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Topography-based feature extraction of the human placenta from prenatal MR images.
Huang, James; Shahedi, Maysam; Do, Quyen N; Xi, Yin; Lewis, Matthew A; Herrera, Christina L; Owen, David; Spong, Catherine Y; Madhuranthakam, Ananth J; Twickler, Diane M; Fei, Baowei.
Afiliação
  • Huang J; Department of Bioengineering, The University of Texas at Dallas, TX.
  • Shahedi M; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.
  • Do QN; Department of Bioengineering, The University of Texas at Dallas, TX.
  • Xi Y; Center for Imaging and Surgical Innovation, The University of Texas at Dallas, TX.
  • Lewis MA; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Herrera CL; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Owen D; Department of Population and Data Sciences, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Spong CY; Department of Radiology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Madhuranthakam AJ; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Twickler DM; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX.
  • Fei B; Department of Obstetrics and Gynecology, The University of Texas Southwestern Medical Center, Dallas, TX.
Article em En | MEDLINE | ID: mdl-38501056
ABSTRACT
Magnetic resonance imaging (MRI) has gained popularity in the field of prenatal imaging due to the ability to provide high quality images of soft tissue. In this paper, we presented a novel method for extracting different textural and morphological features of the placenta from MRI volumes using topographical mapping. We proposed polar and planar topographical mapping methods to produce common placental features from a unique point of observation. The features extracted from the images included the entire placenta surface, as well as the thickness, intensity, and entropy maps displayed in a convenient two-dimensional format. The topography-based images may be useful for clinical placental assessments as well as computer-assisted diagnosis, and prediction of potential pregnancy complications.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Proc SPIE Int Soc Opt Eng Ano de publicação: 2023 Tipo de documento: Article