title: Segmentation of heterogeneous or small FDG PET positive tissue based on a 3D-locally adaptive random walk algorithm.
abstract: A segmentation algorithm based on the random walk (RW) method, called 3D-LARW, has been developed to delineate small tumors or tumors with a heterogeneous distribution of FDG on PET images. Based on the original algorithm of RW [1], we propose an improved approach using new parameters depending on the Euclidean distance between two adjacent voxels instead of a fixed one and integrating probability densities of labels into the system of linear equations used in the RW. These improvements were evaluated and compared with the original RW method, a thresholding with a fixed value (40% of the maximum in the lesion), an adaptive thresholding algorithm on uniform spheres filled with FDG and FLAB method, on simulated heterogeneous spheres and on clinical data (14 patients). On these three different data, 3D-LARW has shown better segmentation results than the original RW algorithm and the three other methods. As expected, these improvements are more pronounced for the segmentation of small or tumors having heterogeneous FDG uptake.
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; LPNR, UFR-SSMT, University of Cocody, 22 BP 582 Abidjan 22, Côte d'Ivoire. Electronic address: onomapacome@gmail.com.
authors.forename: D P
authors.initials: DP
authors.lastname: Onoma
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France.
authors.forename: S
authors.initials: S
authors.lastname: Ruan
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; Department of Nuclear Medicine, Centre Henri-Becquerel & LITIS EA 4108 - QuantIF, France.
authors.forename: S
authors.initials: S
authors.lastname: Thureau
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; Department of Nuclear Medicine, Centre Henri-Becquerel & LITIS EA 4108 - QuantIF, France.
authors.forename: L
authors.initials: L
authors.lastname: Nkhali
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; Department of Nuclear Medicine, Centre Henri-Becquerel & LITIS EA 4108 - QuantIF, France.
authors.forename: R
authors.initials: R
authors.lastname: Modzelewski
authors.affiliation: LPNR, UFR-SSMT, University of Cocody, 22 BP 582 Abidjan 22, Côte d'Ivoire.
authors.forename: G A
authors.initials: GA
authors.lastname: Monnehan
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; Department of Nuclear Medicine, Centre Henri-Becquerel & LITIS EA 4108 - QuantIF, France.
authors.forename: P
authors.initials: P
authors.lastname: Vera
authors.affiliation: LITIS EA 4108 - QuantIF, University of Rouen, France; Department of Nuclear Medicine, Centre Henri-Becquerel & LITIS EA 4108 - QuantIF, France. Electronic address: isabelle.gardin@chb.unicancer.fr.
authors.forename: I
authors.initials: I
authors.lastname: Gardin
mesh_terms: D000465:Algorithms; D003627:Data Interpretation, Statistical; D019788:Fluorodeoxyglucose F18; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D009369:Neoplasms / Q000000981:diagnostic imaging*; D019047:Phantoms, Imaging; D049268:Positron-Emission Tomography / Q000295:instrumentation / Q000379:methods*; D019275:Radiopharmaceuticals; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity
chemical_list: D019275:Radiopharmaceuticals; D019788:Fluorodeoxyglucose F18
keywords: Heterogeneous tumors; PET imaging; Random walk; Tumor segmentation