Abstract #4529

Quantification of the effects on proximal femur trabecular bone biometrics by parallel imaging and compressed sensing reconstruction

Brian-Tinh Duc Vu^1,2, Brandon C. Jones^1,2, Rajiv S. Deshpande^1,2, Hyunyeol Lee^2,3, Trevor J. Chan^1,2, Nada Kamona^1,2, Sabrina Ripsman², Dilini Ranaweera², and Chamith S. Rajapakse^2,4

¹Department of Bioengineering, University of Pennsylvania, Philadelphia, PA, United States, ²Department of Radiology, University of Pennsylvania, Philadelphia, PA, United States, ³School of Electronics Engineering, Kyungpook National University, Daegu, Korea, Republic of, ⁴Department of Orthopaedic Surgery, University of Pennsylvania, Philadelphia, PA, United States

Synopsis

Keywords: Bone, Bone, OsteoporosisThe high resolution needed for quantification of trabecular bone biometrics in the proximal femur results in a prohibitively long scan time for clinical screening. Parallel imaging and compressed sensing (PICS) can reduce scan times by undersampling k-space while producing images comparable in quality to that of the Nyquist-sampled scan. Here, we show PICS recovers information on the trabecular microarchitecture at a quality comparable to that of Nyquist-sampled 3D balanced steady-state free precession. We quantify several parameters of trabecular bone for various acceleration factors to investigate the upper limit of PICS acceleration for femoral imaging.

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