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Biomedical Imaging

Scope: This section considers articles on all biomedical imaging modalities including medical imaging (MRI, CT, PET, ultrasound, x-ray, EEG/MEG), bio-imaging (microscopy, optical imaging) and neuroimaging across all scales of observation. It fosters integrative approaches that combine techniques in biology, medicine, mathematics, computation, hardware development and image processing. Articles on new methodologies or on technical perspectives involving novel imaging concepts and reconstruction methods, machine learning, sparse sampling and statistical analysis tool development are encouraged.

  1. Magnetic Resonance Imaging (MRI), a non-invasive method for the diagnosis of diverse health conditions has experienced growing popularity over other imaging modalities like ultrasound and Computer Tomography. ...

    Authors: Faith Natukunda, Theodora M. Twongyirwe, Steven J. Schiff and Johnes Obungoloch

    Citation: BMC Biomedical Engineering 2021 3:3

    Content type: Review

    Published on:

  2. CS-MRI (compressed sensing for magnetic resonance imaging) exploits image sparsity properties to reconstruct MRI from very few Fourier k-space measurements. Due to imperfect modelings in the inverse imaging, s...

    Authors: Liyan Sun, Yawen Wu, Zhiwen Fan, Xinghao Ding, Yue Huang and John Paisley

    Citation: BMC Biomedical Engineering 2020 2:4

    Content type: Research Article

    Published on:

  3. Since nuclei segmentation in histopathology images can provide key information for identifying the presence or stage of a disease, the images need to be assessed carefully. However, color variation in histopat...

    Authors: Hwejin Jung, Bilal Lodhi and Jaewoo Kang

    Citation: BMC Biomedical Engineering 2019 1:24

    Content type: Research article

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  4. Optical mapping of transmembrane voltage and intracellular calcium is a powerful tool for investigating cardiac physiology and pathophysiology. However, simultaneous dual mapping of two fluorescent probes rema...

    Authors: Rafael Jaimes III, Damon McCullough, Bryan Siegel, Luther Swift, James Hiebert, Daniel McInerney and Nikki Gillum Posnack

    Citation: BMC Biomedical Engineering 2019 1:25

    Content type: Research article

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  5. Due to the presence of high noise level in tomographic series of energy filtered transmission electron microscopy (EFTEM) images, alignment and 3D reconstruction steps become so difficult. To improve the align...

    Authors: Soumia Sid Ahmed, Zoubeida Messali, Larbi Boubchir, Ahmed Bouridane, Sergio Marco and Cédric Messaoudi

    Citation: BMC Biomedical Engineering 2019 1:13

    Content type: Research article

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  6. In Photoacoustic imaging (PAI), the most prevalent beamforming algorithm is delay-and-sum (DAS) due to its simple implementation. However, it results in a low quality image affected by the high level of sidelo...

    Authors: Moein Mozaffarzadeh, Bahador Makkiabadi, Maryam Basij and Mohammad Mehrmohammadi

    Citation: BMC Biomedical Engineering 2019 1:10

    Content type: Research article

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  7. Corneal endothelium (CE) images provide valuable clinical information regarding the health state of the cornea. Computation of the clinical morphometric parameters requires the segmentation of endothelial cell...

    Authors: Juan P. Vigueras-Guillén, Busra Sari, Stanley F. Goes, Hans G. Lemij, Jeroen van Rooij, Koenraad A. Vermeer and Lucas J. van Vliet

    Citation: BMC Biomedical Engineering 2019 1:4

    Content type: Methodology article

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