MA-MRI is an innovative software solution for MRI using an image post processing algorithm and artificial intelligent (AI) combined with radiomics and genomics to generate novel and powerful multicontrast and multiparametric MRI images. Qualitative and quantitative clinically relevant information is obtained with coregistration of anatomical and functional MRI data for shorter exam time reading and clinician confidence.
MA-MRI images utilize derivative [FTsub] images as a gray scale background map. [FTsub] images are derivative images obtained from source FLAIR maps with superimposed variable weightings of T1 subtraction images. T1 subtraction images are post contrast T1 images less T1 pre contrast images. In this way, a gray scale map can be obtained for optimal lesion localization. [FTsub] images will serve as platform gray scale images. Superimposed on the [FT sub] images will be color map maps of either ASL, diffusion, perfusion, SWI, white matter tracking and multivoxel spectroscopy maps. The color maps will aid in further subclassication of signal changes in [FTsub] images. Similarly, color maps can be superimposed on [T2Tsub] weighted gray scale images for evaluation of disease. [T2Tsub] images are derivative images of T2 and T1 subtraction sequences. The above techniques have widespread application in adult, pediatric and veterinary diagnostic neuroradiology (head, neck and spine imaging). Furthermore, MA-MRI can be used in guided neurosurgical procedures and radiation oncology (planning and post tumor response evaluation). Moreover, MA-MRI is a powerful research tool for evaluation of novel pharmaceutical, biologic, surgical and postradiation treatment of denovo and metastatic tumors of the head, neck and spine. In brief, applications involving the brain include denovo and metastatic tumor analysis as well as dementia, stroke and traumatic brain injury. Applications in the head and neck include tumor imaging including malignancies such as squamous cell carcinomas. MA-MRI images of the spine are useful in tumor and trauma imaging. ( Patent pending)