全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A LabVIEW Platform for Preclinical Imaging Using Digital Subtraction Angiography and Micro-CT

DOI: 10.1155/2013/581617

Full-Text   Cite this paper   Add to My Lib

Abstract:

CT and digital subtraction angiography (DSA) are ubiquitous in the clinic. Their preclinical equivalents are valuable imaging methods for studying disease models and treatment. We have developed a dual source/detector X-ray imaging system that we have used for both micro-CT and DSA studies in rodents. The control of such a complex imaging system requires substantial software development for which we use the graphical language LabVIEW (National Instruments, Austin, TX, USA). This paper focuses on a LabVIEW platform that we have developed to enable anatomical and functional imaging with micro-CT and DSA. Our LabVIEW applications integrate and control all the elements of our system including a dual source/detector X-ray system, a mechanical ventilator, a physiological monitor, and a power microinjector for the vascular delivery of X-ray contrast agents. Various applications allow cardiac- and respiratory-gated acquisitions for both DSA and micro-CT studies. Our results illustrate the application of DSA for cardiopulmonary studies and vascular imaging of the liver and coronary arteries. We also show how DSA can be used for functional imaging of the kidney. Finally, the power of 4D micro-CT imaging using both prospective and retrospective gating is shown for cardiac imaging. 1. Introduction Clinical X-ray-based imaging using digital subtraction angiography (DSA) or computed tomography (CT) has highlighted the value of dynamic real-time acquisition for characterizing cardiac function and blood flow. Translating this imaging technology to preclinical studies has enormous potential to help study critical pathways in genetic models and to highlight potential concerns in drug safety evaluation. Therefore, one of the leading edges of X-ray-based preclinical imaging is the extension to faster scanning to allow collection of functional information such as in cine cardiac and perfusion studies. But small animal imaging poses formidable challenges that require both high spatial and temporal resolution. For example, the mouse heart has a diameter of about 5?mm and has heart rates as high as 600 beats/minute. The lack of commercial systems suitable for such tasks prompted us to develop a dual source/detector X-ray imaging system to use for both micro-CT and DSA studies in rodents [1]. The control of such a complex imaging system requires substantial software development for which we used the graphical language LabVIEW (National Instruments, Austin, TX). A key benefit of LabVIEW over other development environments is the extensive support for accessing instrumentation

References

[1]  C. Badea, S. Johnston, B. Johnson, M. Lin, L. Hedlund, and G. A. Johnson, “A dual micro-CT system for small animal imaging,” in Proceedings of SPIE, vol. 6913, article 691342, San Diego, Calif, USA, 2008.
[2]  M. Dierick, B. Masschaele, and L. Van Hoorebeke, “Octopus, a fast and user-friendly tomographic reconstruction package developed in LabView,” Measurement Science and Technology, vol. 15, no. 7, pp. 1366–1370, 2004.
[3]  R. Dielenberg, P. Halasz, K. Hosaka, and D. van Helden, “Vessel motion measurement in real-time using movement detection at multiple regions of interest,” Journal of Neuroscience Methods, vol. 152, no. 1-2, pp. 40–47, 2006.
[4]  H. Kroon, “An overall X-ray system simulation model developed for system design and image quality versus patient dose optimization,” in Proceedings of the Medical Imaging 2003: Physics of Medical Imaging, Pts 1 and 2, vol. 5030, pp. 445–458, February 2003.
[5]  C. N. Ionita, K. R. Hoffmann, D. R. Bednarek, R. Chityala, and S. Rudin, “Cone-beam micro-CT system based on LabVIEW software,” Journal of Digital Imaging, vol. 21, no. 3, pp. 296–305, 2008.
[6]  J. Wang, P. Zhu, Q. Yuan et al., “Design and construction of an X-ray phase contrast CT system at BSRF,” Radiation Physics and Chemistry, vol. 75, no. 11, pp. 1986–1989, 2006.
[7]  S. Stojadinovic, D. A. Low, A. J. Hope et al., “MicroRT-small animal conformal irradiator,” Medical Physics, vol. 34, no. 12, pp. 4706–4716, 2007.
[8]  C. Badea, L. W. Hedlund, and G. A. Johnson, “Micro-CT with respiratory and cardiac gating,” Medical Physics, vol. 31, no. 12, pp. 3324–3329, 2004.
[9]  X. Guo, S. Johnston, G. A. Johnson, and C. Badea, “A comparison of sampling strategies for dual energy micro-CT,” in Proceedings of SPIE, vol. 8313, San Diego, Calif, USA, 2012.
[10]  L. W. Hedlund and T. L. Gluckman, “Basics of Small Animal Handling for In Vivo Imaging,” in Molecular Imaging in Oncology, M. Pomper and J. Gelovani, Eds., pp. 377–390, Informa Healthcare, 2008.
[11]  L. W. Hedlund and G. A. Johnson, “Mechanical ventilation for imaging the small animal lung,” ILAR Journal, vol. 43, no. 3, pp. 159–174, 2002.
[12]  L. W. Hedlund, G. P. Cofer, S. J. Owen, and G. Allan Johnson, “MR-compatible ventilator for small animals: computer-controlled ventilation for proton and noble gas imaging,” Magnetic Resonance Imaging, vol. 18, no. 6, pp. 753–759, 2000.
[13]  M. D. Lin, L. Ning, C. T. Badea, N. N. Mistry, Y. Qi, and G. A. Johnson, “A high-precision contrast injector for small animal X-ray digital subtraction angiography,” IEEE Transactions on Biomedical Engineering, vol. 55, no. 3, pp. 1082–1091, 2008.
[14]  S. Mukundan, K. B. Ghaghada, C. T. Badea et al., “A liposomal nanoscale contrast agent for preclinical CT in mice,” The American Journal of Roentgenology, vol. 186, no. 2, pp. 300–307, 2006.
[15]  M. Lin, C. T. Marshall, Y. Qi et al., “Quantitative blood flow measurements in the small animal cardiopulmonary system using digital subtraction angiography,” Medical Physics, vol. 36, no. 11, pp. 5347–5358, 2009.
[16]  M. D. Lin, Y. Qi, A. F. Chen, C. T. Badea, and G. A. Johnson, “Phenylephrine-modulated cardiopulmonary blood flow measured with use of X-ray digital subtraction angiography,” Journal of Pharmacological and Toxicological Methods, vol. 64, no. 2, pp. 180–186, 2011.
[17]  C. T. Badea, L. W. Hedlund, Y. Qi, B. Berridge, and G. A. Johnson, “In vivo imaging of rat coronary arteries using bi-plane digital subtraction angiography,” Journal of Pharmacological and Toxicological Methods, vol. 64, no. 2, pp. 151–157, 2011.
[18]  K. A. Miles, D. A. C. Leggett, and G. A. J. Bennett, “CT derived Patlak images of the human kidney,” British Journal of Radiology, vol. 72, no. 854, pp. 153–158, 1999.
[19]  R. E. Pollard, T. C. Garcia, S. M. Stieger, K. W. Ferrara, A. R. Sadlowski, and E. R. Wisner, “Quantitative evaluation of perfusion and permeability of peripheral tumors using contrast-enhanced computed tomography,” Investigative Radiology, vol. 39, no. 6, pp. 340–349, 2004.
[20]  C. S. Patlak, R. G. Blasberg, and J. D. Fenstermacher, “Graphical evaluation of blood-to-brain transfer constants from multiple-time uptake data,” Journal of Cerebral Blood Flow and Metabolism, vol. 3, no. 1, pp. 1–7, 1983.
[21]  C. T. Badea, B. Fubara, L. W. Hedlund, and G. A. Johnson, “4-D micro-CT of the mouse heart,” Molecular Imaging, vol. 4, no. 2, pp. 110–116, 2005.
[22]  I. A. Feldkamp, L. C. Davis, and J. W. Kress, “Practical cone-beam algorithm,” Journal of the Optical Society of America A, vol. 1, no. 6, pp. 612–619, 1984.
[23]  S. M. Johnston, G. A. Johnson, and C. T. Badea, “Temporal and spectral imaging with micro-CT,” Medical Physics, vol. 39, no. 8, pp. 4943–4958, 2012.
[24]  C. T. Badea, S. M. Johnston, Y. Qi, and G. A. Johnson, “4D micro-CT for cardiac and perfusion applications with view under sampling,” Physics in Medicine and Biology, vol. 56, no. 11, pp. 3351–3369, 2011.
[25]  J. Song, Q. H. Liu, G. A. Johnson, and C. T. Badea, “Sparseness prior based iterative image reconstruction for retrospectively gated cardiac micro-CT,” Medical Physics, vol. 34, no. 11, pp. 4476–4483, 2007.
[26]  X. Guo, S. M. Johnston, Y. Qi, G. A. Johnson, and C. T. Badea, “4D micro-CT using fast prospective gating,” Physics in Medicine and Biology, vol. 57, no. 1, pp. 257–271, 2012.
[27]  E. L. Jackson, K. P. Olive, D. A. Tuveson et al., “The differential effects of mutant p53 alleles on advanced murine lung cancer,” Cancer Research, vol. 65, no. 22, pp. 10280–10288, 2005.
[28]  C. T. Badea, A. W. Wetzel, N. Mistry, S. Pomerantz, D. Nave, and G. A. Johnson, “Left ventricle volume measurements in cardiac micro-CT: the impact of radiation dose and contrast agent,” Computerized Medical Imaging and Graphics, vol. 32, no. 3, pp. 239–250, 2008.

Full-Text

comments powered by Disqus

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133

WeChat 1538708413