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Beads phantom for evaluating heterogeneity of SUV on 18F-FDG PET images.
Okuda, Koichi; Saito, Hisahiro; Yamashita, Shozo; Yamamoto, Haruki; Ichikawa, Hajime; Kato, Toyohiro; Yokoyama, Kunihiko; Doai, Mariko; Hashimoto, Mitsumasa; Matoba, Munetaka.
Afiliação
  • Okuda K; Department of Physics, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Kahoku, Ishikawa, 920-0293, Japan. okuda@kanazawa-med.ac.jp.
  • Saito H; Department of Radiological Technology, Kanazawa Medical University Hospital, Uchinada, Kahoku, Japan.
  • Yamashita S; Division of Radiology, Public Central Hospital of Matto Ishikawa, Hakusan, Japan.
  • Yamamoto H; Division of Radiology, Public Central Hospital of Matto Ishikawa, Hakusan, Japan.
  • Ichikawa H; Department of Radiology, Toyohashi Municipal Hospital, Toyohashi, Japan.
  • Kato T; Department of Radiology, Toyohashi Municipal Hospital, Toyohashi, Japan.
  • Yokoyama K; PET Imaging Center, Public Central Hospital of Matto Ishikawa, Hakusan, Japan.
  • Doai M; Department of Radiology, Kanazawa Medical University Hospital, Uchinada, Kahoku, Japan.
  • Hashimoto M; Department of Physics, Kanazawa Medical University, 1-1 Daigaku, Uchinada, Kahoku, Ishikawa, 920-0293, Japan.
  • Matoba M; Department of Radiology, Kanazawa Medical University Hospital, Uchinada, Kahoku, Japan.
Ann Nucl Med ; 36(5): 495-503, 2022 May.
Article em En | MEDLINE | ID: mdl-35377093
ABSTRACT

PURPOSE:

This study aimed to develop a dedicated phantom using acrylic beads for texture analysis and to represent heterogeneous 18F-fluorodeoxyglucose (FDG) distributions in various acquisition periods.

METHODS:

Images of acrylic spherical beads with or without diameters of 5- and 10-mm representing heterogeneous and homogeneous 18F-FDG distribution in phantoms, respectively, were collected for 20 min in list mode. Phantom data were reconstructed using three-dimensional ordered subset expectation maximization with attenuation and scatter corrections, and the time-of-flight algorithm. The beads phantom images were acquired twice to evaluate the robustness of texture features. Thirty-one texture features were extracted, and the robustness of texture feature values was evaluated by calculating the percentage of coefficient of variation (%COV) and intraclass coefficient of correlation (ICC). Cross-correlation coefficients among texture feature values were clustered to classify the characteristics of these features.

RESULTS:

Heterogeneous 18F-FDG distribution was represented by the beads phantom images. The agreements of %COV between two measurements were acceptable (ICC ≥ 0.71). All texture features were classified into four groups. Among 31 texture features, 24 exhibited significant different values between phantoms with and without beads in 1-, 2-, 3-, 4-, 5-, 20-min image acquisitions. Whereas, the homogeneous and heterogeneous 18F-FDG distribution could not be discriminated by seven texture features low gray-level run emphasis, high gray-level run emphasis, short-run low gray-level emphasis, low gray-level zone emphasis, high gray-level zone emphasis, short-zone low gray-level emphasis, and coarseness.

CONCLUSIONS:

We have developed the acrylic beads phantom for texture analysis that could represent heterogeneous 18F-FDG distributions in various acquisition periods. Most texture features could discriminate homogeneous and heterogeneous 18F-FDG distributions in the beads phantom images.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Fluordesoxiglucose F18 Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Processamento de Imagem Assistida por Computador / Fluordesoxiglucose F18 Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article