Title:A Comprehensive Review of the Recent Advancements in Imaging Segmentation and Registration Techniques for Glioblastoma and Focusing on the Utilization of Magnetic Resonance Imaging (MRI) and Computed Tomography (CT) Scans
Volume: 20
Author(s): Tasnim M. Alnawafleh, Yasmin Radzi*, Marwan Alshipli, Ammar A. Oglat and Ahmad Alflahat
Affiliation:
- Department of Medical Physics and Radiation Science, School of Physics, Universiti Sains Malaysia, 11800 Gelugor, Penang, Malaysia
Keywords:
Glioblastoma, MRI, CT, Image segmentation, Image registration, Malignant brain tumor.
Abstract: The most common primary malignant brain tumor is glioblastoma. Glioblastoma Multiforme (GBM) diagnosis is difficult. However, image
segmentation and registration methods may simplify and automate Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) scan
analysis. Medical practitioners and researchers can better identify and characterize glioblastoma tumors using this technology. Many segmentation
and registration approaches have been proposed recently. Note that these approaches are not fully compiled. This review efficiently and critically
evaluates the state-of-the-art segmentation and registration techniques for MRI and CT GBM images, providing researchers, medical professionals,
and students with a wealth of knowledge to advance GBM imaging and inform decision-making. GBM's origins and development have been
examined, along with medical imaging methods used to diagnose tumors. Image segmentation and registration were examined, showing their
importance in this difficult task. Frequently encountered glioblastoma segmentation and registration issues were examined. Based on these
theoretical foundations, recent image segmentation and registration advances were critically analyzed. Additionally, evaluation measures for
analytical efforts were thoroughly reviewed.
