ANDHRA UNIVERSITY COLLEGE OF ENGINEERING
A PROJECT ON
Performance Analysis of Kalman Filtering techniques to detect
Brian Tumors in MRI images.
SUBMITTED BY
A SAI KRISHNA
(Regd.No:320106512001)
A GURU DATTA
(Regd.No:320106512002)
M YAKSHITH
(Regd.No:320106512030)
UNDER THE ESTEEMED GUIDANCE OF
PROF. G SASI BHUSHANA RAO
DEPARTMENT OF ELECTRONICS AND COMMUNICATION ENGINEERING,
ANDHRA UNIVERSITY COLLEGE OF ENGINEERING,
ANDHRA UNIVERSITY,
VISAKHAPATNAM – 530003
ABSTRACT
This project addresses the challenge of improving the accuracy and
reliability of brain tumor detection in medical imaging by introducing Kalman
filtering into the diagnostic process. The proposed approach integrates Kalman
filtering techniques with existing methods for brain tumor detection, aiming to
enhance the precision and efficiency of diagnostic outcomes.
The study involves the preprocessing of magnetic resonance imaging (MRI)
scans to mitigate noise and artifacts commonly encountered in medical imaging.
Kalman filtering is then applied to refine the image data, emphasizing relevant
features and reducing false positives in the detection of brain tumors. The algorithm's
adaptability to dynamic changes in image characteristics contributes to its potential
effectiveness in handling variations in tumor appearance.
At the end of the project the effectiveness of the method is reviewed by
appropriate performance metrices like PSNR(Peak Signal to Noise)
Ratio),SSI(Structural Similarity Index),MSE(Mean Squared Error) .This project
contributes to the ongoing efforts in refining medical image analysis techniques and
introduces a novel perspective on the application of Kalman filtering in the context
of brain tumor detection.