Brain MRI based on Otsu and region growth for ventricle segmentation

Jiale Wang; Daxi Wang

doi:10.1117/12.2604564

5 October 2021 Brain MRI based on Otsu and region growth for ventricle segmentation

Jiale Wang, Daxi Wang

Proceedings Volume 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning; 119110K (2021) https://doi.org/10.1117/12.2604564
Event: 2nd International Conference on Computer Vision, Image and Deep Learning, 2021, Liuzhou, China

Abstract

Brain MRI (magnetic resonance imaging) ventricle segmentation is the key basis for brain disease diagnosis and threedimensional reconstruction. Aiming at the characteristics of insignificant gray-scale difference and low resolution between brain MRI brain tissues, a ventricle segmentation method integrated with Otsu and region growth method was proposed. This method first used Otsu to determine the best global segmentation threshold to improve the growth point selection and growth rules of the region growth method, and then used the improved region growth method and prior knowledge to segment the ventricle region, and used mathematical morphology related techniques to make up the image Holes and edges that are not smooth. Experiments show that compared with Otsu threshold segmentation method and traditional region growth method for brain MRI images, the method in this paper has obvious advantages in segmentation effect, segmentation precision and recall rate. The average value of segmentation and intersection is 0.706319 than IOU, which is better than others. The average value of the algorithm is 42.13% and 23.71% higher, and it has good robustness.

Citation Download Citation

Jiale Wang and Daxi Wang "Brain MRI based on Otsu and region growth for ventricle segmentation", Proc. SPIE 11911, 2nd International Conference on Computer Vision, Image, and Deep Learning, 119110K (5 October 2021); https://doi.org/10.1117/12.2604564

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