Optimization of temperature distributions in scanned, focused ultrasound hyperthermia.

Scanned, focused ultrasound systems (SFUS) have considerable flexibility in shaping the power deposition field during hyperthermia treatments. When utilizing this adaptability many complicated, interacting decisions must be made to obtain an optimal steady-state temperature distribution. This optimization problem is studied using a 3-D, radially symmetric simulation program which searches for a set of optimal scan parameters. The conjugate-gradient optimization technique with a golden section search was used to obtain the optimal temperature distributions attainable with a single circular scan of a tumour. The variable scan parameters of the single transducer heating system optimized (and under the control of the therapist) are: transducer tilt and rotation angles, focal depth, output acoustical power, and scan radius. This single scan study includes the effects of tumour and normal tissue blood perfusions, tumour depth, skin temperature boundary condition, as well as tumour size and shape. A similar, but less comprehensive, study was done for larger tumours using two concentric circular scans. The results show that (1) the optimization process can produce a set of scan parameters that give a considerably better temperature distribution than could be obtained ad hoc, and (2) the optimal scan parameter configuration obtained produces a close-to-ideal tumour temperature distribution for a wide variety of clinically relevant conditions. Thus, when extended to include data from individual patients such optimization should be a very useful tool in patient treatment planning, and should enhance the present capabilities of clinical scanned, focused ultrasound systems.

[1]  K. B. Ocheltree,et al.  Determination of power deposition patterns for localized hyperthermia: a steady-state analysis. , 1987, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[2]  Robert B. Roemer,et al.  Temperature Distributions Caused by Dynamic Scanning of Focused Ultrasound Transducers , 1982 .

[3]  G. Smith,et al.  Numerical Solution of Partial Differential Equations: Finite Difference Methods , 1978 .

[4]  J. van der Zee,et al.  Retrospective analysis of the response of tumours in patients treated with a combination of radiotherapy and hyperthermia. , 1986, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[5]  K. Hynynen,et al.  Temperature distributions during clinical scanned, focused ultrasound hyperthermia treatments. , 1990, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[6]  E. H. Curtis,et al.  Optimization of the absorbed power distribution for an annular phased array hyperthermia system. , 1989, International journal of radiation oncology, biology, physics.

[7]  M. Dewhirst,et al.  Importance of minimum tumor temperature in determining early and long-term responses of spontaneous canine and feline tumors to heat and radiation. , 1984, Cancer research.

[8]  R B Roemer,et al.  Pre-focal plane high-temperature regions induced by scanning focused ultrasound beams. , 1990, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[9]  K. Hynynen,et al.  Scanned focussed ultrasound hyperthermia: initial clinical results. , 1988, International journal of radiation oncology, biology, physics.

[10]  A. Ravindran,et al.  Engineering Optimization: Methods and Applications , 2006 .

[11]  R. Roemer Optimal power deposition in hyperthermia. I. The treatment goal: the ideal temperature distribution: the role of large blood vessels. , 1991, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[12]  H. H. Pennes Analysis of tissue and arterial blood temperatures in the resting human forearm. 1948. , 1948, Journal of applied physiology.

[13]  J. Larkin,et al.  Systemic thermotherapy: Description of a method and physiologic tolerance in clinical subjects , 1977, Cancer.

[14]  Theoretical investigation of a phased-array hyperthermia system with movable apertures. , 1990, International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group.

[15]  A. Smith,et al.  Circulatory and biochemical effects of whole body hyperthermia , 1974, The British journal of surgery.

[16]  J. Ferziger Numerical methods for engineering application , 1981 .

[17]  K. Hynynen,et al.  Development of scanned focussed ultrasound hyperthermia: clinical response evaluation. , 1991, International journal of radiation oncology, biology, physics.

[18]  L. C. W. Dixon,et al.  Nonlinear Optimization: Theory and Algorithms , 1980 .

[19]  Eduardo Gerardo Moros SIMULATIONS OF SCANNED FOCUSSED ULTRASOUND HYPERTHERMIA: THE EFFECTS OF SCANNING SPEED, SCANNING PATTERN AND MULTIPLE TILTED TRANSDUCERS , 1987 .

[20]  J R Oleson,et al.  Analysis of prognostic variables in hyperthermia treatment of 161 patients. , 1984, International journal of radiation oncology, biology, physics.

[21]  B. Barlogie,et al.  Total-body hyperthermia with and without chemotherapy for advanced human neoplasms. , 1979, Cancer research.

[22]  K. Hynynen,et al.  Scanned focussed ultrasound hyperthermia: Clinical response evaluation , 1990 .

[23]  Win-Li. Lin Scan parameter optimization and a temperature controller for scanned focussed ultrasound hyperthermia: A theoretical and experimental study. , 1990 .

[24]  C. D. Wagter,et al.  Optimization of Simulated Two-Dimensional Temperature Distributions Induced by Multiple Electromagnetic Applicators , 1986 .

[25]  Aimo A. Törn,et al.  Global Optimization , 1999, Science.