Application in head-neck CTA based on IMR with low tube voltage and low rate injection of contrast medium

GAO Si-zhe; ZHANG Bin; ZHAO Fu-xin; GUO Wen-li

Journal of China Clinic Medical Imaging ›› 2017, Vol. 28 ›› Issue (1) : 64-67.

GAO Si-zhe, ZHANG Bin, ZHAO Fu-xin, GUO Wen-li

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Objective: To investigate the clinical use of 256-slice spiral CT in the diagnosis of head and neck artery disease in CTA combined with low-tube-voltage and low rate injection of contrast medium by IMR reconstruction. Methods: Sixty patients who would perform head-neck CTA were enrolled and divided into two groups randomly. CTA was performed in group A using normal tube voltage(120 kV) and normal injection rate of contrast medium(5 mL/s) by iDose4 reconstruction. Group B received CTA by low-tube-voltage(100 kV) and low injection rate of contrast medium(4 mL/s) with IMR reconstruction. Quantitative measurements of CT value, image noise and contrast-to-noise ratio(CNR) were measured in either group. The t-test was used to compare objective evaluation indices(noise, CNR) and radiation dosage between the two groups. χ2-test was used to compare subjective evaluation of image quality(contrast, sharpness and subjective noise) between the two groups. A level of P＜0.05 was considered statistically significant. Results: There were significant differences in objective noise and CNR between the two groups(P＜0.01). Group B showed better subjective image quality. Compared to group A, group B showed better subjective scores of contrast and noise, and slightly worse score of sharpness with no significence(P>0.05). The effective dose(ED) of group B((0.84±0.03) mSv) was 41% lower compared to group A((1.43±0.06) mSv). Conclusion: Compared with iDose4, iterative model reconstruction technique can provide 41% ED reduction in head-neck CTA by 256 MSCT with satisfactory image quality.

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GAO Si-zhe, ZHANG Bin, ZHAO Fu-xin, GUO Wen-li. Application in head-neck CTA based on IMR with low tube voltage and low rate injection of contrast medium[J]. Journal of China Clinic Medical Imaging. 2017, 28(1): 64-67

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