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Automatic 3D adaptive vessel segmentation based on linear relationship between intensity and complex-decorrelation in
Yiming Zhang1, Huakun Li1, Tongtong Cao1
1State Key Laboratory of Modern Optical Instrumentation, College of Optical Science and Engineering, International research center for advanced photonics, Zhejiang University, Hangzhou, China.
Quantitative Imaging in Medicine and Surgery
|March 3, 2021
Summary
A new 3D adaptive vessel segmentation method, ID-BISIM, improves optical coherence tomography angiography (OCTA) analysis for conditions like port wine stain (PWS). This technique offers more accurate vessel quantification for better diagnosis and treatment.
Area of Science:
- Medical Imaging
- Biomedical Engineering
- Ophthalmology
Background:
- Accurate vascular segmentation is crucial for quantitative analysis in preclinical and clinical settings, particularly for conditions like port wine stain (PWS).
- Existing methods for optical coherence tomography angiography (OCTA) often lack the reproducibility and objectivity needed for reliable vessel quantification.
- A need exists for automatic, 3D adaptive vessel segmentation techniques in OCTA imaging.
Purpose of the Study:
- To develop and validate a novel 3D adaptive thresholding method for OCTA image vessel segmentation.
- To improve the accuracy and objectivity of vascular quantification in OCTA.
- To enhance the diagnostic and therapeutic assessment of vascular conditions like PWS.
Main Methods:
- A lab-built optical coherence tomography (OCT) system was used for human skin imaging.
- A novel inverse SNR-decorrelation (ID) threshold was proposed, utilizing the linear relationship between local intensity and complex-decorrelation.
- The ID threshold was automatically optimized using a binary image similarity (BISIM) index, creating the ID-BISIM method for 3D adaptive binarization.
Main Results:
- The ID-BISIM method demonstrated superior sensitivity and specificity in vessel segmentation compared to conventional 2-step thresholding.
- A 37-65% improvement in the Youden's index was observed in human skin OCTA experiments.
- Quantitative analysis revealed significant changes in vessel diameter index, vessel area density (VAD), and vessel complexity index (VCI) in PWS lesions compared to normal skin.
Conclusions:
- The proposed ID-BISIM method provides automatic 3D adaptive vessel segmentation with enhanced performance for quantitative OCTA.
- This technique offers improved differentiation of overlapping vessels and depth-resolved analysis.
- Vascular quantitative metrics derived from ID-BISIM hold promise for advancing the diagnosis and treatment of PWS.
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