Registration quality evaluator: application to automated patient setup verification in radiotherapy

Jian Wu; Sanjiv S. Samant

doi:10.1117/12.538080

12 May 2004 Registration quality evaluator: application to automated patient setup verification in radiotherapy

Jian Wu, Sanjiv S. Samant

Proceedings Volume 5370, Medical Imaging 2004: Image Processing; (2004) https://doi.org/10.1117/12.538080
Event: Medical Imaging 2004, 2004, San Diego, California, United States

Abstract

An image registration quality evaluator (RQE) is proposed to automatically quantify the accuracy of registrations. The RQE, based on an adaptive pattern classifier, is generated from a pair of reference and target images. It is unique to each patient, anatomical site and imaging modality. RQE is applied to patient positioning in cranial radiotherapy using portal/portal and portal/DRR registrations. We adopted 1mm translation and 1° rotation as the maximal acceptable registration errors, reflecting typical clinical setup tolerances. RQE is used to determine the acceptability of a registration. The performance of RQE was evaluated using phantom images containing radio-opaque fiducial markers. Using receiver operating characteristic (ROC) analysis, we estimated the sensitivity and the specificity of the RQE are 0.95 (with 0.89-0.98 confidence interval (CI) at 95% significance level) and 0.95 (with 0.88-0.98 CI at 95% significance level) respectively for intramodal RQE. For intermodal RQE, the sensitivity and the specificity are 0.92 (with 0.81-0.98 CI at 95% significance level) and 0.98 (with 0.89-0.99 CI at 95% significance level) respectively. Clinical use of RQE could significantly reduce the involvement of the oncologist for routine pre-treatment patient positioning verification, while increasing setup accuracy.

Citation Download Citation

Jian Wu and Sanjiv S. Samant "Registration quality evaluator: application to automated patient setup verification in radiotherapy", Proc. SPIE 5370, Medical Imaging 2004: Image Processing, (12 May 2004); https://doi.org/10.1117/12.538080

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