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Combined Visualization of Intracardiac Blood Flow and Wall Motion Assessed by MRI
Linköping University, Center for Medical Image Science and Visualization, CMIV. Linköping University, Department of Biomedical Engineering. Linköping University, The Institute of Technology.
2011 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

MRI is a well known and widely spread technique to characterize cardiac pathologies due to its high spatial resolution, its accessibility and its adjustable contrast among soft tissues.

In attempt to close the gap between blood flow, myocardial movement and the cardiac fucntion, researching in the MRI field addresses the quantification of some of the most relevant blood and myocardial parameters.

During this proyect a new tool that allows reading, postprocessing, quantifying and visualizing 2D motion sense MR data has been developed. In order to analyze intracardiac blood flow and wall motion, the new tool quantifies velocity, turbulent kinetic energy, pressure and strain.

In the results section the final tool is presented, describing the visualization modes, which represent the quantified parameters both individually and combined; and detailing auxiliary tool features as masking, thresholding, zooming, and cursors.

Finally, thecnical aspects as the convenience of two dimensional examinations to create compact tools, and the challenges of masking as part of the relative pressure calculation, among others, are discussed; ending up with the proposal of some future developments.

Place, publisher, year, edition, pages
2011. , 63 p.
Keyword [en]
Combined visualization, medical imaging, MRI, blood flow, wall motion, Image processing
National Category
Medical Image Processing
URN: urn:nbn:se:liu:diva-75881ISRN: LiTH-IMT/MASTER-EX--11/008--SEOAI: diva2:509929
Subject / course
Masterprogram Biomedical Engineering (BME)
Available from: 2012-03-27 Created: 2012-03-14 Last updated: 2012-06-12Bibliographically approved

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Center for Medical Image Science and Visualization, CMIVDepartment of Biomedical EngineeringThe Institute of Technology
Medical Image Processing

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