A Brain Tumor Detection and Growth Rate Calculation from MRI Images Using Morphological and Watershed Operation

Authors

  • Abdullah Al Zubaer
  • Md. Romzan Ali
  • Md. Atikur Rahman
  • Chandon Kumar Biswas
  • Sujit Kumar Mondal

Keywords:

Brain tumor detection, Magnetic Resonance Imaging (MRI), Morphological operation, Patient observation, Tumor

Abstract

Advancements in imaging, particularly MRI technology, have ushered in a paradigm shift in brain tumor segmentation within medical science. Our cutting-edge system goes beyond conventional methods, ensuring meticulous examinations through detailed MRI imaging and the assignment of a unique patient ID for comprehensive record-keeping. This centralized identifier facilitates continuous tracking during subsequent evaluations, seamlessly integrating new MRI data into the patient's medical history. Employing state-of-the-art algorithms, the system conducts in-depth analyses, comparing current and historical tumor characteristics. This automated process aids in assessing improvements or worsening conditions, calculating tumor growth rates, and providing crucial insights for medical professionals. The continuous patient ID enables seamless comparisons, allowing for precise analysis and informed decision-making. This revolutionary approach significantly elevates the accuracy and efficiency of brain tumor diagnostics, heralding a new era in medical imaging. By empowering healthcare professionals with enhanced tools for comprehensive patient care, our system contributes to the ongoing evolution of precision medicine and advances the frontier of diagnostic capabilities in neurology.

Published

2024-02-06

Issue

Section

Articles