Abstract

A new venographic imaging method has been developed to probe brain function. The method relies on the changes induced in the MR signal in venous blood caused by the blood oxygenation level dependent (BOLD) effect from the presence of de-oxyhemoglobin. These changes cause a signal loss in the MR images due to the cancellation of venous blood with surrounding brain parenchyma. When this signal loss is examined as a function of echo time it reveals a unique signature, a non-exponential decay, indicative of the state of oxygen saturation and venous blood volume in the tissue. In this proposal, we plan to use a high resolution 3D version of this BOLD venographic (HRBV) method to cover a large region of interest in the brain. Specifically, we wish to understand the roles of intravascular and extravascular effects in causing this signal loss as a function of vessel size, oxygen saturation and field strength. Given this knowledge, we will attempt to predict both venous oxygen saturation and venous blood volume. This capability will be used under a number of physiologically challenged states in the brain using oxygen, and diamox. It is expected that a robust 3D methodology will be developed and validated to make this approach generally viable for clinical utility in the future. As part of this goal, we will revisit the quantification of oxygen saturation and blood volume measurements using a T1 reducing contrast agent. This will lead to higher quality images and improved accuracy and precision. Finally, we will test a new approach to functional brain imaging which offers the advantage of having a reduced sensitivity to field distortion and its associated signal loss when very long echo times are used. Today, refined techniques exist to handle many of the key experimental issues needed to accomplish these goals. The success of this research may offer a better means to evaluate brain function in fMRI experiments, to diagnose occult venous lesions, to study tumors and other vascular related diseases.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Heart, Lung, and Blood Institute (NHLBI)
Type
Research Project (R01)
Project #
5R01HL062983-02
Application #
6537615
Study Section
Diagnostic Radiology Study Section (RNM)
Program Officer
Ganguly, Pankaj
Project Start
2001-06-16
Project End
2004-05-31
Budget Start
2002-06-01
Budget End
2003-05-31
Support Year
2
Fiscal Year
2002
Total Cost
$344,499
Indirect Cost

  Institution

Name
MRI Institute for Biomedical Research
Department
Type
DUNS #
City
Detroit
State
MI
Country
United States
Zip Code
48202

  Publications

Cheng, Yu-Chung N; Hsieh, Ching-Yi; Tackett, Ronald et al. (2015) Magnetic moment quantifications of small spherical objects in MRI. Magn Reson Imaging 33:829-39
Chang, K; Barnes, S; Haacke, E M et al. (2014) Imaging the effects of oxygen saturation changes in voluntary apnea and hyperventilation on susceptibility-weighted imaging. AJNR Am J Neuroradiol 35:1091-5
Liu, Saifeng; Neelavalli, Jaladhar; Cheng, Yu-Chung N et al. (2013) Quantitative susceptibility mapping of small objects using volume constraints. Magn Reson Med 69:716-23
Tang, J; Liu, S; Neelavalli, J et al. (2013) Improving susceptibility mapping using a threshold-based K-space/image domain iterative reconstruction approach. Magn Reson Med 69:1396-407
Zheng, Weili; Haacke, E Mark; Webb, Samuel M et al. (2012) Imaging of stroke: a comparison between X-ray fluorescence and magnetic resonance imaging methods. Magn Reson Imaging 30:1416-23
Barnes, Samuel R S; Haacke, E Mark; Ayaz, Muhammad et al. (2011) Semiautomated detection of cerebral microbleeds in magnetic resonance images. Magn Reson Imaging 29:844-52
Haacke, E M; Garbern, J; Miao, Y et al. (2010) Iron stores and cerebral veins in MS studied by susceptibility weighted imaging. Int Angiol 29:149-57
Wu, Z; Li, Shaowu; Lei, J et al. (2010) Evaluation of traumatic subarachnoid hemorrhage using susceptibility-weighted imaging. AJNR Am J Neuroradiol 31:1302-10
Haacke, E Mark; Miao, Yanwei; Liu, Manju et al. (2010) Correlation of putative iron content as represented by changes in R2* and phase with age in deep gray matter of healthy adults. J Magn Reson Imaging 32:561-76
Haacke, E M; Tang, J; Neelavalli, J et al. (2010) Susceptibility mapping as a means to visualize veins and quantify oxygen saturation. J Magn Reson Imaging 32:663-76

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