Pulmonary emphysema quantification on ultra-low-dose CT using model-based iterative reconstruction

doi:10.3969/j.issn.2095-4344.1116

Abstract

Abstract:

BACKGROUND: With the development of instruments and algorithm, the newest model-based iterative reconstruction with lung parameter setting can provide the high resolution image of lung tissues.
OBJECTIVE: To evaluate the influence of model-based iterative reconstruction with lung parameters and conventional parameters on pulmonary emphysema quantification by ultra-low-dose CT compared with standard-dose CT.
METHODS: Forty-five patients who underwent ultra-low-dose CT and standard-dose CT (6.66±2.69) mSv were analyzed retrospectively. Images were reconstructed by using filtered back projection with smooth and sharp kernels and model-based iterative reconstruction with conventional and lung parameters settings. Extent of emphysema was evaluated using fully automated software. Correlation between ultra-low-dose CT and standard-dose CT was assessed by intra-class correlation coefficient and Bland-Altman analysis.
RESULTS AND CONCLUSION: The radiation dosage of ultra-low-dose CT was (0.18±0.02) mSv, which was significantly lower than that of the standard-dose CT. Excellent correlation was seen between model-based iterative reconstruction with conventional parameter setting on ultra-low-dose CT and filtered back projection with smooth kernel on standard-dose CT (intra-class correlation coefficient=0.97; bias=-0.31%) and between model-based iterative reconstruction with lung parameter setting on ultra-low-dose CT and filtered back projection with sharp kernel on standard-dose CT (intra-class correlation coefficient=0.82; bias=-2.10%). To conclude, model-based iterative reconstruction improved the agreement between ultra-low-dose CT and standard-dose CT on emphysema quantification.

中国组织工程研究杂志出版内容重点：组织构建；骨细胞；软骨细胞；细胞培养；成纤维细胞；血管内皮细胞；骨质疏松；组织工程

Key words: CT, pulmonary emphysema, radiation dosage, image reconstruction, tissue construction

CLC Number:

R445

Zhang Jinhui1, Zhong Shiyu2. Pulmonary emphysema quantification on ultra-low-dose CT using model-based iterative reconstruction[J]. Chinese Journal of Tissue Engineering Research, 2019, 23(19): 3062-3066.

Figures/Tables 3

References

[1] 李红梅,李平. 多原发恶性肿瘤的病因和发病机制的探讨[J]. 华西医学, 2016(05):991-995.

[2] 董继伟. CT迭代重建技术原理及其研究进展[J].中国医学装备, 2016, 13(10):128-133.

[3] Padole A, Ali KR, Kalra MK, et al. CT radiation dose and iterative reconstruction techniques. AJR Am J Roentgenol. 2015;204(4): W384-W392.

[4] Yokomachi K, Tatsugami F, Higaki T, et al. Neointimal formation after carotid artery stenting: phantom and clinical evaluation of model-based iterative reconstruction (MBIR). Eur Radiol. 2018 Jun 22.

[5] 牟灿,阳明明. 基于CT影像的胸腰椎爆裂骨折治疗临床应用研究[J]. 基因组学与应用生物学, 2018,37(3):1124-1130.

[6] Ostridge K, Williams NP, Kim V, et al. Relationship of CT-quantified emphysema, small airways disease and bronchial wall dimensions with physiological, inflammatory and infective measures in COPD. Respir Res.2018;19(1):31.

[7] 贾永军,于楠,杨创勃,等. 新一代基于模型的迭代重建中肺特异性设置在提高胸部CT图像质量中的应用价值[J]. 中国中西医结合影像学杂志, 2017,15(5):551-555.

[8] Kim C, Lee KY, Shin C, et al. Comparison of Filtered Back Projection, Hybrid Iterative Reconstruction, Model-Based Iterative Reconstruction, and Virtual Monoenergetic Reconstruction Images at Both Low- and Standard-Dose Settings in Measurement of Emphysema Volume and Airway Wall Thickness: A CT Phantom Study. Korean J Radiol.2018; 19(4):809-817.

[9] Al-Ekrish AA, Alfadda SA, Tamimi D, et al. Do Ultra-Low Multidetector Computed Tomography Doses and Iterative Reconstruction Techniques Affect Subjective Classification of Bone Type at Dental Implant Sites?. Int J Prosthodont. 2018; 31(5):465-470.

[10] 王新莲,贺文. 腹盆部低剂量CT扫描的临床应用进展[J]. 放射学实践, 2017,32(7):761-766.

[11] Fujita M, Higaki T, Awaya Y, et al. Lung cancer screening with ultra-low dose CT using full iterative reconstruction. Jpn J Radiol. 2017;35(4): 179-189.

[12] Nishio M, Koyama H, Ohno Y, et al. Emphysema Quantification Using Ultralow-Dose CT With Iterative Reconstruction and Filtered Back Projection. AJR Am J Roentgenol.2016;206(6):1184-1192.

[13] Kim HJ, Yoo S Y, Jeon T Y, et al. Model-based iterative reconstruction in ultra-low-dose pediatric chest CT: comparison with adaptive statistical iterative reconstruction. Clin Imaging. 2016;40(5):1018-1022.

[14] Ju YH, Lee G, Lee J W, et al. Ultra-low-dose lung screening CT with model-based iterative reconstruction: an assessment of image quality and lesion conspicuity. Acta Radiol.2018;59(5): 553-559.

[15] Messerli M, Ottilinger T, Warschkow R, et al. Emphysema quantification and lung volumetry in chest X-ray equivalent ultralow dose CT - Intra-individual comparison with standard dose CT. Eur J Radiol. 2017,91:1-9.