Abstract:
A critical issue in Deformable Registration (DR) is its validation due to the lack of a gold standard in clinical practice. We analyze Scale Invariant Feature Transform (...Show MoreNotes: As originally published there was an error in this document. The authors provided their surnames first, (Chiara P., Marta P., Guido B., Marco R.) causing confusion in the metadata. The metadata has been updated (Paganelli C., Peroni M., Baroni G., Riboldi M.) but the PDF remains unchained.
Metadata
Abstract:
A critical issue in Deformable Registration (DR) is its validation due to the lack of a gold standard in clinical practice. We analyze Scale Invariant Feature Transform (SIFT) to quantify its potential as a tool for DR assessment. For this purpose we preliminary verify SIFT properties on both rigid and non-rigid phantoms and then apply it to evaluate DR in Head&Neck Adaptive Radiation Therapy. Results demonstrate SIFT capabilities as a performance assessment metric which is operator-independent and not limited to the analysis of specific structures.
Notes: As originally published there was an error in this document. The authors provided their surnames first, (Chiara P., Marta P., Guido B., Marco R.) causing confusion in the metadata. The metadata has been updated (Paganelli C., Peroni M., Baroni G., Riboldi M.) but the PDF remains unchained.
Date of Conference: 02-05 May 2012
Date Added to IEEE Xplore: 12 July 2012
ISBN Information:
Contents 