Automatic detection of registration errors for quality assessment in medical image registration

S.E.A. Muenzing, K. Murphy, B. Van Ginneken, J.P.W. Pluim

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

7 Citaten (Scopus)

Samenvatting

A novel method for quality assessment in medical image registration is presented. It is evaluated on 24 follow-up CT scan pairs of the lung. Based on a reference standard of manually matched landmarks we established a pattern recognition approach for detection of local registration errors. To capture characteristics of these misalignments a set of intensity, entropy and deformation related features was employed. Feature selection was conducted and a kNN classifier was trained and evaluated on a subset of landmarks. Registration errors larger than 2 mm were classified with a sensitivity of 88% and specificity of 94%.

Originele taal-2Engels
TitelProgress in Biomedical Optics and Imaging
DOI's
StatusGepubliceerd - 2009
Extern gepubliceerdJa
Evenement2009 Medical Imaging : Image Processing - Disney Coronado Springs Resort, Lake Buena Vista, Verenigde Staten van Amerika
Duur: 7 feb 200912 feb 2009

Publicatie series

NaamProceedings of SPIE
Volume7259

Congres

Congres2009 Medical Imaging : Image Processing
Land/RegioVerenigde Staten van Amerika
StadLake Buena Vista
Periode7/02/0912/02/09
AnderSPIE Medical Imaging: Image Processing, Lake Buena Vista, Florida, USA

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