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Abstract #0989

MR Based Longitudinal Assessment of Pituitary Adenoma Growth Using Fully Automated Coregistration and Intensity Normalization

Kyrre E. Emblem1,2, Dominic Holland3, Geir Ringstad4, John K. Hald4, Anders M. Dale3,5, Atle Bjornerud1,6

1Department of Medical Physics, Rikshospitalet University Hospital, Oslo, Norway; 2The Interventional Centre, Rikshospitalet University Hospital, Oslo, Norway; 3Department of Neurosciences, University of California, San Diego, USA; 4Clinic for Imaging and Intervention, Rikshospitalet University Hospital, Oslo, Norway; 5Department of Radiology, University of California, San Diego, USA; 6Department of Physics, University of Oslo, Oslo, Norway


Lifelong monitoring of residual tumor growth in patients diagnosed with pituitary adenomas is essential for their continued care and in the decision making of further therapy. Detection of small changes in tumor size is challenging using visual inspection alone and is further complicated by lack of image registration of images acquired at different time-points. We have evaluated the use of a novel rigid-bogy coregistration and intensity normalization method applied to 3D MR images acquired at different time points. The method was found helpful in making the diagnosis and resulted in a change of diagnosis in 38% of the patients.