Journal Information
International Journal of Biomedical Imaging (IJBI)
https://www.hindawi.com/journals/ijbi/
Publisher:
Hindawi
ISSN:
1687-4188
Viewed:
158
Tracked:
0

Advertisment
Call For Papers
The last quarter century has witnessed major advancements that have brought biomedical imaging to a paramount status in life sciences. As a prominent example, the National Institute of Biomedical Imaging and Bioengineering (NIBIB) was established in 2000 as the newest institute in the National Institutes of Health (NIH), USA. Generally speaking, the scope of biomedical imaging covers data acquisition, image reconstruction, and image analysis, involving theories, methods, systems, and applications. While tomographic and post-processing techniques become increasingly sophisticated, traditional and emerging modalities play more and more critical roles in anatomical, functional, cellular, and molecular imaging. The overall goal of the International Journal of Biomedical Imaging is to promote research and development of biomedical imaging by publishing high-quality research articles and reviews in this rapidly growing interdisciplinary field.

International Journal of Biomedical Imaging is operated by a board of editors consisting of internationally known active researchers. The journal is made available online for free and can also be purchased in print. It utilizes a web-based review process for speedy turnaround up to high standards. In addition to regular issues, special issues will be organized by guest editors. Subject areas include (but are not limited to):

    Digital radiography and tomosynthesis
    X-ray computed tomography (CT)
    Magnetic resonance imaging (MRI)
    Single photon emission computed tomography (SPECT)
    Positron emission tomography (PET)
    Ultrasound imaging
    Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography
    Neutron imaging for biomedical applications
    Magnetic and optical spectroscopy, and optical biopsy
    Optical, electron, scanning tunneling/atomic force microscopy
    Small animal imaging
    Functional, cellular, and molecular imaging
    Imaging assays for screening and molecular analysis
    Microarray image analysis and bioinformatics
    Emerging biomedical imaging techniques
    Imaging modality fusion
    Biomedical imaging instrumentation
    Biomedical image processing, pattern recognition, and analysis
    Biomedical image visualization, compression, transmission, and storage
    Imaging and modeling related to systems biology and systems biomedicine
    Applied mathematics, applied physics, and chemistry related to biomedical imaging
    Grid-enabling technology for biomedical imaging and informatics
Last updated by Dou Sun in 2017-04-30
Special Issues
Special Issue on Development of Computational Methods in Biomedical Optical Imaging
Submission Date: 2017-07-28

Recent growth in the use of optical imaging technology for biomedical research and health care has been explosive. New applications are made possible by emerging technologies in lasers, X-ray, optoelectronic devices, and fiber optics, all of which are being applied to medical research, diagnostics, and therapy. Apparently, the computational methods become more and more important in novel imaging and sensing modalities established in the preclinical and clinical field, including Optical Coherence Tomography (OCT), fluorescence tomography, Bioluminescence Tomography (BLT), X-ray computed tomography (CT), X-Ray Fluorescence Tomography (XFCT), and positron emission tomography (PET). A new special issue in this journal will highlight these achievements. We solicit papers that report on major developments and applications in the field of computational methods for biomedical optical imaging technologies which are used in small animal and patient. We encourage submission of original research works. Potential topics include but are not limited to the following: Computational methods in biomedical optical imaging Image reconstruction methods of CT XFCT, PET, OCT, and so on Novel reconstruction methods in optical molecular imaging Phase-contrast imaging Photon propagation in biological tissues Multimodality fusion imaging Optimization techniques in inverse problems High performance computation: GPU, cloud, parallel processing, and so on Authors can submit their manuscripts through the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijbi/dcmb/. Manuscript Due Friday, 28 July 2017 First Round of Reviews Friday, 20 October 2017 Publication Date Friday, 15 December 2017
Last updated by Dou Sun in 2017-04-30
Special Issue on Advanced Signal Processing in Medical Image Reconstruction
Submission Date: 2017-07-28

Medical imaging is a technique to create visual representations of the interior of the body, with the aim of making accurate diagnosis and optimized treatments. Reconstruction algorithms need to be applied to produce images, such as computer tomography (CT), ultrasound (US), positron emission tomography (PET), single-photon emission computed tomography (SPECT), magnetic resonance imaging (MRI)/functional MRI (fMRI), and fluorescence microscopy. However, due to the limits of intrinsic low signal-to-noise ratio (SNR), photon scarcity, measurement duration, or radiation concern, medical image reconstruction is often an ill-posed inverse problem, for example, the low dose (X-ray) computed tomography (LDCT), PET/SPET, and diffusion-weighted magnetic resonance imaging. Solving inverse problem via traditional algorithm (e.g., Filter-Back-Projection (FBP) method in CT) often leads to poor image quality. This special issue aims to provide a diverse and complementary set of articles that demonstrate new developments and applications of advanced signal processing to improve medical image reconstruction. We also highly recommend that the authors submit multimedia materials with their articles as they will significantly increase the visibility, downloads, and citations of articles. Potential topics include but are not limited to the following: New reconstruction algorithm in medical imaging with low signal-to-noise ratio (e.g., PET, low dose CT, and DTI MRI) Sparse representation based methods in medical imaging Low rank methods in medical imaging Regularization methods in inverse imaging Convex optimization algorithms in medical image reconstruction Patch based reconstruction algorithm Application of multiscale transforms in medical imaging Deep learning based medical imaging and image reconstruction Assessment methods for medical image quality Noise distribution analysis of photon-limited data in medical imaging Authors can submit their manuscripts through the Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ijbi/aspmi/. Manuscript Due Friday, 28 July 2017 First Round of Reviews Friday, 20 October 2017 Publication Date Friday, 15 December 2017
Last updated by Dou Sun in 2017-04-30
Special Issue on Advanced Nanoplatforms for Imaging Guided Tumor Precise Treatment
Submission Date: 2017-09-29

The development of nanotechnology provides an unparalleled opportunity for the diagnosis and treatment of cancer. The nanoparticles with small size and high surface areas can carry various drugs to improve the circulation, increase tumor cell uptake, and reduce the nonspecific release. The easy modification of nanoplatforms also allows them to combine chemical, genetic, photothermal, photodynamic, and immune treatment methods. Furthermore, nanoplatforms can be passive or active to target tumor tissue to achieve specific treatment. Integrating imaging and therapy functionalities into a single nanoplatform to treat tumor has several advantages to improve the therapeutic efficacy. First, imaging could provide the information of the tumor's shape, size, location, and relationship with the surrounding tissues, which is helpful for determining treatment position and scope. Second, the optimal treatment time can be chosen when the therapeutic agents reach the targeted lesion. Third, the proceeding of diseases after therapy can be timely monitored. The special issue aims at publishing high-quality articles and reviews that seek to construct advanced nanoplatforms for imaging guided tumor precise treatment. The manuscripts should be strictly related to imaging, avoiding those generally for drug delivery. Potential topics include but are not limited to the following: Synthesis and characterization of multifunctional Nanoplatforms Nanoplatforms for optical imaging guided tumor treatment Nanoplatforms for magnetic resonance imaging guided tumor treatment Nanoplatforms for nuclear imaging guided tumor treatment Nanoplatforms for photoacoustic imaging guided tumor treatment Nanoplatforms for X-ray imaging guided tumor treatment Nanoplatforms for multimodal imaging guided tumor treatment Authors can submit their manuscripts through the Manuscript Tracking System at https://mts.hindawi.com/submit/journals/ijbi/anight/. Manuscript Due Friday, 29 September 2017 First Round of Reviews Friday, 22 December 2017 Publication Date Friday, 16 February 2018
Last updated by Dou Sun in 2017-04-30
Related Publications
Advertisment
Recommendation