An annotated test-retest collection of prostate multiparametric MRI

Andriy Fedorov, Michael Schwier, David Clunie, Christian Herz, Steve Pieper, Ron Kikinis, Clare Tempany, Fiona Fennessy
2018 Scientific Data  
Multiparametric Magnetic Resonance Imaging (mpMRI) is widely used for characterizing prostate cancer. Standard of care use of mpMRI in clinic relies on visual interpretation of the images by an expert. mpMRI is also increasingly used as a quantitative imaging biomarker of the disease. Little is known about repeatability of such quantitative measurements, and no test-retest datasets have been available publicly to support investigation of the technical characteristics of the MRI-based
more » ... ion in the prostate. Here we present an mpMRI dataset consisting of baseline and repeat prostate MRI exams for 15 subjects, manually annotated to define regions corresponding to lesions and anatomical structures, and accompanied by region-based measurements. This dataset aims to support further investigation of the repeatability of mpMRI-derived quantitative prostate measurements, study of the robustness and reliability of the automated analysis approaches, and to support development and validation of new image analysis techniques. The manuscript can also serve as an example of the use of DICOM for standardized encoding of the image annotation and quantification results. Design Type(s) disease pathway analysis objective • protocol testing objective Measurement Type(s) prostate gland • Region_Of_Interest • prostate cancer Technology Type(s) Multiparametric Magnetic Resonance Imaging • image segmentation • visual observation method Factor Type(s) temporal_interval Sample Characteristic(s) Homo sapiens • prostate gland
doi:10.1038/sdata.2018.281 fatcat:oip2lz47szbppfdb7ynxd6e5by