title: MR imaging assisted temperature calculations during cryosurgery.
abstract: MRI has the potential of becoming an important imaging modality for monitoring the extent of the frozen region during cryosurgery. However, while the temperature history inside the frozen region is of utmost importance in determining the likely outcome of a cryosurgical procedure, it cannot be accessed directly through MRI because of the extremely low signal produced by the frozen region. We have developed a new MRI-assisted numerical technique that can calculate and display the temperature distribution in the frozen region on a standard MR image. The technique combines MR imaging data with a finite difference formulation of the energy equation. Here, the technique is described and experimental results that verify the technique are shown.
authors.affiliation: Department of Mechanical Engineering, University of California, Berkeley 94720.
authors.forename: J S
authors.initials: JS
authors.lastname: Hong
authors.forename: S
authors.initials: S
authors.lastname: Wong
authors.forename: G
authors.initials: G
authors.lastname: Pease
authors.forename: B
authors.initials: B
authors.lastname: Rubinsky
mesh_terms: D000465:Algorithms; D001831:Body Temperature; D003080:Cold Temperature; D003198:Computer Simulation; D003452:Cryosurgery / Q000295:instrumentation / Q000379:methods; D003626:Data Display; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods; D008954:Models, Biological; D008961:Models, Structural; D016343:Monitoring, Intraoperative; D015642:Radiology, Interventional; D015203:Reproducibility of Results; D012815:Signal Processing, Computer-Assisted; D013821:Thermometers; D013997:Time Factors; D014022:Tissue Survival