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Automating Spine Curvature Measurement in Volumetric Ultrasound via Adaptive Phase Features.
Zhou, Guang-Quan; Li, Dong-Sheng; Zhou, Ping; Jiang, Wei-Wei; Zheng, Yong-Ping.
Afiliación
  • Zhou GQ; The School of Biological Science and Medical Engineering, Southeast University, Nanjing, China. Electronic address: guangquan.zhou@seu.edu.cn.
  • Li DS; The School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
  • Zhou P; The School of Biological Science and Medical Engineering, Southeast University, Nanjing, China.
  • Jiang WW; The College of Computer Science & Technology, Zhejiang University of Technology, Hangzhou, China.
  • Zheng YP; The Department of Biomedical Engineering, The Hong Kong Polytechnic University, Hong Kong, China.
Ultrasound Med Biol ; 46(3): 828-841, 2020 03.
Article en En | MEDLINE | ID: mdl-31901383
Ultrasound volume projection imaging (VPI) has been recently suggested. This novel imaging method allows a non-radiation assessment of spine deformity with free-hand 3-D ultrasound imaging. This paper presents a fully automatic method to evaluate the spine curve in VPI images corresponding to different projection depth of the volumetric ultrasound, thus making it possible to analyze 3-D spine deformity. The new automatic method is based on prior knowledge about the geometric arrangement of the spinous processes. The frequency bandwidth of log-Gabor filters is adaptively adjusted to calculate the oriented phase congruency, facilitating the segmentation of the spinous column profile. And the spine curvature angle is finally calculated according to the inflection points of the curve over the segmented spinous column profile. The performance of the automatic method is evaluated on spine VPI images among patients with different scoliotic angles. The curvature angles obtained using the proposed method have a high linear correlation with those by the manual method (r = 0.90, p < 0.001) and X-ray Cobb's method (r = 0.87, p < 0.001). The feasibility of 3-D spine deformity assessment is also demonstrated using VPI images corresponding to various projection depth. The results suggest that this method can substantially improve the recognition of the spinous column profile, especially facilitating the applications of 3-D spine deformity assessment.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Curvaturas de la Columna Vertebral / Imagenología Tridimensional Tipo de estudio: Diagnostic_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Ultrasound Med Biol Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Curvaturas de la Columna Vertebral / Imagenología Tridimensional Tipo de estudio: Diagnostic_studies Límite: Adolescent / Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Ultrasound Med Biol Año: 2020 Tipo del documento: Article Pais de publicación: Reino Unido