We will develop hardware, software and novel contrast agents for a new angiographic imaging modality called Magnetic Particle Imaging, which is completely different from X-ray, CT and MRI. Currently available angiographic contrast agents (iodine for X-ray and gadolinium for MRI) are dangerous for Chronic Kidney Disease patients. Magnetic Particle Imaging offers excellent image quality and the contrast agents are completely safe for Chronic Kidney Disease patients. This research will remove the final obstacles to a major medical breakthrough for Chronic Kidney Disease patients.

Public Health Relevance

We will develop hardware, software and novel contrast agents for a new angiographic imaging modality called Magnetic Particle Imaging, which is completely different from X-ray, CT and MRI. Currently available angiographic contrast agents (iodine for X-ray and gadolinium for MRI) are dangerous for Chronic Kidney Disease patients;Magnetic Particle Imaging offers excellent image quality and the contrast agents are completely safe for Chronic Kidney Disease patients. This research will remove the final obstacles to a major medical breakthrough for Chronic Kidney Disease patients.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Research Project (R01)
Project #
5R01EB013689-03
Application #
8477187
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Liu, Christina
Project Start
2011-08-01
Project End
2015-05-31
Budget Start
2013-06-01
Budget End
2014-05-31
Support Year
3
Fiscal Year
2013
Total Cost
$378,857
Indirect Cost
$80,398
Name
University of California Berkeley
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
124726725
City
Berkeley
State
CA
Country
United States
Zip Code
94704
Lu, Kuan; Goodwill, Patrick; Zheng, Bo et al. (2018) Multi-Channel Acquisition for Isotropic Resolution in Magnetic Particle Imaging. IEEE Trans Med Imaging 37:1989-1998
Zheng, Bo; Goodwill, Patrick W; Dixit, Neerav et al. (2017) Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging. IEEE Trans Biomed Circuits Syst 11:1041-1052
Khandhar, A P; Keselman, P; Kemp, S J et al. (2017) Evaluation of PEG-coated iron oxide nanoparticles as blood pool tracers for preclinical magnetic particle imaging. Nanoscale 9:1299-1306
Keselman, Paul; Yu, Elaine Y; Zhou, Xinyi Y et al. (2017) Tracking short-term biodistribution and long-term clearance of SPIO tracers in magnetic particle imaging. Phys Med Biol 62:3440-3453
Arami, Hamed; Teeman, Eric; Troksa, Alyssa et al. (2017) Tomographic magnetic particle imaging of cancer targeted nanoparticles. Nanoscale 9:18723-18730
Bao, Yuping; Wen, Tianlong; Samia, Anna Cristina S et al. (2016) Magnetic Nanoparticles: Material Engineering and Emerging Applications in Lithography and Biomedicine. J Mater Sci 51:513-553
Tay, Zhi Wei; Goodwill, Patrick W; Hensley, Daniel W et al. (2016) A High-Throughput, Arbitrary-Waveform, MPI Spectrometer and Relaxometer for Comprehensive Magnetic Particle Optimization and Characterization. Sci Rep 6:34180
Croft, Laura R; Goodwill, Patrick W; Konkle, Justin J et al. (2016) Low drive field amplitude for improved image resolution in magnetic particle imaging. Med Phys 43:424
Zheng, Bo; von See, Marc P; Yu, Elaine et al. (2016) Quantitative Magnetic Particle Imaging Monitors the Transplantation, Biodistribution, and Clearance of Stem Cells In Vivo. Theranostics 6:291-301
Dhavalikar, R; Hensley, D; Maldonado-Camargo, L et al. (2016) Finite magnetic relaxation in x-space magnetic particle imaging: Comparison of measurements and ferrohydrodynamic models. J Phys D Appl Phys 49:

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