Literature DB >> 16323064

A medical imaging and visualization toolkit in Java.

Su Huang1, Rafail Baimouratov, Pengdong Xiao, Anand Ananthasubramaniam, Wieslaw L Nowinski.   

Abstract

Medical imaging research and clinical applications usually require combination and integration of various techniques ranging from image processing and analysis to realistic visualization to user-friendly interaction. Researchers with different backgrounds coming from diverse areas have been using numerous types of hardware, software, and environments to obtain their results. We also observe that students often build their tools from scratch resulting in redundant work. A generic and flexible medical imaging and visualization toolkit would be helpful in medical research and educational institutes to reduce redundant development work and hence increase research efficiency. This paper presents our experience in developing a Medical Imaging and Visualization Toolkit (BIL-kit) that is a set of comprehensive libraries as well as a number of interactive tools. The BIL-kit covers a wide range of fundamental functions from image conversion and transformation, image segmentation, and analysis to geometric model generation and manipulation, all the way up to 3D visualization and interactive simulation. The toolkit design and implementation emphasize the reusability and flexibility. BIL-kit is implemented in the Java language so that it works in hybrid and dynamic research and educational environments. This also allows the toolkit to extend its usage for the development of Web-based applications. Several BIL-kit-based tools and applications are presented including image converter, image processor, general anatomy model simulator, vascular modeling environment, and volume viewer. BIL-kit is a suitable platform for researchers and students to develop visualization and simulation prototypes, and it can also be used for the development of clinical applications.

Mesh:

Year:  2006        PMID: 16323064      PMCID: PMC3043954          DOI: 10.1007/s10278-005-9247-6

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  4 in total

1.  A knowledge-driven algorithm for a rapid and automatic extraction of the human cerebral ventricular system from MR neuroimages.

Authors:  Yan Xia; Qingmao Hu; Aamer Aziz; Wieslaw L Nowinski
Journal:  Neuroimage       Date:  2004-01       Impact factor: 6.556

2.  A rapid algorithm for robust and automatic extraction of the midsagittal plane of the human cerebrum from neuroimages based on local symmetry and outlier removal.

Authors:  Qingmao Hu; Wieslaw L Nowinski
Journal:  Neuroimage       Date:  2003-12       Impact factor: 6.556

3.  Informatics in radiology (infoRAD): NeatVision: visual programming for computer-aided diagnostic applications.

Authors:  Paul F Whelan; Robert J T Sadleir; Ovidiu Ghita
Journal:  Radiographics       Date:  2004 Nov-Dec       Impact factor: 5.333

4.  Informatics in Radiology (infoRAD): three-dimensional atlas of the brain anatomy and vasculature.

Authors:  Wieslaw L Nowinski; A Thirunavuukarasuu; Ihar Volkau; Rafail Baimuratov; Qingmao Hu; Aamer Aziz; Su Huang
Journal:  Radiographics       Date:  2005 Jan-Feb       Impact factor: 5.333

  4 in total
  1 in total

1.  Internet image viewer (iiV).

Authors:  Joel T Lee; Kristin R Munch; John V Carlis; José V Pardo
Journal:  BMC Med Imaging       Date:  2008-05-29       Impact factor: 1.930

  1 in total

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