An Open-Source 3D MR Image Visualization Toolkit

Kalim Qureshi; Javad Haider Kazmi

doi:doi:10.11648/j.ijmi.20170504.12

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An Open-Source 3D MR Image Visualization Toolkit

Kalim Qureshi, Javad Haider Kazmi

Published in International Journal of Medical Imaging (Volume 5, Issue 4)

Received: 23 February 2016 Accepted: 20 June 2016 Published: 2 November 2017

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Abstract

Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.

Published in	International Journal of Medical Imaging (Volume 5, Issue 4)
DOI	10.11648/j.ijmi.20170504.12
Page(s)	47-52
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2017. Published by Science Publishing Group

Keywords

Medical Imaging, Visualization, Maximum Intensity Projection, Open Source

References

[1]	David T. Gering, Arya Nabavi, Ron Kikinis, Noby Hata, Lauren J. O’Donnell, BS, W. Eric L. Grimson, Ferenc A. Jolesz, Peter M. Black, MD, 3 and William M. Wells, “An Integrated Visualization System for Surgical Planning and Guidance Using Image Fusion and an Open MR”, Journal of Magnetic Resonance Imaging, 13:967-975, 2001.
[2]	Ivo Wolf, Marcus Vetter, Ingmar Wegner, Thomas Bottger, Marc Nolden, Max Schobinger, Mark Hastenteufel, Tobias Kunert, Hans-Peter Meinzer, “The Medical Imaging Interaction Toolkit”, Medical Image Analysis 9, pp. 594-604, 2005.
[3]	Franc¸ois Rousseaua, Estanislao Oubela, Julien Pontabrya, Colin Studholmeb, M´eriam Koobc, d, Jean-Louis Dietemannc,d, “BTK: An Open-Source Toolkit for Fetal Brain MR Image Processing”, Computer Methods and Programs in Biomedicine, 109(1), pp. 65-73, 2013.
[4]	E. Keeve, T. Jansen, Z. Krol, L. Ritter, B. von Rymon-Lipinski, R. Sader, H. Zeilhofer, and P. Zerfass, Julius, “an extendable software framework for surgical planning and image-guided navigation”, Lecture notes in computer science 2208, pp. 1336–1337, Springer, (Berlin), 2001.
[5]	Steven E. Harms, Tommie J. Morgan, William S. Yamanashi, Thomas S. Harle, and Gerald D. Dodd, "Principles of nuclear magnetic resonance imaging", RadioGraphics, Vol. 4, pp. 26-43, 1984.
[6]	D. Stark and W. Bradley Jr., Ed. Magnetic Resonance Imaging. St. Louis, MO: Mosby, 1992.
[7]	Mubbashar Saddique. Jawad Haider Kazmi, and Kalim Qureshi, “A Hybrid Approach of Using Symmetry Technique for Brain Tumor Segmentation”, Journl of Computational Mathematical Methods in Medicine, Volume 2014, Article ID 712783, 2014, pp. 1-13,
[8]	J. H. Kazmi, K. Qureshi, H. Rasheed, "An implementation of SAN filter and edge sharpening method for MRA images", Malaysian journal of computer science, Vol. 20, 2007, pp. 99-114.
[9]	Sonia Rauf, Kalim Qureshi, Jawad Kazmi, Mohammad Sarfraz, “An Empirical Technique to Improve MRA Imaging, Journal of Applied Computing Informatics, doi:10.1016/j.aci.2015.06.002, 2015.

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APA Style

Kalim Qureshi, Javad Haider Kazmi. (2017). An Open-Source 3D MR Image Visualization Toolkit. International Journal of Medical Imaging, 5(4), 47-52. https://doi.org/10.11648/j.ijmi.20170504.12

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ACS Style

Kalim Qureshi; Javad Haider Kazmi. An Open-Source 3D MR Image Visualization Toolkit. Int. J. Med. Imaging 2017, 5(4), 47-52. doi: 10.11648/j.ijmi.20170504.12

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AMA Style

Kalim Qureshi, Javad Haider Kazmi. An Open-Source 3D MR Image Visualization Toolkit. Int J Med Imaging. 2017;5(4):47-52. doi: 10.11648/j.ijmi.20170504.12

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@article{10.11648/j.ijmi.20170504.12,
  author = {Kalim Qureshi and Javad Haider Kazmi},
  title = {An Open-Source 3D MR Image Visualization Toolkit},
  journal = {International Journal of Medical Imaging},
  volume = {5},
  number = {4},
  pages = {47-52},
  doi = {10.11648/j.ijmi.20170504.12},
  url = {https://doi.org/10.11648/j.ijmi.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20170504.12},
  abstract = {Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.},
 year = {2017}
}

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TY  - JOUR
T1  - An Open-Source 3D MR Image Visualization Toolkit
AU  - Kalim Qureshi
AU  - Javad Haider Kazmi
Y1  - 2017/11/02
PY  - 2017
N1  - https://doi.org/10.11648/j.ijmi.20170504.12
DO  - 10.11648/j.ijmi.20170504.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 47
EP  - 52
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20170504.12
AB  - Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.
VL  - 5
IS  - 4
ER  -

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Author Information

Kalim Qureshi

Department of Information Science, College of Computing Sciences and Engineering, Kuwait University, Kuwait
Javad Haider Kazmi

Department of Computer Science COMSATS Institute of Information Technology, Abbottabad, Pakistan

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APA Style

Kalim Qureshi, Javad Haider Kazmi. (2017). An Open-Source 3D MR Image Visualization Toolkit. International Journal of Medical Imaging, 5(4), 47-52. https://doi.org/10.11648/j.ijmi.20170504.12

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ACS Style

Kalim Qureshi; Javad Haider Kazmi. An Open-Source 3D MR Image Visualization Toolkit. Int. J. Med. Imaging 2017, 5(4), 47-52. doi: 10.11648/j.ijmi.20170504.12

Copy | Download

AMA Style

Kalim Qureshi, Javad Haider Kazmi. An Open-Source 3D MR Image Visualization Toolkit. Int J Med Imaging. 2017;5(4):47-52. doi: 10.11648/j.ijmi.20170504.12

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@article{10.11648/j.ijmi.20170504.12,
  author = {Kalim Qureshi and Javad Haider Kazmi},
  title = {An Open-Source 3D MR Image Visualization Toolkit},
  journal = {International Journal of Medical Imaging},
  volume = {5},
  number = {4},
  pages = {47-52},
  doi = {10.11648/j.ijmi.20170504.12},
  url = {https://doi.org/10.11648/j.ijmi.20170504.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20170504.12},
  abstract = {Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.},
 year = {2017}
}

Copy | Download

TY  - JOUR
T1  - An Open-Source 3D MR Image Visualization Toolkit
AU  - Kalim Qureshi
AU  - Javad Haider Kazmi
Y1  - 2017/11/02
PY  - 2017
N1  - https://doi.org/10.11648/j.ijmi.20170504.12
DO  - 10.11648/j.ijmi.20170504.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 47
EP  - 52
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20170504.12
AB  - Medical imaging is an important tool for the treatment and surgical planning of the diseases. These images provide insights to physician and surgeons and help them make their decisions for diagnosis and the treatment of diseases. Processing of these images is an active research area. Visualization is the most important technical determination of the quality and usefulness of these images. Numerous proprietary visualization toolkits exist on dedicated hardware. A need for an open source 3D MR image visualization toolkit for personal computers is realized which should be cheep, extendable, flexible and easy to integrate. Such a toolkit is designed and developed in this paper.
VL  - 5
IS  - 4
ER  -

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