全模型迭代重建在头颈部CT血管成像中的应用
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摘要
全模型迭代重建(IMR)在重建过程中建立图像统计模型和数据统计模型,通过反复进行扫描模型与采集数据之间的差异对比校正,实现影像最优化。头颈部CT血管成像采用IMR技术能显著降低影像噪声、提高影像信噪比和对比噪声比,可增强对脑动脉硬化和动脉瘤的诊断信心;还能提高对早期缺血性卒中动脉致密征检出的敏感度、大幅降低CT灌注的辐射剂量、减少CT血管成像对比剂用量以及降低病人的碘负荷。综述IMR技术在头颈部CT血管成像中的应用进展。
Iterative model reconstruction(IMR) establishes image statistics and data statistics models during its iterative cycle and achieves image optimization by repeatedly correcting the differences between scan model and acquired data. IMR can significantly reduce image noise, improve image signal-to-noise ratio and contrast-to-noise ratio for head and neck CTA, and increase the diagnostic confidence of atherosclerosis and aneurysm. IMR can also increase sensitivity in detecting hyperdense artery sign in the early ischemic stroke, significantly reduce the radiation dose in CT perfusion and the iodine load of patients. In this paper, the progress of application of iterative model reconstruction technology in head and neck CT angiography was reviewed.
Iterative model reconstruction(IMR) establishes image statistics and data statistics models during its iterative cycle and achieves image optimization by repeatedly correcting the differences between scan model and acquired data. IMR can significantly reduce image noise, improve image signal-to-noise ratio and contrast-to-noise ratio for head and neck CTA, and increase the diagnostic confidence of atherosclerosis and aneurysm. IMR can also increase sensitivity in detecting hyperdense artery sign in the early ischemic stroke, significantly reduce the radiation dose in CT perfusion and the iodine load of patients. In this paper, the progress of application of iterative model reconstruction technology in head and neck CT angiography was reviewed.
引文
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[25]蔡武,胡春洪,王希明,等.“四低”联合自动管电流调节和全模型迭代重建技术在头颈部CT血管成像中的应用[J].中华医学杂志,2018,98:30-35.
[26]Lombardi S,Riva L,Patassini M,et al."Hyperdense artery sign"in early ischemic stroke:diagnostic value of model-based reconstruction approach in comparison with standard hybrid iterative reconstruction algorithm[J].Neuroradiology,2018,60:1273-1280.
[27]张云,蔡武,龚建平,等.低剂量脑CT灌注成像联合IMR的图像质量评价[J].实用放射学杂志,2017,33:1447-1450,1461.
[28]Cheng B,Xing H,Lei D,et al.Impact of iterative model reconstruction combined with dose reduction on the image quality of head and neck CTA in children[J].Sci Rep,2018,8:12613.
[29]Annoni AD,Montorsi P,Andreini D,et al.Submillisievert CT angiography for carotid arteries using wide array CT scanner and latest iterative reconstruction algorithm in comparison with previous generations technologies:feasibility and diagnostic accuracy[J].J Cardiovasc Comput Tomogr,2019.DOI:10.1016/j.jcct.2019.01.009.
[2]Diego L,Atul P,Kalra MK,et al.Tube potential and CT radiation dose optimization[J].AJR,2015,204:4-10.
[3]Leipsic J,Nguyen G,Brown J,et al.A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction[J].AJR,2010,195:1095.
[4]Willemink MJ,de Jong PA,Leiner T,et al.Iterative reconstruction techniques for computed tomography Part 1:technical principles[J].Eur Radiol,2013,23:1623-1631.
[5]Atul P,Ranish Deedar AK,Kalra MK,et al.CT radiation dose and iterative reconstruction techniques[J].AJR,2015,204:384-392.
[6]张洪,马延贺,吕军,等.低浓度对比剂、低管电压结合迭代重建在CT冠状动脉成像检查中的临床价值[J].国际医学放射学杂志,2017,40:661-665.
[7]Yan C,Xu J,Liang C,et al.Radiation dose reduction by using CTwith iterative model reconstruction in patients with pulmonary invasive fungal infection[J].Radiology,2018,288:285-292.
[8]Iyama Y,Nakaura T,Iyama A,et al.Feasibility of iterative model reconstruction for unenhanced lumbar CT[J].Radiology,2017,284:153-160.
[9]Stiller W.Basics of iterative reconstruction methods in computed tomography:a vendor-independent overview[J].Eur J Radiol,2018,109:147-154.
[10]Geyer LL,Schoepf UJ,Meinel FG,et al.State of the art:iterative CTreconstruction techniques[J].Radiology,2015,276:339-357.
[11]Mehta D,Thompson R,Morton T,et al.Iterative model reconstruction:simultaneously lowered computed tomography radiation dose and improved image quality[J].Med Phys Int,2013,2:147-155.
[12]Willemink MJ,Leiner T,de Jong PA,et al.Iterative reconstruction techniques for computed tomography part 2:initial results in dose reduction and image quality[J].Eur Radiol,2013,23:1632-1642.
[13]Niesten JM,Schaaf ICVD,Vos PC,et al.Improving head and neck CTA with hybrid and model-based iterative reconstruction techniques[J].Clin Radiol,2015,70:1252-1259.
[14]Ryu YJ,Choi YH,Cheon JE,et al.Knowledge-based iterative model reconstruction:comparative image quality and radiation dose with a pediatric computed tomography phantom[J].Pediatr Radiol,2016,46:303-315.
[15]Andre F,Fortner P,Vembar M,et al.Improved image quality with simultaneously reduced radiation exposure:knowledge-based iterative model reconstruction algorithms for coronary CT angiography in a clinical setting[J].J Cardiovasc Comput Tomogr,2017,11:213-220.
[16]Park IK,Park J,Kim TH,et al.Non-inferior low-dose coronary computed tomography angiography image quality with knowledge-based iterative model reconstruction for overweight patients[J].PLoS One,2018,13:e0209243.
[17]Qian WL,Zhou DJ,Jiang Y,et al.Ultra-low radiation dose CT angiography of the lower extremity using the iterative model reconstruction(IMR)algorithm[J].Clin Radiol,2018,73:985.e913-985.e919.
[18]Iyama Y,Nakaura T,Yokoyama K,et al.Impact of knowledge-based iterative model reconstruction in abdominal dynamic CT with low tube voltage and low contrast dose[J].AJR,2017,206:687-693.
[19]Qin L,Ma Z,Yan F,et al.Iterative model reconstruction(IMR)algorithm for reduced radiation dose renal artery CT angiography with different tube voltage protocols[J].Radiol Med,2018,123:83-90.
[20]Oda S,Utsunomiya D,Funama Y,et al.A knowledge-based iterative model reconstruction algorithm:can super-low-dose cardiac CT be applicable in clinical settings[J].Acad Radiol,2014,21:104-110.
[21]Wang X,Zhu C,Li J,et al.Knowledge-based iterative model reconstruction:comparative image quality with low tube voltage cerebral CT angiography[J].Medicine(Baltimore),2018,97:e11514.
[22]高思喆,张斌,赵福新,等.基于全模型迭代重组算法(IMR)在头颈联合动脉CTA双低扫描中的应用[J].中国临床医学影像杂志,2017,28:64-67.
[23]杨尚文,邵明冉,杨献峰,等.“三低”技术联合全模型迭代重建算法在头颈部CT血管成像中的可行性研究[J].中华放射医学与防护杂志,2017,37:62-67.
[24]Cai W,Hu C,Hu S,et al.Feasibility study of iterative model reconstruction combined with low tube voltage,low iodine load,and low iodine delivery rate in craniocervical CT angiography[J].Clin Radiol,2017,73:217.e211.
[25]蔡武,胡春洪,王希明,等.“四低”联合自动管电流调节和全模型迭代重建技术在头颈部CT血管成像中的应用[J].中华医学杂志,2018,98:30-35.
[26]Lombardi S,Riva L,Patassini M,et al."Hyperdense artery sign"in early ischemic stroke:diagnostic value of model-based reconstruction approach in comparison with standard hybrid iterative reconstruction algorithm[J].Neuroradiology,2018,60:1273-1280.
[27]张云,蔡武,龚建平,等.低剂量脑CT灌注成像联合IMR的图像质量评价[J].实用放射学杂志,2017,33:1447-1450,1461.
[28]Cheng B,Xing H,Lei D,et al.Impact of iterative model reconstruction combined with dose reduction on the image quality of head and neck CTA in children[J].Sci Rep,2018,8:12613.
[29]Annoni AD,Montorsi P,Andreini D,et al.Submillisievert CT angiography for carotid arteries using wide array CT scanner and latest iterative reconstruction algorithm in comparison with previous generations technologies:feasibility and diagnostic accuracy[J].J Cardiovasc Comput Tomogr,2019.DOI:10.1016/j.jcct.2019.01.009.