Multimodal Brain Images for Fusion Domains

Gurpreet Kaur, Purnima, Manbir Sandhu, Anuradha Saini

Abstract: The medical cases resulting due to neurological changes are dependent on imaging techniques for clinical assessment. The advent of diagnosis is dependent on the imaging modality and how the underlying organ is captured. Medical modalities can be divided into spatial and transform domain. Each includes a unlike lay down of medical information during capture. The content of diagnostic information captured from the neurological images is directly proportional to the strength and limitation of the selected medical modality. As per literature, only some diagnostic information is captured from one modality. Assimilating information from multiple modalities better reads and incorporates the clinical diagnostic data. This paper is designed to study and collaborate the study of neurological images from multiple modalities into a single fused image at multiscale. Neurological image fusion is aimed to encompass intricate diagnostic details in a single fused image to abet improved diagnosis.

Keywords: Image fusion, Spatial Domain, Transform Domain, Multimodal Modality, fusion rules