Spatial Encoding Of ASL Images Using Time Encoding Transform Techniques

Abstract

    Arterial Spin Labelling(ASL) is a technique in Magnetic Resonance Imaging(MRI), used to assess cerebral blood flow by labeling magnetically, the inflowing blood non-invasively. The existing techniques  to measure ASL perfusion  parameters namely  Multi PLD ASL technique and conventional ASL techniques. In the pseudo-continuous ASL(p-CASL), the uncertainity and also the artefacts of ATT, will be contemplated as the major challenge, in use of Quantitative Cerebral Blood Flow (CBF) values.The proposed Hadamard combined with Walsh-ordered matrices consists of Hadamard submatrices, which can be fully decodable. The Perfusion Weighted Images (PWI) can be yielded through the above submatrices, during the run time, with datasets, which are incomplete.To get more decodable sub-boli, the Mirrored matrix is used for averaging leads. By using the both Walsh-ordered and Hadamard matrices, we can generate the Perfusion Weighted Images.  After the acquisition of PWI images, the resultant perfusion flow maps are generated in the form of images. These images are compared to the conventional multi Post Labeling Delay(PLD), measurements of p-CASL.Providing a relevant information, the perfusion flow-territory mapping methods of Spatial encoding ASL and pCASL can be applied easily to the methodology.