CT virtual simulation.

Advances in computer technology and software design have enabled the concept of virtual simulation, first suggested by George Sherouse, to be realized. This article reviews the hardware and software requirements that provide a system that feels like a simulator and can facilitate the 3D planning process. Fast digital reconstruction of a radiograph from a CT data set provides true verification of treatment field design within the constraints of the virtual method. The clinical application of this technique is discussed in detail in relation to particular treatment sites.

[1]  G E Hanks,et al.  Patterns of care study: Hodgkin's disease relapse rates and adequacy of portals , 1983, Cancer.

[2]  C. Shapiro,et al.  The treatment of stage III nonsmall cell lung cancer using high dose conformal radiotherapy. , 1995, International journal of radiation oncology, biology, physics.

[3]  J A Purdy,et al.  Design of a fully integrated three-dimensional computed tomography simulator and preliminary clinical evaluation. , 1994, International journal of radiation oncology, biology, physics.

[4]  R. Siddon.  Fast calculation of the exact radiological path for a three-dimensional CT array. , 1985, Medical physics.

[5]  M. Goitein,et al.  An optical scanner as an aid in simulating treatment with CT data. , 1982, Journal of computer assisted tomography.

[6]  M. Goitein,et al.  Multi-dimensional treatment planning: II. Beam's eye-view, back projection, and projection through CT sections. , 1983, International journal of radiation oncology, biology, physics.

[7]  M. Parmar,et al.  Continuous hyperfractionated accelerated radiotherapy (CHART) versus conventional radiotherapy in non-small-cell lung cancer: a randomised multicentre trial , 1997, The Lancet.

[8]  G W Sherouse,et al.  Computation of digitally reconstructed radiographs for use in radiotherapy treatment design. , 1990, International journal of radiation oncology, biology, physics.

[9]  Y Nagata,et al.  CT simulator: a new 3-D planning and simulating system for radiotherapy: Part 1. Description of system. , 1990, International journal of radiation oncology, biology, physics.

[10]  D. Gladstone,et al.  A numerical simulation of organ motion and daily setup uncertainties: implications for radiation therapy. , 1997, International journal of radiation oncology, biology, physics.

[11]  J. Forman,et al.  Clinical results of computerized tomography-based simulation with laser patient marking. , 1996, International journal of radiation oncology, biology, physics.

[12]  C. Perez,et al.  Impact of irradiation technique and tumor extent in tumor control and survival of patients with unresectable non‐oat cell carcinoma of the lung. Report by the radiation therapy oncology group , 1982, Cancer.

[13]  M. Weinhous.  Treatment verification using a computer workstation. , 1990, International journal of radiation oncology, biology, physics.

[14]  J A Purdy,et al.  Advances in 3-dimensional radiation treatment planning systems: room-view display with real time interactivity. , 1993, International journal of radiation oncology, biology, physics.

[15]  J Rosenman,et al.  Virtual simulation: Initial clinical results , 1991 .

[16]  S Webb,et al.  Non-standard CT scanners: their role in radiotherapy. , 1990, International journal of radiation oncology, biology, physics.

[17]  E. Chaney,et al.  The portable virtual simulator. , 1991, International journal of radiation oncology, biology, physics.

[18]  D P Ragan,et al.  CT-based simulation with laser patient marking. , 1993, Medical physics.

[19]  M. Martel,et al.  Results of high-dose thoracic irradiation incorporating beam's eye view display in non-small cell lung cancer: a retrospective multivariate analysis. , 1993, International journal of radiation oncology, biology, physics.

[20]  K Okajima,et al.  CT simulator: a new 3-D planning and simulating system for radiotherapy: Part 2. Clinical application. , 1990, International journal of radiation oncology, biology, physics.

[21]  J. Purdy,et al.  Dose‐response analysis for nasopharyngeal carcinoma. An historical perspective , 1982, Cancer.

[22]  J Pouliot,et al.  Electronic portal imaging device detection of radioopaque markers for the evaluation of prostate position during megavoltage irradiation: a clinical study. , 1997, International journal of radiation oncology, biology, physics.

[23]  E K Butker,et al.  A totally integrated simulation technique for three-field breast treatment using a CT simulator. , 1996, Medical physics.

[24]  A L Boyer,et al.  An image correlation procedure for digitally reconstructed radiographs and electronic portal images. , 1995, International journal of radiation oncology, biology, physics.

[25]  M Goitein,et al.  The utility of computed tomography in radiation therapy: an estimate of outcome. , 1979, International journal of radiation oncology, biology, physics.

[26]  G W Sherouse,et al.  Virtual simulation in the clinical setting: some practical considerations. , 1990, International journal of radiation oncology, biology, physics.

[27]  I J Das,et al.  Evaluation of digitally reconstructed radiographs (DRRs) used for clinical radiotherapy: a phantom study. , 1995, Medical physics.

[28]  P. Munro,et al.  A review of electronic portal imaging devices (EPIDs). , 1992, Medical physics.

[29]  A. Hanlon,et al.  Evidence of increased failure in the treatment of prostate carcinoma patients who have perineural invasion treated with three‐dimensional conformal radiation therapy , 1997, Cancer.