J Digit Imaging - Accuracy of an automatic patient-positioning system based on the correlation of two edge images in radiotherapy.

Tópicos

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Resumo

We have clinically evaluated the accuracy of an automatic patient-positioning system based on the image correlation of two edge images in radiotherapy. Ninety-six head & neck images from eight patients undergoing proton therapy were compared with a digitally reconstructed radiograph (DRR) of planning CT. Two edge images, a reference image and a test image, were extracted by applying a Canny edge detector algorithm to a DRR and a 2D X-ray image, respectively, of each patient before positioning. In a simulation using a humanoid phantom, performed to verify the effectiveness of the proposed method, no registration errors were observed for given ranges of rotation, pitch, and translation in the x, y, and z directions. For real patients, however, there were discrepancies between the automatic positioning method and manual positioning by physicians or technicians. Using edged head coronal- and sagittal-view images, the average differences in registration between these two methods for the x, y, and z directions were 0.11 cm, 0.09 cm and 0.11 cm, respectively, whereas the maximum discrepancies were 0.34 cm, 0.38 cm, and 0.50 cm, respectively. For rotation and pitch, the average registration errors were 0.95? and 1.00?, respectively, and the maximum errors were 3.6? and 2.3?, respectively. The proposed automatic patient-positioning system based on edge image comparison was relatively accurate for head and neck patients. However, image deformation during treatment may render the automatic method less accurate, since the test image many differ significantly from the reference image.

Resumo Limpo

clinic evalu accuraci automat patientposit system base imag correl two edg imag radiotherapi ninetysix head neck imag eight patient undergo proton therapi compar digit reconstruct radiograph drr plan ct two edg imag refer imag test imag extract appli canni edg detector algorithm drr d xray imag respect patient posit simul use humanoid phantom perform verifi effect propos method registr error observ given rang rotat pitch translat x y z direct real patient howev discrep automat posit method manual posit physician technician use edg head coron sagittalview imag averag differ registr two method x y z direct cm cm cm respect wherea maximum discrep cm cm cm respect rotat pitch averag registr error respect maximum error respect propos automat patientposit system base edg imag comparison relat accur head neck patient howev imag deform treatment may render automat method less accur sinc test imag mani differ signific refer imag

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