Patents by Inventor Mahdi Khajehim

Mahdi Khajehim has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 11867785
    Abstract: Magnetic resonance fingerprinting (“MRF”) techniques in which T1, T2, and T2* are simultaneously quantified using a combined gradient echo and spin echo acquisition with integrated B1 correction are described. The values for T2 and T2* can be estimated separately, but using the same underlying dictionary. This approach enables a smaller dictionary size that is easily manageable, and also reduced error propagation. Moreover, by using echo planar imaging (“EPI”) readouts, the raw MRF images will have higher signal-to-noise ratio (“SNR”) relative images acquired using spiral-based MRF techniques. The EPI-based images are also relatively free of artifacts. Together, these advantages lead to the need for far fewer frames, thereby enabling much faster acquisitions. Moreover, offline reconstruction is not needed, allowing for a more straightforward implementation of MRF.
    Type: Grant
    Filed: April 9, 2020
    Date of Patent: January 9, 2024
    Assignee: Baycrest Centre for Geriatric Care
    Inventor: Mahdi Khajehim
  • Publication number: 20220206095
    Abstract: Magnetic resonance fingerprinting (“MRF”) techniques in which T1, T2, and T2* are simultaneously quantified using a combined gradient echo and spin echo acquisition with integrated B1 correction are described. The values for T2 and T2* can be estimated separately, but using the same underlying dictionary. This approach enables a smaller dictionary size that is easily manageable, and also reduced error propagation. Moreover, by using echo planar imaging (“EPI”) readouts, the raw MRF images will have higher signal-to-noise ratio (“SNR”) relative images acquired using spiral-based MRF techiques. The EPI-based images are also relatively free of artifacts. Together, these advantages lead to the need for far fewer frames, thereby enabling much faster acquisitions. Moreover, offline reconstruction is not needed, allowing for a more straightforward implementation of MRF.
    Type: Application
    Filed: April 9, 2020
    Publication date: June 30, 2022
    Inventor: Mahdi Khajehim