Temperature estimation for MR-guided microwave hyperthermia using block-based compressed sensing
| Autor: | Pegah Faridi, Punit Prakash, Balasubramaniam Natarajan, Stefan H. Bossmann, Marla Pyle, Matthew T. Basel, Tej B. Shrestha |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Hyperthermia
Materials science medicine.diagnostic_test Temperature Magnetic resonance imaging Hyperthermia Induced Thermometry Radiation medicine.disease Magnetic Resonance Imaging Imaging phantom Mice Compressed sensing medicine Animals Microwave hyperthermia Microwaves Microwave Block (data storage) Biomedical engineering |
| Zdroj: | EMBC |
| ISSN: | 2694-0604 |
| Popis: | Mild hyperthermia has been clinically employed as an adjuvant for radiation/chemotherapy and is under investigation for precise thermally-mediated delivery of cancer therapeutic agents. Magnetic Resonance Imaging (MRI) facilitates non-invasive, real-time spatial thermometry for monitoring and guiding hyperthermia procedures. Long image acquisition time during MR-guided hyperthermia may fail to capture rapid changes in temperature. This may lead to unwanted heating of healthy tissue and/or temperature rise above hyperthermic range. We have developed a block-based compressed sensing approach to reconstruct volumetric MR-derived microwave hyperthermia temperature profiles using a subset of measured data. This algorithm exploits the sparsity of MR images due to the presence of inter- and intra-slice correlation of hyperthermic MR-derived temperature profiles. We have evaluated the performance of our developed algorithm on a phantom and in vivo in mice using previously implemented microwave applicators. This algorithm reconstructs 3D temperature profiles with PSNR of 33 dB – 49 dB in comparison to the original profiles. In summary, this study suggests that microwave hyperthermia induced temperature profiles can be reconstructed using subsamples to reduce MR image acquisition time. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|