Dynamic chemical shift imaging for image-guided thermal therapy: analysis of feasibility and potential.
A fast chemical shift imaging (CSI) technique based on a multiple gradient-recalled acquisition using a small number of echoes with intentional aliasing of the reference lipid peak is studied to determine its feasibility for temperature monitoring. Simulations were implemented to find parameters where the lipid and water peaks can be measured using a Fourier-based peak fitting approach as well as using an innovative autoregressive moving average technique. A phantom consisting of 50% mayonnaise/50% lemon juice was calibrated to temperature and compared to literature values. A porcine kidney was treated ex vivo with an external laser and imaged with the CSI technique with comparisons to temperature readings from a fluoroptic monitoring system and complex phase difference (CPD) calculations. To demonstrate the technique in vivo, a Balb/c mouse with a CT26 xenograft in the subcutaneous lower back was treated using gold-coated, silica-core nanoshells heated with an 808 nm interstitial laser. Compared to standard CPD techniques using a two-dimensional fast spoiled gradient recalled echo, this technique maintains spatiotemporal resolution, has high signal-to-noise ratio and accuracy over a wide range of T2* tissue values, can separate water and lipid signals, and additionally can use the lipid peak, when present, as an internal reference.
Taylor
Brian A
BA
Department of Imaging Physics, The University of Texas M.D. Anderson Cancer Center, Houston, Texas 77030, USA.
Hwang
Ken-Pin
KP
Elliott
Andrew M
AM
Shetty
Anil
A
Hazle
John D
JD
Stafford
R Jason
RJ
D000818:Animals; D003110:Colonic Neoplasms / Q000473:pathology* / Q000628:therapy*; D005240:Feasibility Studies; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D051379:Mice; D008807:Mice, Inbred BALB C; D013813:Therapy, Computer-Assisted / Q000379:methods*; D013817:Thermography / Q000379:methods*