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...

Extracting 3D Angiography Data from Simulated Computed Tomography Angiography Scans Using Low Iodine Contrast Agent

DOI: 10.4236/ijmpcero.2022.113012, PP. 135-149

Keywords: GEANT4 Simulation, Computed Tomography Angiography, Iodine Con-trast Agent

Full-Text   Cite this paper   Add to My Lib

Abstract:

The purpose of this research is to investigate the feasibility of using low contrast agent concentration with X-ray computed tomography in visualizing and diagnosing the human vascular system while minimizing the risk of toxicity to the patient. This research investigated the effect of several iodine contrast agent concentrations on the ability to extract and visualize human vessels using simulated computed tomography scans. Monte Carlo simulation was used to perform these computed tomography acquisitions. The simulated patient was based on actual computed tomography angiography data, where a technique was developed to simulate brain vessels with contrast agents ranging from 0 mg to 20 mg of iodine. The simulation used segmented patient data along with basic image processing techniques to model the various levels of iodine concentrations. Cone beam computed tomography projections of a patient injected with and without iodine were acquired in the simulations. Subtraction of the corresponding projections was performed to generate images caused by the contrast agent. Then, histogram analysis of these differences was used to assess the validity of extracting and visualizing the human vessels. The smallest amount of iodine, 0.5 mg, helped better visualize the brain vessels and 2 mg of iodine was high enough to show almost 90% of the vessels. Additionally, the vessels were clearly visible in all the subtracted images. This research showed very promising outcomes in using low concentrations of iodine. Thus, this study proposes for the pharmaceutical companies and others interested to clinically investigate and evaluate the efficacy of using low concentrations of iodine and the associated side effects.

References

[1]  Smirniotopoulos, J.G., Murphy, F.M., Rushing, E.J., Rees, J.H. and Schroeder, J.W. (2007) Patterns of Contrast Enhancement in the Brain and Meninges. RadioGraphics, 27, 525-551.
[2]  Alyassin, A.M. (2009) Obstacle Exclusion from X-Ray CT Angiography Data for 3D Image Diagnosis. Jordan Journal of Physics, 2, 59-72.
[3]  Kuszyk, B.S., Heath, D.G., Bliss, D.F. and Fishman, E.K. (1996) Skeletal 3-D CT: Advantages of Volume Rendering overs Surface Rendering. Skeletal Radiology, 25, 207-214.
[4]  Lorensen, W. and Cline, H. (1998) Marching Cubes: A High Resolution 3D Surface Construction Algorithm. ACM Computer Graphics, 21, 163-169.
[5]  Alyassin, A.M., Lancaster, J.L., Downs, J.H. and Fox, P.T. (1994) Evaluation of New Algorithms for the Interactive Measurement of Surface Area and Volume. Medical Physics, 21, 741-752.
[6]  Shiffman, S., Rubin, G.D. and Napel, S. (1996) Semiautomated Editing of Computed Tomography Sections for Visualization of Vasculature. Proceedings of the SPIE, 2707, 140-151.
[7]  van der Heyden, B., Wohlfahrt, P., Eekers, D.B.P., Richter, C., Terhaag, K., Troost, E.G.C. and Verhaegen, F. (2019) Dual-Energy CT for Automatic Organs-at-Risk Segmentation in Brain-Tumor Patients Using a Multi-Atlas and Deep-Learning Approach. Scientific Reports, 9, Article No. 4126.
https://doi.org/10.1038/s41598-019-40584-9
[8]  Bani-Hashemi, A., Krishnan, A. and Samaddar, S. (1996) Warped Matching for Digital Subtraction of CT-Angiography Studies. Proceedings of the SPIE, 2710, 428-437.
[9]  Boonn, W.W., Litt, H.I. and Charagundla, S.R. (2007) Optimizing Contrast Injection for Coronary CT Angiography and Functional Cardiac CT. Applied Radiology, 36, 51-57.
[10]  Kariyanna, P.T., Aurora, L., Jayarangaiah, A., Das, S., Gonzalez, J.C., Hegde, S. and McFarlane, I.M. (2020) Neurotoxicity Associated with Radiological Contrast Agents Used during Coronary Angiography: A Systematic Review. American Journal of Medical Case Reports, 8, 60-66.
https://doi.org/10.12691/ajmcr-8-2-6
[11]  Sarrut, D., et al. (2021) Advanced Monte Carlo Simulations of Emission Tomography Imaging Systems with GATE. Physics in Medicine & Biology, 66, 10TR03.
https://doi.org/10.1088/1361-6560/abf276
[12]  Sarrut, D., Bardiès, M., Boussion, N., et al. (2014) A Review of the Use and Potential of the GATE Monte Carlo Simulation Code for Radiation Therapy and Dosimetry Applications. Medical Physics, 41, 64301.
https://doi.org/10.1118/1.4871617
[13]  Morris, R., Lakshmanan, M., Fong, G., Kapadia, A. and Greenberg, J. (2016) Coded Aperture Coherent Scatter Spectral Imaging of the Breast: A Monte Carlo Evaluation of Absorbed Dose. Medical Physics, 43, 3398-3399.
[14]  Tirao, G., Quintana, C. and Valente, M. (2010) Mammography Image Quality Optimisation: A Monte Carlo Study. International Journal of Low Radiation, 7, 276-297.
https://doi.org/10.1504/IJLR.2010.034916
[15]  Taha, E.M. and Alyassin, A.M. (2016) Feasibility of a Novel Gamma Radiography Mammo System. Insights in Medical Physics, 1, 1-8.
[16]  Taha, E.M., Alhawsawi, A., Siddig, M. and Balamesh, A.S. (2021) Exposure Determination in Gamma-Ray Radiography for Mammography Applications. Arabian Journal for Science and Engineering, 47, 7583-7591.
[17]  Abolaban, F.A. and Taha, E.M. (2020) Representation and Illustration of the Initial Parameters in GATE 8.1 Monte Carlo Simulation of an Elekta Versa-HD Linear Accelerator. Journal of Radiation Research and Applied Sciences, 13, 642-647.
[18]  ACR Committee on Drugs and Contrast Media (2021) ACR Manual on Contrast Media. American College of Radiology, Reston.
[19]  Bae, K.T. (2010) Intravenous Contrast Medium Administration and Scan Timing at CT: Considerations and Approaches. Radiology, 256, 3261.
[20]  Abbani, N., et al. (2018) OpenGATE Collaboration vGate Software Package Version 8.1.
https://opengate.readthedocs.io/en/latest/vgate.html
[21]  Cajgfinger, T., Rit, S., Létang, J.M., Halty, A. and Sarrut, D. (2018) Fixed Forced Detection for Fast SPECT Monte-Carlo Simulation. Physics in Medicine and Biology, 63, Article ID: 055011.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133