentation, however on the evaluation of these methods, the slices inside bifurcation regions, or with the presence of complex atherosclerotic plaques and dissections are usually discarded. This paper describes a fully-automatic method for computing the lumen area in IVOCT images where the set of slices includes complex atherosclerotic plaques and dissections. Methods The proposed lumen segmentation method is divided into two steps: preprocessing, including the removal of artifacts and the second step comprises a lumen detection using morphological operations. In addition, it is proposed an approach to delimit the lumen area for slices inside bifurcation region, considering only the main branch. Results Evaluation of the automatic lumen segmentation used manual segmentations as a reference, it was performed on 1328 human IVOCT images, presenting a mean difference in lumen area and Dice metrics of 0.19 mm2 and 97% for slices outside the bifurcation, 1.2 mm2 and 88% in the regions with bifurcation without automatic contour correction and 0.52 mm2 and 90% inside bifurcation region with automatic contour correction. Conclusion This present study shows a robust lumen segmentation method for vessel cross-sections with dissections and complex plaque and bifurcation avoiding the exclusion of such regions from the dataset analysis.
Highlights
Intravascular optical coherence tomography (IVOCT) is an in-vivo imaging modality based on the introduction of a catheter in a blood vessel for viewing its inner wall using electromagnetic radiation
Intravascular optical coherence tomography (IVOCT) is an in vivo high-resolution imaging technique based on the introduction of a catheter inside the blood vessel for viewing its inner wall
The method described above detects the whole lumen area for each slice, the lumen area in a slice inside a bifurcation region comprises more than one branch, so we propose an additional automatic approach to delineate only the main branch of a coronary
Summary
Intravascular optical coherence tomography (IVOCT) is an in-vivo imaging modality based on the introduction of a catheter in a blood vessel for viewing its inner wall using electromagnetic radiation. One of the most developed automatic applications for this modality is the lumen area segmentation, on the evaluation of these methods, the slices inside bifurcation regions, or with the presence of complex atherosclerotic plaques and dissections are usually discarded. Conclusion: This present study shows a robust lumen segmentation method for vessel cross-sections with dissections and complex plaque and bifurcation avoiding the exclusion of such regions from the dataset analysis. Optical coherence tomography (OCT) is based on the technology of low-coherence interferometry and provides cross-sectional images of tissue samples with far better resolution than any other form of imaging modality in vivo This modality has many similarities with ultrasound imaging, but instead of using sound, it uses the scattering of electromagnetic radiation in the near infrared frequency as the signal source. Several past studies evaluated the usefulness of IVOCT (Suter et al, 2010; Yabushita et al, 2002), showing many advantages over other modalities such as intravascular ultrasound (IVUS). Finn et al (2011) analyzed the differences between both IVOCT and IVUS modalities
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