Model-based iterative reconstruction in pediatric chest CT: assessment of image quality in a prospective study of children with cystic fibrosis

BackgroundThe potential effects of ionizing radiation are of particular concern in children. The model-based iterative reconstruction VEOTM is a technique commercialized to improve image quality and reduce noise compared with the filtered back-projection (FBP) method.ObjectiveTo evaluate the potential of VEOTM on diagnostic image quality and dose reduction in pediatric chest CT examinations.Materials and methodsTwenty children (mean 11.4 years) with cystic fibrosis underwent either a standard CT or a moderately reduced-dose CT plus a minimum-dose CT performed at 100 kVp. Reduced-dose CT examinations consisted of two consecutive acquisitions: one moderately reduced-dose CT with increased noise index (NI = 70) and one minimum-dose CT at CTDIvol 0.14 mGy. Standard CTs were reconstructed using the FBP method while low-dose CTs were reconstructed using FBP and VEO. Two senior radiologists evaluated diagnostic image quality independently by scoring anatomical structures using a four-point scale (1 = excellent, 2 = clear, 3 = diminished, 4 = non-diagnostic). Standard deviation (SD) and signal-to-noise ratio (SNR) were also computed.ResultsAt moderately reduced doses, VEO images had significantly lower SD (P < 0.001) and higher SNR (P < 0.05) in comparison to filtered back-projection images. Further improvements were obtained at minimum-dose CT. The best diagnostic image quality was obtained with VEO at minimum-dose CT for the small structures (subpleural vessels and lung fissures) (P < 0.001). The potential for dose reduction was dependent on the diagnostic task because of the modification of the image texture produced by this reconstruction.ConclusionsAt minimum-dose CT, VEO enables important dose reduction depending on the clinical indication and makes visible certain small structures that were not perceptible with filtered back-projection.

[1]  Giang Nguyen,et al.  A prospective evaluation of dose reduction and image quality in chest CT using adaptive statistical iterative reconstruction. , 2010, AJR. American journal of roentgenology.

[2]  J. Remy,et al.  Chest computed tomography using iterative reconstruction vs filtered back projection (Part 1): evaluation of image noise reduction in 32 patients , 2011, European Radiology.

[3]  Alvin C. Silva,et al.  Iterative Reconstruction Technique for Reducing Body Radiation Dose at Ct: Feasibility Study Hara Et Al. Ct Iterative Reconstruction Technique Gastrointestinal Imaging Original Research , 2022 .

[4]  Jiang Hsieh,et al.  Abdominal CT: comparison of adaptive statistical iterative and filtered back projection reconstruction techniques. , 2010, Radiology.

[5]  Yukiko Shimizu,et al.  Studies of the Mortality of Atomic Bomb Survivors.Report 12, Part I. Cancer: 1950–1990 , 2012, Radiation research.

[6]  Alvin C. Silva,et al.  Reducing the radiation dose for CT colonography using adaptive statistical iterative reconstruction: A pilot study. , 2010, AJR. American journal of roentgenology.

[7]  D A Pierce,et al.  Studies of the mortality of atomic bomb survivors. Report 12, Part I. Cancer: 1950-1990. , 1996, Radiation research.

[8]  W. Kalender,et al.  Multisection CT protocols: sex- and age-specific conversion factors used to determine effective dose from dose-length product. , 2010, Radiology.

[9]  John M Boone,et al.  Dose reduction in pediatric CT: a rational approach. , 2003, Radiology.

[10]  Qu Liang,et al.  The United Nations Scientific Committee on the Effects of Atomic Radiation , 1965, Nature.

[11]  D. Brenner,et al.  Estimated risks of radiation-induced fatal cancer from pediatric CT. , 2001, AJR. American journal of roentgenology.

[12]  M. Kalra,et al.  Radiation Dose Reduction With Chest Computed Tomography Using Adaptive Statistical Iterative Reconstruction Technique: Initial Experience , 2010, Journal of computer assisted tomography.

[13]  F. Gudinchet,et al.  Paediatric cardiac CT examinations: impact of the iterative reconstruction method ASIR on image quality – preliminary findings , 2011, Pediatric Radiology.

[14]  E. Samei,et al.  Low-tube-voltage, high-tube-current multidetector abdominal CT: improved image quality and decreased radiation dose with adaptive statistical iterative reconstruction algorithm--initial clinical experience. , 2010, Radiology.

[15]  Jiang Hsieh,et al.  Adaptive statistical iterative reconstruction technique for radiation dose reduction in chest CT: a pilot study. , 2011, Radiology.

[16]  Jean-Baptiste Thibault,et al.  A three-dimensional statistical approach to improved image quality for multislice helical CT. , 2007, Medical physics.

[17]  岩崎 民子 SOURCES AND EFFECTS OF IONIZING RADIATION : United Nations Scientific Committee on the Effects of Atomic Radiation UNSCEAR 2000 Report to the General Assembly, with Scientific Annexes , 2002 .

[18]  D. Brenner,et al.  Computed tomography--an increasing source of radiation exposure. , 2007, The New England journal of medicine.

[19]  William Pavlicek,et al.  Abdominal CT: comparison of low-dose CT with adaptive statistical iterative reconstruction and routine-dose CT with filtered back projection in 53 patients. , 2010, AJR. American journal of roentgenology.

[20]  C. McCollough,et al.  CT dose reduction and dose management tools: overview of available options. , 2006, Radiographics : a review publication of the Radiological Society of North America, Inc.

[21]  R. Wu,et al.  Radiation dose of non-enhanced chest CT can be reduced 40% by using iterative reconstruction in image space. , 2011, Clinical radiology.

[22]  Alvin C. Silva,et al.  Innovations in CT dose reduction strategy: application of the adaptive statistical iterative reconstruction algorithm. , 2010, AJR. American journal of roentgenology.

[23]  Greta Toncheva,et al.  Pediatric chest MDCT using tube current modulation: effect on radiation dose with breast shielding. , 2008, AJR. American journal of roentgenology.

[24]  J. Remy,et al.  Chest computed tomography using iterative reconstruction vs filtered back projection (Part 2): image quality of low-dose CT examinations in 80 patients , 2011, European Radiology.

[25]  Rebecca S Lewis,et al.  Projected cancer risks from computed tomographic scans performed in the United States in 2007. , 2009, Archives of internal medicine.

[26]  S. Standard GUIDE TO THE EXPRESSION OF UNCERTAINTY IN MEASUREMENT , 2006 .

[27]  M. Gunn,et al.  State of the art: technologies for computed tomography dose reduction , 2010, Emergency Radiology.

[28]  Michael Sandborg,et al.  Comparison of two methods for evaluation of image quality of lumbar spine radiographs , 2004, SPIE Medical Imaging.

[29]  J. Leipsic,et al.  Adaptive statistical iterative reconstruction: assessment of image noise and image quality in coronary CT angiography. , 2010, AJR. American journal of roentgenology.

[30]  Francis R Verdun,et al.  Iterative reconstruction methods in two different MDCT scanners: physical metrics and 4-alternative forced-choice detectability experiments--a phantom approach. , 2013, Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics.