Resnet-Unet-FSOA based cranial nerve segmentation and medial axis extraction using MRI images

ABSTRACT

This paper proposes a Resnet-UNet-Fractional Snake Optimization Algorithm (Res-UNet-FSOA) for cranial nerve segmentation. Firstly, MRI images are considered as input, and thereafter preprocessing is conducted utilizing median filtering. In the module of pre-processing, the image enhancement is carried out based upon improved multiscale vesselness that is in identifying local tubular portions of an image. After that, cranial nerve segmentation is done employing Res-UNet, which is an amalgamation of Resnet and UNet. The network is then trained by a devised optimization approach namely, FSOA. The FSOA is proposed by incorporating Fractional Calculus (FC) and Snake Optimizer (SO). Then, start point and end point extraction is executed utilizing deep seeded region growing (DSRG). At last, medial axis extraction is performed using tensor voting and non-maximum suppression (TV-NMS) method. Furthermore, the proposed approach obtained segmentation accuracy of 0.930, Jaccard coefficient of 0.947, and dice coefficient of 0.950.

KEYWORDS:

• Fractional Calculus (FC)
• Snake Optimizer (SO)
• Resnet
• UNet
• deep seeded region growing (DSRG)
• cranial nerve segmentation
• tensor voting
• non-maximum suppression

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

A. Vivekraj

Vivekraj A. received his B.E. degree in Electronics and Communication Engineering from Sengunthar Engineering College, India in the year 2010 and received M.E. degree in Communication systems from Karpagam College of Engineering, Coimbatore, India in the year 2012. He has currently working as a Assistant Professor in the Department of Bio Medical Engineering SRG Engineering College, Namakkal, India. He has 10 years of Teaching in various engineering colleges.

S. Sumathi

Dr. Sumathi S. received his B.E. degree in Electrical and Electronics Engineering from University of Madras, India in the year 2000 and received M.E. degree in Power Electronics and Drives from V.M.K.V. Engineering College, Salem, India in the year 2006. He has received his PhD degree in Faculty of Electrical Engineering from Anna University, Chennai India in the year 2012. He has currently working as a Professor in the Department of Electrical and Electronics Engineering, Mahendra Engineering College, Namakkal, India. She has 21 years of Teaching with research. Her research interest comprises Electrical, Electronics, Solar system, Bio medical, Image processing, Neural Networks, Fuzzy Logic, Intelligent Techniques, Optimization techniques. She has published about more than 70 technical articles in National and International Journals and Conferences. She is a Member in IEEE, Fellow in IE (I), ISTE Member in various professional bodies.