Method for quantitative analysis of blood vessel structure
View Patent ↗We disclose quantitative geometrical analysis enabling the measurement of several features of images of tissues including perimeter, area, and other metrics. Automation of feature extraction creates a high throughput capability that enables analysis of serial sections for more accurate measurement of tissue dimensions. Measurement results are input into a relational database where they can be statistically analyzed and compared across studies. As part of the integrated process, results are also imprinted on the images themselves to facilitate auditing of the results. The analysis is fast, repeatable and accurate while allowing the pathologist to control the measurement process.
1. A method for quantitative determination of overall shape of a blood vessel and the spatial relationship of different structures within a given blood vessel comprising the steps of:
(a) imaging a stained histological cross section of the given blood vessel to capture an image;
(b) automatically extracting features of the image to identify different boundary segments based on intensity, color and morphology of the image, wherein the boundary segments include the lumen boundary segment;
(c) applying image processing algorithms and computing boundary segment perimeters and areas after step (b); and
(d) determining the blood vessel overall shape and spatial relationship of different structures within the blood vessel based on the boundary segment perimeters and areas.
2. The method of claim 1 , wherein different boundary segments comprise adventitia, media, internal elastic lamina and intima.
3. The method of claim 1 , wherein the boundary segment perimeters comprise perimeter of the vessel, adventitia, media and lumen.
4. The method of claim 1 , wherein the boundary segment areas comprise area of the vessel, lumen, media and neointima.
5. The method of claim 1 wherein the computed boundary segment perimeters and areas are imprinted such that the perimeters and areas are viewed as part of the image.