Towards Real-Time Availability of 3-D Temperature Maps Created with Temporally Constrained Reconstruction

Nick Todd¹, Jaya Prakash², Henrik Odeen³, Josh de Bever⁴, Allison Payne¹, Phaneendra Yalavarthy², Dennis L. Parker¹

Large coverage 3-D temperature maps are desirable for many thermal therapy applications. Constrained reconstruction algorithms that create images from undersampled k-space data have been shown capable of providing such maps with the necessary spatial and temporal resolution. However, a large computation burden and batch reconstruction prevent the images from being available in real-time. This work attempts to overcome these challenges by developing a real-time temporally constrained reconstruction algorithm, with the goal of providing large volume 3-D temperature maps with less than 1 second latency.