Autocalibrating parallel imaging of in vivo trabecular bone microarchitecture at 3 Tesla
Corresponding Author
S. Banerjee
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
1700 4th Street, QB3 Building, Suite 201, University of California-San Francisco, San Francisco, CA 94158===Search for more papers by this authorS. Choudhury
Electrical and Computer Engineering, University of California–Santa Barbara, Santa Barbara, California, USA
Search for more papers by this authorE.T. Han
Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
Search for more papers by this authorA.C.S. Brau
Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
Search for more papers by this authorC.V. Morze
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorD.B. Vigneron
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorS. Majumdar
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorCorresponding Author
S. Banerjee
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
1700 4th Street, QB3 Building, Suite 201, University of California-San Francisco, San Francisco, CA 94158===Search for more papers by this authorS. Choudhury
Electrical and Computer Engineering, University of California–Santa Barbara, Santa Barbara, California, USA
Search for more papers by this authorE.T. Han
Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
Search for more papers by this authorA.C.S. Brau
Global Applied Science Laboratory, GE Healthcare, Menlo Park, California, USA
Search for more papers by this authorC.V. Morze
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorD.B. Vigneron
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorS. Majumdar
Department of Radiology, University of California–San Francisco, San Francisco, California, USA
Joint Graduate Group in Bioengineering, University of California–Berkeley and University of California–San Francisco, San Francisco, California, USA
Search for more papers by this authorAbstract
In this work the generalized autocalibrating partially parallel acquisition (GRAPPA) technique was implemented with modified reconstruction and applied to in vivo high-resolution (HR) magnetic resonance imaging (MRI) of the trabecular bone microarchitecture at 3 Tesla (T) with a multiple-acquisition balanced steady-state free precession (b-SSFP) sequence. Trabecular bone is made up of a network of microstructures (80–140 μm), and its structural deterioration is associated with the skeletal metabolic disorder osteoporosis. HR-MRI is a promising noninvasive tool for assessing the trabecular microarchitecture in vivo, but it involves long acquisition times. Using partially parallel imaging (PPI) to accelerate the acquisition may help mitigate this shortcoming and allow more flexibility in protocol design. In this study the effects of GRAPPA-based reconstruction on image characteristics and the measurement of trabecular bone structural parameters were evaluated. Initial studies showed that image quality and depiction of microstructure were preserved in the GRAPPA-based reconstruction, indicating the feasibility of PPI in HR-MRI of trabecular bone. The results also demonstrated the potential of PPI for increasing the signal-to-noise ratio (SNR) efficiency of multiple-acquisition b-SSFP imaging protocols. Magn Reson Med, 2006. © 2006 Wiley-Liss, Inc.
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