Medical image registration utilizing tissue P systems

Saleem Sanatan Kujur; Sudip Kumar Sahana

doi:10.3389/fphar.2022.949872

Medical image registration utilizing tissue P systems

Front Pharmacol. 2022 Aug 5:13:949872. doi: 10.3389/fphar.2022.949872. eCollection 2022.

Authors

Saleem Sanatan Kujur¹, Sudip Kumar Sahana¹

Affiliation

¹ Department of Computer Science and Engineering, Birla Institute of Technology Mesra, Ranchi, India.

Abstract

The tissue P system (TPS) possesses intrinsic attributes of parallel execution in comprehensive data and instruction space, which provides fast convergence during the transition from local to global optima. Method- In this study, we have proposed and built a TPSysIR framework using the TPS for image registration that optimizes upon the mutual information (MI) similarity metric to find a global solution. Result- The model was tested on single- and multimodal brain MRI scans and other prominent optimization-based image registration techniques. Conclusion- Results show that, among all methods, TPSysIR provides better MI values with minimum deviation in a range of experiment setups conducted iteratively.

Keywords: MRI; P systems; TPS; medical image registration; optimization.