TY - JOUR

T1 - A comparison of the accuracy of statistical models of prostate motion trained using data from biomechanical simulations

AU - Hu, Yipeng

AU - Boom, van den, R.

AU - Carter, T.

AU - Taylor, Z.

AU - Hawkes, D.J.

AU - Ahmed, H.U.

AU - Emberton, M.D.

AU - Allen, C.

AU - Barratt, D.

PY - 2010

Y1 - 2010

N2 - Statistical shape models (SSM) are widely used in medical image analysis to represent variability in organ shape. However, representing subject-specific soft-tissue motion using this technique is problematic for applications where imaging organ changes in an individual is not possible or impractical. One solution is to synthesise training data by using biomechanical modelling. However, for many clinical applications, generating a biomechanical model of the organ(s) of interest is a non-trivial task that requires a significant amount of user-interaction to segment an image and create a finite element mesh. In this study, we investigate the impact of reducing the effort required to generate SSMs and the accuracy with which such models can predict tissue displacements within the prostate gland due to transrectal ultrasound probe pressure. In this approach, the finite element mesh is based on a simplified geometric representation of the organs. For example, the pelvic bone is represented by planar surfaces, or the number of distinct tissue compartments is reduced. Such representations are much easier to generate from images than a geometrically accurate mesh. The difference in the median root-mean-square displacement error between different SSMs of prostate was

AB - Statistical shape models (SSM) are widely used in medical image analysis to represent variability in organ shape. However, representing subject-specific soft-tissue motion using this technique is problematic for applications where imaging organ changes in an individual is not possible or impractical. One solution is to synthesise training data by using biomechanical modelling. However, for many clinical applications, generating a biomechanical model of the organ(s) of interest is a non-trivial task that requires a significant amount of user-interaction to segment an image and create a finite element mesh. In this study, we investigate the impact of reducing the effort required to generate SSMs and the accuracy with which such models can predict tissue displacements within the prostate gland due to transrectal ultrasound probe pressure. In this approach, the finite element mesh is based on a simplified geometric representation of the organs. For example, the pelvic bone is represented by planar surfaces, or the number of distinct tissue compartments is reduced. Such representations are much easier to generate from images than a geometrically accurate mesh. The difference in the median root-mean-square displacement error between different SSMs of prostate was

U2 - 10.1016/j.pbiomolbio.2010.09.009

DO - 10.1016/j.pbiomolbio.2010.09.009

M3 - Article

C2 - 20869389

SN - 0079-6107

VL - 103

SP - 262

EP - 272

JO - Progress in Biophysics and Molecular Biology

JF - Progress in Biophysics and Molecular Biology

IS - 2-3

ER -