Normally, the CC region is best visible in the sagittal view of two-dimensional (2D) brain MRI. ĭue to its clinical significance, a substantial amount of CC assessment procedures has been proposed and discussed by researchers. Some of similar research works also report the study of sexual dimorphism in CC. In early significant researches, many works are reported to observe autism disorder based on CC. Their work also confirms that the CC disorder will lead to autism. (2014) also presents the relation of ACC and autism. (2012) on agenesis of corpus callosum (ACC) confirms that CC plays a significant role in problem cracking schemes and swiftness in vocal processing. CC is the prime commissural territory in the human brain, and it is composed of nearly 200-300 axons.
IntroductionĬorpus callosum (CC) is one among the vital brain parts responsible for neural communication among the two brain sections. The experimental outcomes approve that the proposed CBDM extracts the CC section from the 2D MR brain images that have higher accuracy compared to alternative techniques. Further, the performance of CBDM is confirmed on MIDAS and clinical dataset. The results obtained with ABIDE dataset are further confirmed against the fuzzy -means driven level set (FCM + LS) and multiphase level set (MLS) technique and the proposed CBDM with Shannon entropy along with active contour (SE + AC) presented improved result in comparison to the existing methodologies. This attempt considers the benchmark brain MRI database which includes ABIDE and MIDAS for the experimental investigation. The proposed CBDM finally extracts the vital CC parameters, such as total brain area (TBA) and CC area (CCA) to classify the considered 2D MRI slices into the control and autism spectrum disorder (ASD) groups. The postprocessing employs a delineation process for extracting the CC section. The preprocessing tools have a multithreshold technique with the chaotic cuckoo search (CCS) algorithm and a preferred threshold procedure.
The proposed CBDM consists of two parts: (1) preprocessing and (2) postprocessing sections. The work proposes a computer-based diagnosis method (CBDM) to delineate and assess the corpus callosum (CC) segment from the 2-dimensional (2D) brain magnetic resonance images (MRI).
0 kommentar(er)
