Abstract
Purpose An integrated videogrammetry based system for high precision fractionated radiotherapy in head and neck region has been developed. Patient setup is performed automatically and patient motion during treatment is detected and compensated. Methods and Materials The system consists of two video cameras controlled by a personal computer, a landmark system with a device for dento-maxillary fixation (DMF) and a computer-controlled motorized tabletop. Individually shaped, the dento-maxillary fixation fits the patient's teeth of the upper jaw. The optical measurement system is calibrated relative to the isocenter of the therapy unit. Position and spatial orientation of the landmarks are monitored by the cameras and processed for the real-time calculation of a target point's actual position relative to its initial position. Calculated translational misalignments are compensated online by countermovements of a 3D computer-controlled tabletop. Rotational deviations cannot be corrected automatically, but non-isocentric rotations are separeted into isocentric rotations and translations, which are online corrected. Thus the planned target point remains in the isocenter. Results System inaccuracies due to algorithm, calibration, illumination dependence, scale factors for image formation, have been determined in phantom studies. Algorithm and calibration errors are smaller than 0.2 %. Illumination dependence is uncritical for the infrared emitting diodes (IRED) used. Spectrally adapted bandpass filters eliminate interferences, caused by other light sources. The DMF repositioning accuracy has been derived from clinical studies on 11 patients to be 0.280±0.140 mm (mean±std. dev.). Spatial resolution of the optical measurement system is 5 μm for translational and 20 μrad for rotational deviations with a sampling frequency of 15–20 Hz. The maximum speed of the tabletop is 25 mm per second, the spatial resolution is about 10 μm with a default residual motion stop of 50 μm for translational deviations with respect to the initial targetpoint position. In summary, the overall positioning accuracy of the complete system was determined to be 0.6 mm. Conclusion For stereotacically guided radiotherapy in head and neck region the developed patient positioning sensor unit (PPSU) combines the high positioning accuracy, known from invasive stereotactic fixation in single-fraction radiotherapy, together with well known biological advantages for a fractionated regimen. The high positioning accuracy allows to decrease the commonly added safety margins. This leads to an enormous reduction of irradiated tumor-surrounding healthy tissue. The PPSU realizes automatic patient setup, patient motion detection and online movement compensation during therapy.
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References
Amelung J., Ristow B.; Precise measurement of the head position in radiation therapy; CAR 1995; book of abstracts; pp: 1301; 1995.
Beck-Bornholdt H.-P., Schmidt R., Schwarz R.; Biological isoeffect distributions: Consideration of the influence of dose per fraction and overall treatment time. A possible tool in future treatment planning; Strahlentherapie und Onkologie 167; 1991.
Bijhold J.; Three-dimensional verification of patient placement during radiotherapy using portal images; Med. Phys. 20: 347–56; 1993.
Gall K., Verhey L.; Computer-assisted positioning of radiotherapy patients using implanted radio-opaque fiducials; Med. Phys. 20: 1153–59; 1993.
Gildersleve J., Dearnaley D., Evans P., Swindell W.; Reproducibility of patient positioning during routine radiotherapy, as assessed by an integrated megavoltage imaging system; Radiotherapy and Oncology 35: 151–60; 1995.
Hess C., Kortmann R., Jany R., Bamberg M.; Accuracy of field alignment in radiotherapy of head and neck cancer utilizing individualized face mask immobilization: a retrospective analysis of clinical practice; Radiotherapy and Oncology 34; 69–72; 1995.
Kelsey C., Lane R., Connor W.; Measurement of patient movement during radiation therapy; Radiology 103: 697–698; 1982.
Kortmann R.-D., Hess C., Hoffmann W. et al; Is the standardized helmet technique adequate for irradiation of the brain and the cranial meninges?; Int. J.-Radiation Oncology Biology Physics 32: 241–44; 1995.
Kraus K.; Photogrammetrie; Vol. 1, 3rd ed. Bonn: Dümmler; 1990.
Lam K., Haken R., McShan D.; Automated determination of patient setup errors in radiation therapy using radio-opaque markers; Med. Phys. 20: 1145–52; 1993.
Leksell L.; The stereotactic method and radiosurgery of the brain; Acta Chir. Scand. 102; 316–19; 1951
Menke M., Hirschfeld F., Mack T., Pastyr O., Schlegel W.; Photogrammetric accuracy measurements of head holder systems used for fractinated radiotherapy; Int. J.-Radiation Oncology Biology Physics 29: 1147–55; 1994.
Niemierko A., Goitein M.; Modeling of normal tissue response to radiation: The critical volume model; Int. J.-Radiation Oncology Biology Physics 25: 135–45; 1993.
Niewald M.; Lehmann W. et al; Plastic materials used to optimize radiotherapy of head and neck tumors and the mammary carcinoma; Radiother. Oncol. 11: 55–63; 1988.
Norwood H., Stubbs B.; Patient movements during radiotherapy; Br. J. Radiol. 57: 155–58; 1984.
Okutomi M., Kanade F.; A multiple-baseline stereo; IEEE, Trans. Pat. Mach. Int.; Vol. 15; No. 4; pp 353–363; 1993.
Schlegel W., Pastyr O., Bortfeld T. et al; Computer systems and mechanical tools for stereotactically guided conformation therapy with linear accelerators; Int. J.-Radiation Oncology Biology Physics 24: 781–87; 1992
Selvik G.; Roentgen stereophotogrammetry; Acta Orthop. Scand. Suppl. 232, 60; 1989.
Sturm V., Pastyr O., Schlegel W. et al; Stereotactic computer tomography with a modified Riechert-Mundinger device as the basis for integrated stereotactic neuroradiological investigations; Acta Neurochir 68: 11–17; 1983.
Tsai R.; A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses; IEEE, J. of Robotics and automation; Vol RA-3: 323–44; 1987.
Van der Vlugt G., Rüther H.; A real-time photogrammetric system for patient positioning in proton therapy; Int. Arch. Photogrammetry and Remote Sensing 28: 880–85; 1992.
Webb S., Nahum A.; A model for calculating tumor control probability in radiotherapy including the effects of inhomogeneous distributions of dose and clonogenic cell density; Phys. Med. Biol. 38: 653–66; 1993.
Weltens C., Kesteloot K., Vandevelde G., Van Den Bogaert W.; Comparison of plastic and ORFIT© masks for patient head fixation during radiotherapy: precision and costs; Int. J.-Radiation Oncology Biology Physics 33: 499–507; 1995.
Withers H.; Biological basis of radiation therapy; In: Perez C., Brady L.; ed. Principles and practice of radiation oncology; 1st ed. Philadelphia, PA: Lippincott,Co; 1987.
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Lappe, C. et al. (1997). Computer-controlled noninvasive patient positioning in fractionated radiotherapy — A videogrammetric system for automatic patient setup, fast detection of patient motion and online correction of target point misalignment during therapy. In: Troccaz, J., Grimson, E., Mösges, R. (eds) CVRMed-MRCAS'97. CVRMed MRCAS 1997 1997. Lecture Notes in Computer Science, vol 1205. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0029295
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DOI: https://doi.org/10.1007/BFb0029295
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