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Abstract #1808

Retrospective Reconstruction of High Spatial and Temporal Resolution Temperature Maps for Tissue Property Determination

Nick Todd1, Josh De Bever2, Urvi Vyas3, Allison Payne4, Dennis L. Parker5

1Physics, University of Utah, Salt Lake City, UT, United States; 2Robotics, University of Utah, Salt Lake City, UT, United States; 3Bioengineering, University of Utah, Salt Lake City, UT, United States; 4Mechanical Engineering, University of Utah, Salt Lake City, UT, United States; 5Radiology, University of Utah, Salt Lake City, UT, United States


For certain MR thermometry applications, such as tissue property determination or total accumulated thermal dose calculations, retrospectively reconstructed temperature maps are acceptable. For such purposes, we have implemented a temporally constrained reconstruction method. The technique uses the entire dynamic imaging data set and an iterative cost function minimization algorithm to create 3-D temperature maps with high spatial resolution (~1 - 2mm3), high temporal resolution (~1 sec), and large field of view coverage (~26x16x3cm3). We present the TCR method and applications to retrospective determination of tissue thermal conductivity, ultrasound power deposition, and total accumulated thermal dose.

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