title: Hausdorff distance based 3D quantification of brain tumor evolution from MRI images.
abstract: This paper presents a quantification method which can be used to quantify the evolution of a brain tumor with time. From two segmented volumes, a Local Distance Volume (LDV) based on Hausdorff Distance is computed to show the true physical local distances between them. In the case of tracking a tumor volume during a therapeutic treatment, local variations can thus be shown by the LDV in particular where the tumor has regressed and where it has grown. This information can help radiologists to adapt the current treatment.
authors.affiliation: CRESTIC - URCA, IUT, de Troyes, 9 rue de Québec, 10026 Troyes Cedex. frederic.nicolier@univ-reims.fr
authors.forename: Frédéric
authors.initials: F
authors.lastname: Morain-Nicolier
authors.forename: Stéphane
authors.initials: S
authors.lastname: Lebonvallet
authors.forename: Etienne
authors.initials: E
authors.lastname: Baudrier
authors.forename: Su
authors.initials: S
authors.lastname: Ruan
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001932:Brain Neoplasms / Q000175:diagnosis*; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D009361:Neoplasm Invasiveness; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D013382:Subtraction Technique