RMI based non-rigid image registration using BF-QPSO optimization and P-spline

Pradhan, Swastik; Patra, Dipti

doi:10.1016/j.aeue.2014.11.003

Cited by 24 publications

(12 citation statements)

References 24 publications

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“…However, in general, B-spline is incapable of knowing the location and number of nodes, and the placement of a suitable number of nodes is a complex nonlinear optimisation process. To avoid singularity or folding effect in the deformation field, an additional regularisation term is needed [16]. Hence, we used P-spline as the median smoothing method of the GAMLSS model.…”

Section: Methodsmentioning

confidence: 99%

Height/Length and Weight Growth Curves and Growth References of Children Aged 0 - 7 in Chongqing by GAMLSS

Chen¹,

Liu²,

Tian³

et al. 2020

Health

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Aim: Using the generalised additive model for location, the scale and shape (GAMLSS), the standard of height (length), weight and percentage curve of children were formulated to understand the growth law in Chongqing and to provide a reference for clinical and preventive health care work of paediatrics in West China. Methods: Data were collected from the health clinic dataset of children aged 0-7 years in the Department of Child Health Care of a Third-Class A hospital in Chongqing from 2010 to 2017. By applying the GAMLSS technology and taking D(μ, σ, ν, τ) as the specific distribution form,

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Section: Methodsmentioning

confidence: 99%

Height/Length and Weight Growth Curves and Growth References of Children Aged 0 - 7 in Chongqing by GAMLSS

Chen¹,

Liu²,

Tian³

et al. 2020

Health

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“…Therefore, it is better to consider a dynamic value for this parameter (the proper value for wis between 0.1 and 0.8). 24 The proposed PSO algorithm flow diagram that is used in the optimization problem is as follows:…”

Section: Output Energy Of Pv Solar Fieldmentioning

confidence: 99%

Optimal design of photovoltaic solar systems considering shading effect and hourly radiation using a modified PSO algorithm

et al. 2019

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Regarding the significant potential of solar energy in Iran, implementation of optimally designed photovoltaic (PV) systems can be effective. Hence, this study proposes two objective functions: first, the maximum possible output energy for a given area and, second, the minimum area receiving a given yearly energy from PV fixed collectors in a solar field, both of which are calculated. In addition, the shading and masking effects are considered in the calculations. A modified particle swarm optimization (MPSO) algorithm is used to solve the optimization problem. The case study of this article is a shopping center in Isfahan-Iran (latitude 32.5°N) with the minimum yearly energy demand of 171 MWh and the 5000 m2 roof area. To evaluate the yearly energy, the calculated hourly radiation approach is applied to the case study. The results show that the maximum possible generated energy is 881 MWh/year for the given area. In addition, to provide the minimum demand, 720 m2 area of roof is needed. To verify the effectiveness of the proposed MPSO, the results are compared with those of obtained by the relevant commercial software.

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“…Several variations of MI has been proposed. Regional MI (RMI) similarity measure have been adopted with spline based interpolation for nonrigid registration in [5].…”

Section: Introductionmentioning

confidence: 99%

Non-rigid medical image registration using adaptive knot selection in P-spline

Pradhan¹,

Patra²

2016

2016 IEEE Students’ Technology Symposium (TechSym)

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In medical imaging application, nonrigid registration is an important step which requires transformation to align the deformed floating image grid points spatially with reference image grids. The transformation includes interpolation which estimates the intensity values of floating image other than the grid points. For nonrigid registration, generally the transformation is modeled using B-spline basis function. As the acquired images are deformed and contains bias field, it is very time consuming to reform the grid at each level. Considering the registration process as an optimization problem, the grid points are adaptively chosen and updated iteratively with a new transformation in each step. In this paper, an adaptive knot placement algorithm is presented for P-spline interpolation method to achieve accurate alignment of local deformation with less computation time. The proposed algorithm is validated with 3 sets of simulated brain images with a known distortion and 2 real brain MR image data sets. Different performance measures such as MSE, RMS, NAE are used to evaluate the qualitative measure of the proposed scheme. Estimated transformation grid and evaluated performance measures show the improvement in the proposed algorithm as compared to the other existing state-of-arts.

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RMI based non-rigid image registration using BF-QPSO optimization and P-spline

Cited by 24 publications

References 24 publications

Height/Length and Weight Growth Curves and Growth References of Children Aged 0 - 7 in Chongqing by GAMLSS

Height/Length and Weight Growth Curves and Growth References of Children Aged 0 - 7 in Chongqing by GAMLSS

Optimal design of photovoltaic solar systems considering shading effect and hourly radiation using a modified PSO algorithm

Non-rigid medical image registration using adaptive knot selection in P-spline

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