Generation of Synthetic-Pseudo MR images from real CT images

Generation of synthetic Magnetic Resonance (MR) images from computer Tomography (CT) real images by mapping the attenuation coefficients of each pixel in the reconstructed CT image to its corresponding tissue type at specific x-ray energy  (kVp) and specific body region (e.g. abdominal region). Accordingly, identification f the tissue type will enable us to remap the tissue type to their corresponding three major intrinsic parameters (TE and TR). 

Objectives:

  • Providing and Atlas for mapping the T1, T2 and pD parameters with tissue types for specific body region for researches in the field of CT and MRI.
  • Study the correlation between the attenuation coefficients in the human body tissues and the MRI intrinsic contrast parameters (T1,T2 and pD).
  • Investigating the contribution of other parameters in constructing the simulated k-space matrix signals of MRI (chemical shift, Diffusion coefficients, and others).
  • Saving time and costs associated with patient’s MRI examination.
  • MRI waiting list puts pressure on MRI scanners and staff and drives the MRI staff to work beyond routine hours. The proposed approach will relieve the pressure on workers and scanners and shorten the diagnosis time and hence, the treatment time will be shortened as well.
  • Providing Graphical user interface (GUI) software for generating synthetic MR images with different weightings from real CT images. This software will be powerful guidance and supporting tool for the Radiologist physician in the diagnosis stage and therefore improves the evidence based decision-making process.

Subject Area(s):
  • Biomedical Engineering
 
  • Computer Science and Engineering

Principle Investigator:

Isam Abu Qasmieh
 

Associate Professor of Biomedical Systems and Informatics Engineering
 

iabuqasmieh@yu.edu.jo

Unit:

Hijjawi Faculty for Engineering Technology

Period:

10.2016 - 10.2018

Funding Agency:

Scientific Research Support Fund

Partners:

None

Budget:

30,100 JOD

Website:

NA

Outcomes:

  • Synthetic-Pseudo Magnetic Resonance (MR) images can be generated from real CT images.

  • A detailed atlas for mapping the three tissue intrinsic contrast parameters in MR imaging (T1,T2 and pD) to the tissue types in a specific body region ( e.g. abdominal region) can be generated.

  • The three tissue- intrinsic contrast parameters are sufficient in stimulating the K-space matrix signals of MRI of non-fatty and non-neural tissues. However, considering other parameters such as chemical shift or diffusion coefficient will provide a signal that more accurately represents the tissue type.

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