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Conformai mapping of the human scapula to generate dense landmark features

  • Nathaniel Narra
  • , Jean Rassaire Fouefack
  • , Tania Douglas
  • , Tinashe Mutsvangwa

Tutkimustuotos: KonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

This study presents preliminary work in the detection of shape features through conformal mapping of the surface of the human scapula. The approach employs Ricci-flow based uniformization of the surface topology towards its canonical domain a sphere. The resulting evolution of the surface generates a distribution of conformal factors over the surface. The local maxima and minima of this distributed parameter are used as candidates for representations of local shape features. The procedure was tested on 5 scapulae and the detected features were compared to manual annotations 16 on each scapula. 3 out of 16 landmarks were closely approximated by the detected features with an average distance less than 2.1 mm. Visual inspection reveals other detected features that show apparent consistency in their anatomical location on the surface of the scapula.

AlkuperäiskieliEnglanti
Otsikko2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
KustantajaIEEE
Sivut1-4
Sivumäärä4
ISBN (elektroninen)9781538625163
DOI - pysyväislinkit
TilaJulkaistu - 23 toukok. 2018
Julkaistu ulkoisestiKyllä
OKM-julkaisutyyppiEi OKM-tyyppiä
Tapahtuma3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018 - Stellenbosch, Etelä-Afrikka
Kesto: 4 huhtik. 20186 huhtik. 2018

Julkaisusarja

Nimi2018 3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018

Conference

Conference3rd Biennial South African Biomedical Engineering Conference, SAIBMEC 2018
Maa/AlueEtelä-Afrikka
KaupunkiStellenbosch
Ajanjakso4/04/186/04/18

Rahoitus

*This work is based on research supported by the National Research Foundation (NRF) of South Africa (grant no 114393), the South African Research Chairs Initiative of the NRF and the Department of Science and Technology (grant no 98788), and the Medical Research Council of South Africa.

!!ASJC Scopus subject areas

  • Computer Science Applications
  • Biomedical Engineering

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