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Regularized Referenceless Temperature Estimation is PRF-shift MR Thermometry
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Institution: |
1EE Department, Stanford University 2Radiology, Stanford University 3Department of Radiology, Brigham & Women’s Hospital, Harvard Medical School, 75 Francis St., Boston, MA 02115, USA. |
Publisher: |
IEEE Symposium on Biomedical Imaging ISBI 2009 |
Publication Date: |
Jun-2009 |
Citation: |
Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2009; |
Appears in Collections: |
FUS, NCIGT |
Sponsors: |
NIH R01 CA121163 NIH P01 CA067165 NIH U41 RR019703 |
Generated Citation: |
Grissom W.A., Butts-Pauly K., Lustig M., Rieke V., Pauly J., McDannold N. Regularized Referenceless Temperature Estimation is PRF-shift MR Thermometry. Proceedings of the 6th IEEE International Symposium on Biomedical Imaging: From Nano to Macro 2009; |
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| Paper: | Download, View online |
| Export citation: |
In PRF-shift MR thermometry, temperature rises induced by thermal therapy can be estimated from the phase differences between tissue in a heated state and in a pretreatment state. To overcome errors caused by motion, referenceless methods have been proposed that estimate temperature from a single image. However, current referenceless methods require knowledge of the hot spot’s location, ignore underlying noise statistics, and may perform poorly in areas of low image magnitude. We introduce a regularized approach to referenceless PRF-shift temperature estimation that addresses these problems, generalizes readily to multiple receive coils, and does not require knowledge of the hot spot’s location. We demonstrate the method in simulations and with experimental data.
Additional Material
1 File (86.353kB)
Grissom-ISBI2009-fig5.jpg (86.353kB)