1. Intensity non-uniformity correction in MRI: Existing methods and their validation
- Author
-
Boubakeur Belaroussi, Hugues Benoit-Cattin, Sabin Carme, Yuemin Zhu, Julien Milles, Centre de Recherche en Acquisition et Traitement de l'Image pour la Santé (CREATIS), Université Jean Monnet [Saint-Étienne] (UJM)-Hospices Civils de Lyon (HCL)-Institut National des Sciences Appliquées de Lyon (INSA Lyon), Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université de Lyon-Institut National des Sciences Appliquées (INSA)-Université Claude Bernard Lyon 1 (UCBL), and Université de Lyon-Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)
- Subjects
Computer science ,Pipeline (computing) ,Health Informatics ,computer.software_genre ,Sensitivity and Specificity ,Imagerie Coeur - Vaisseaux - Poumons ,Pattern Recognition, Automated ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,Imaging, Three-Dimensional ,0302 clinical medicine ,Artificial Intelligence ,Image Interpretation, Computer-Assisted ,[INFO.INFO-IM]Computer Science [cs]/Medical Imaging ,Humans ,sort ,Radiology, Nuclear Medicine and imaging ,Point (geometry) ,ComputingMilieux_MISCELLANEOUS ,Artifact (error) ,Modality (human–computer interaction) ,Radiological and Ultrasound Technology ,business.industry ,Images et Modèles ,Sorting ,Reproducibility of Results ,imagerie volumique ,categ_st2i ,Usability ,Image Enhancement ,Magnetic Resonance Imaging ,Computer Graphics and Computer-Aided Design ,Electromagnetic coil ,Computer Vision and Pattern Recognition ,Data mining ,Artifacts ,business ,computer ,Algorithms ,030217 neurology & neurosurgery - Abstract
Magnetic resonance imaging is a popular and powerful non-invasive imaging technique. Automated analysis has become mandatory to efficiently cope with the large amount of data generated using this modality. However, several artifacts, such as intensity non-uniformity, can degrade the quality of acquired data. Intensity non-uniformity consists in anatomically irrelevant intensity variation throughout data. It can be induced by the choice of the radio-frequency coil, the acquisition pulse sequence and by the nature and geometry of the sample itself. Numerous methods have been proposed to correct this artifact. In this paper, we propose an overview of existing methods. We first sort them according to their location in the acquisition/processing pipeline. Sorting is then refined based on the assumptions those methods rely on. Next, we present the validation protocols used to evaluate these different correction schemes both from a qualitative and a quantitative point of view. Finally, availability and usability of the presented methods is discussed.
- Published
- 2006
- Full Text
- View/download PDF