Static and dynamic computational cancer spread quantification in whole body FDG-PET/CT scans

Frederic Sampedro, Anna Domenech, Sergio Escalera

    Research output: Contribution to journalArticleResearchpeer-review

    1 Citation (Scopus)

    Abstract

    © 2014 American Scientific Publishers All rights reserved. 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.
    Original languageEnglish
    Pages (from-to)825-831
    JournalJournal of Medical Imaging and Health Informatics
    Volume4
    Issue number6
    DOIs
    Publication statusPublished - 1 Jan 2014

    Keywords

    • Cancer Spread
    • Computer Aided Diagnosis
    • Medical Imaging
    • Tumor Quantification

    Fingerprint

    Dive into the research topics of 'Static and dynamic computational cancer spread quantification in whole body FDG-PET/CT scans'. Together they form a unique fingerprint.

    Cite this