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Application and location specific MR Fingerprinting incorporating prior knowledge

IP.com Disclosure Number: IPCOM000240846D
Publication Date: 2015-Mar-06
Document File: 1 page(s) / 15K

Publishing Venue

The IP.com Prior Art Database

Abstract

2014ID02242

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Title: Application and location specific MR Fingerprinting incorporating prior knowledge

MR Fingerprinting is a new and promising approach to obtain MR parameters or tissue specific information for classification. However, there are many experimental and tissue specific parameters that can influence the MR signal which have to be included in the upfront generated dictionary to find a match with the MR signal obtained by a suitable MR Fingerprinting sequence to identify the species in question under the given experimental condition. This means that the search space is rather complex which also implies that the fingerprinting sequence and the data analysis may become rather time consuming. However, in many situations physicians have already lots of prior knowledge; they have often information about the location of a suspicious lesion, or about its character, etc. this information should be used.

It is proposed to use prior information to guide MR Fingerprinting for example when used to rule out diagnostic uncertainties, to better characterize and to finally identify the diseases. It is the idea to use prior knowledge to restrict the spatial origin of the signal and to tailor the MR Fingerprinting sequence by adjusting the acquisition parameters, reducing the acquisition time (posing the right questions) and improving the value of the already available information by complementing it with the right and missing data, helping to answer a clinical question efficiently.    

It is proposed to use prior knowledge to guide MR Fingerprinting to add additional missing information to rule out diagnostic uncertainties, to better characterize and to finally identify the diseases and to do this in a time efficient manner within a short total acquisition time. The main elements are:

(1)        Restrict the spatial origin the MR Fingerprinting signal comes from to do localized MR Fingerprinting, based on prior information. This implies to run a spatially localized MR Fingerprinting sequence (e.g. using single voxel MRF or MRF in a localized or zoomed small FOV) around a l...