TY  - JOUR
AU  - Frederic Sampedro
AU  - Anna Domenech
AU  - Sergio Escalera
PY  - 2014//
TI  - Static and dynamic computational cancer spread quantification in whole body FDG-PET/CT scans
T2  - JMIHI
JO  - Journal of Medical Imaging and Health Informatics
SP  - 825
EP  - 831
VL  - 4
IS  - 6
KW  - CANCER SPREAD
KW  - COMPUTER AIDED DIAGNOSIS
KW  - MEDICAL IMAGING
KW  - TUMOR QUANTIFICATION
N2  - 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.
UR  - http://dx.doi.org/10.1166/jmihi.2014.1329
N1  - HuPBA;MILAB
ID  - Frederic Sampedro2014
ER  -