International Journal for Numerical Methods in Biomedical Engineering

Cover image for Vol. 28 Issue 11

November 2012

Volume 28, Issue 11

Pages 1083–1164

  1. Research Articles

    1. Top of page
    2. Research Articles
    1. A model of axonal transport drug delivery: effects of diffusivity (pages 1083–1092)

      A.V. Kuznetsov

      Article first published online: 28 FEB 2012 | DOI: 10.1002/cnm.2469

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      The effects of diffusivity on retrograde dynein-driven transport of pharmaceutical agent complexes (PACs) in axons are investigated. An analytically tractable model of targeted axonal transport drug delivery is developed. The effects of diffusivity and the kinetic rates describing PAC transition between the dynein-driven and accumulated states on transport of PACs toward the neuron soma are investigated.

    2. A near-infrared spectroscopy computational model for cerebral hemodynamics (pages 1093–1106)

      R. Kannan and A. Przekwas

      Article first published online: 16 APR 2012 | DOI: 10.1002/cnm.2480

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      A computational procedure to numerically mimic the near-infrared spectroscopy procedure was devised. This involved noninvasively ‘numerically penetrating’ the brain tissues and reconstructing the optical properties of the presence of water, oxygenated and de-oxygenated blood. These numerical noninvasive measurements are then used to predict the location, extent and severity of the brain hemorrhage in two and three dimensions.

    3. A dual neural network ensemble approach for multiclass brain tumor classification (pages 1107–1120)

      Jainy Sachdeva, Vinod Kumar, Indra Gupta, Niranjan Khandelwal and Chirag kamal Ahuja

      Article first published online: 16 APR 2012 | DOI: 10.1002/cnm.2481

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      Dual level neural network ensemble approach is proposed for classification of five classes of primary and secondary brain tumors and a normal class. The detailed experimentation is performed for testing purposes by using large diversified dataset of 856 segmented regions of interest from 428 images. Principal component analysis is used for reduction of dimensionality. High overall classification accuracies of 95.85% and 90.4% are achieved during the experiments.

    4. Smoothed particle hydrodynamics method applied to pulsatile flow inside a rigid two-dimensional model of left heart cavity (pages 1121–1143)

      S. Shahriari, L. Kadem, B.D. Rogers and I. Hassan

      Article first published online: 28 MAR 2012 | DOI: 10.1002/cnm.2482

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      This work is the first attempt to simulate flow inside a model of the heart's left ventricle (LV) by using Smoothed Particle Hydrodynamics (SPH), a meshfree method. Some interesting features of SPH are demonstrated. The relation between particle resolution and sound speed to control compressibility and order of convergence is highlighted. An approach to implement inflow/outflow boundary conditions is introduced. The results show that SPH is a good candidate for investigating cardiovascular flows allowing direct tracking of the history of fluid elements.

    5. Computational representation of a realistic head and brain volume conductor model: electroencephalography simulation and visualization study (pages 1144–1155)

      Asta Kybartaite

      Article first published online: 17 MAY 2012 | DOI: 10.1002/cnm.2483

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      This study had a twofold fundamental aim: to construct a realistic and highly detailed head and brain volume conductor model based on digital medical images and to apply numerical methods to investigate the influence of different tissue types. The evaluation of results is based on statistical difference metrics and two-dimensional visualization techniques. The major finding indicates that significant change is observed in the scalp surface potentials when the brain's distinctions are removed.

    6. Noncontact intraocular pressure reading prediction after Laser-assisted in situ Keratomileusis by the finite element method (pages 1156–1164)

      Chung-Jen Ou and Han-Yin Sun

      Article first published online: 12 SEP 2012 | DOI: 10.1002/cnm.2513

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      We demonstrate the use of finite element method for predicting the intraocular pressure readings after reshaping of the corneal structure by Laser-assisted in situ Keratomileusis. Results give a good Pearson correlation coefficient between the predictions and the measurements that proved the feasibilities of the present methodology.

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