SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Journal: Medical physics

Published Date: Oct 1, 2015

Abstract

PURPOSE: Accurate tumor delineation in positron emission tomography (PET) images is crucial in oncology. Although recent methods achieved good results, there is still room for improvement regarding tumors with complex shapes, low signal-to-noise ratio, and high levels of uptake heterogeneity.

Authors

Jérôme Lapuyade-Lahorgue

LaTIM, INSERM, UMR 1101, Brest 29609, France.
Dimitris Visvikis

LaTIM, INSERM, UMR 1101, Brest 29609, France.
Olivier Pradier

LaTIM, INSERM, UMR 1101, Brest 29609, France and Radiotherapy Department, CHRU Morvan, Brest 29609, France.
Catherine Cheze Le Rest

DACTIM University of Poitiers, Nuclear Medicine Department, CHU Milétrie, Poitiers 86021, France.
Mathieu Hatt

LaTIM, INSERM, UMR 1101, Brest 29609, France.

Keywords

Algorithms Automation Carcinoma, Non-Small-Cell Lung Fuzzy Logic Humans Image Processing, Computer-Assisted Lung Neoplasms Phantoms, Imaging Positron-Emission Tomography Sensitivity and Specificity

External Resources

View on PubMed Access via DOI PubMed (26429246)

SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.

Abstract

Authors

Keywords

External Resources

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