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Intravoxel incoherent motion diffusion weighted imaging in neuroradiology1Radiology, University of Missouri, Columbia, MO, United States
Synopsis
Keywords: Tumors, Brain
This will an educational material for radiologists and radiology trainee on a new model fitting of the diffusion weighted imaging. Clinical translation of the intravoxel incoherent motion DWI is imperative. Its clinical applications are growing. The evaluation of brain tumors, predicting tumor grade, and the evaluation of the treatment outcomes following treatment of brain tumors are important areas for the utility of IVIM.Objectives
- Introduction into intravoxel incoherent motion (IVIM) diffusion weighted imaging- Difference between routine DWI and IVIM-DWI
- Advantages of IVIM model for the evaluation of diffusion of water moleules
- MRI parameters and suggested protocol
- Preprocessing steps and model fit
- Clinical application in neuroradiology
Educational contents
- Discuss what is the meaning of the IVIM and how it is useful- What is the need for another model to diffusion weighted imaging data?
- What is the difference between the routine DWI and IVIM model?
- What are the preprocess steps required for fitting the IVIM
- What are the main parameters "D, f, D*", what each parameter mean and what its significance?
- Clinical applications in neuroradiology:
- Evaluation of brain tumors, predicting the tumor grades, evaluation of treatment outcomes
- The role in stroke
- Monitoring and follow up of MS and other demyelinating diseases
Conclusion and take home messages
IVIM distinguish the true diffusion of water molecules from the other contributed by high flow compartments as blood flow within the capillary bed. IVIM can give insight into micro-environment with better explanation of cellular changes in different pathological conditions. In daily clinical practice, it can help better evaluation of disease processes with individualized patient's management. It will impact the clinical decision-making.Keywords
MRI; IVIM; Neuro; Neuroradiology; DiffusionAcknowledgements
No acknowledgement found.References
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