PT Journal
AU Frederic Sampedro
   Anna Domenech
   Sergio Escalera
TI Static and dynamic computational cancer spread quantification in whole body FDG-PET/CT scans
SO Journal of Medical Imaging and Health Informatics
JI JMIHI
PY 2014
BP 825
EP 831
VL 4
IS 6
DI 10.1166/jmihi.2014.1329
DE CANCER SPREAD; COMPUTER AIDED DIAGNOSIS; MEDICAL IMAGING; TUMOR QUANTIFICATION
AB In this work we address the computational cancer spread quantification scenario in whole body FDG-PET/CT scans. At the static level, this setting can be modeled as a clustering problem on the set of 3D connected components of the whole body PET tumoral segmentation mask carried out by nuclear medicine physicians. At the dynamic level, and ad-hoc algorithm is proposed in order to quantify the cancer spread time evolution which, when combined with other existing indicators, gives rise to the metabolic tumor volume-aggressiveness-spread time evolution chart, a novel tool that we claim that would prove useful in nuclear medicine and oncological clinical or research scenarios. Good performance results of the proposed methodologies both at the clinical and technological level are shown using a dataset of 48 segmented whole body FDG-PET/CT scans.
ER