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.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.