Alan Wright1, Kobus Thiele1, Kirsten M. Selns2, Ingrid S. Gribbestad2, Elisabeth Weiland3, Tom W. J. Scheenen1, Arend Heerschap1
1Radiology, Radboud University Nijmegen Medical Centre, Nijmegen, Gelderland, Netherlands; 2Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway; 3Siemens Healthcare, Erlangen, Germany
An automated quality control algorithm has been developed for 3D 1H MRSI data sets from prostate cancer patients. This will provide an important post processing tool in automation of the analysis of MRSI data of these patients. The method is based on feature extraction using Independent Component Analysis and uses a Gold Standard of consensus decisions of spectral quality as judged by four experts. The algorithm can separate a Test Set of acceptable from unacceptable data with 95% sensitivity and 95% specificity.