Stephen Cauley, PhD, is an Assistant Professor of Radiology at Harvard Medical School. He received his BS and PhD in Electrical & Computer Engineering (ECE) from Purdue University. Prior to joining the A.A. Martinos Center for Biomedical Imaging he held positions as a Visiting Assistant Professor in ECE at Purdue University and a Senior Engineer in the Computational Lithography Group at Intel Corporation.
Dr. Cauley’s research examines how cutting edge numerical techniques can be applied to develop new accelerated imaging technologies and tools that will allow for high patient throughput imaging. His work on blipped-CAIPI technology has been distributed to more than 200 research and clinical sites and has set the groundwork for clinical products on Siemens, GE and Phillips MRI scanners. His most recent research has focused on joint optimization techniques to automatically correct imaging artifacts for highly accelerated MRI acquisitions (e.g. encoding errors due to hardware imperfections or patient motion). Some of these techniques are currently being validated in clinical settings through the dissemination of software for the Wave-CAIPI accelerated acquisition method.
PhD in Electrical & Computer Engineering, Purdue University
1. Cauley SF, Polimeni JR, Bhat H, Wald LL, Setsompop K. Interslice leakage artifact reduction technique for simultaneous multislice acquisitions. Magn Reson Med. 2014 Jul;72(1):93-102.
2. Cauley SF, Setsompop K, Bilgic B, Bhat H, Gagoski B, Wald LL. Autocalibrated wave-CAIPI reconstruction; Joint optimization of k-space trajectory and parallel imaging reconstruction. Magn Reson Med. 2017 Sep;78(3):1093-1099.
3. Haskell MW, Cauley SF, Bilgic B, Hossbach J, Splitthoff DN, Pfeuffer J, Setsompop K, Wald LL. Network Accelerated Motion Estimation and Reduction (NAMER): Convolutional neural network guided retrospective motion correction using a separable motion model. Magn Reson Med. 2019 Oct;82(4):1452-1461.
Ross Fellowship; Purdue University (2003)
GAANN Fellowship; Purdue University (2005)