Impact of a 4th Generation Iterative Reconstruction Technique on Image Quality in Low-Dose Computed Tomography of the Chest in Immunocompromised Patients

PURPOSE To determine the image quality of an iterative reconstruction (IR) technique in low-dose MDCT (LDCT) of the chest of immunocompromised patients in an intraindividual comparison to filtered back projection (FBP) and to evaluate the dose reduction capability. MATERIALS AND METHODS 30 chest LDCT scans were performed in immunocompromised patients (Brilliance iCT; 20-40 mAs; mean CTDIvol: 1.7 mGy). The raw data were reconstructed using FBP and the IR technique (iDose4™, Philips, Best, The Netherlands) set to seven iteration levels. 30 routine-dose MDCT (RDCT) reconstructed with FBP served as controls (mean exposure: 116 mAs; mean CDTIvol: 7.6 mGy). Three blinded radiologists scored subjective image quality and lesion conspicuity. Quantitative parameters including CT attenuation and objective image noise (OIN) were determined. RESULTS In LDCT high iDose4™ levels lead to a significant decrease in OIN (FBP vs. iDose7: subscapular muscle 139.4 vs. 40.6 HU). The high iDose4™ levels provided significant improvements in image quality and artifact and noise reduction compared to LDCT FBP images. The conspicuity of subtle lesions was limited in LDCT FBP images. It significantly improved with high iDose4™ levels (> iDose4). LDCT with iDose4™ level 6 was determined to be of equivalent image quality as RDCT with FBP. CONCLUSION iDose4™ substantially improves image quality and lesion conspicuity and reduces noise in low-dose chest CT. Compared to RDCT, high iDose4™ levels provide equivalent image quality in LDCT, hence suggesting a potential dose reduction of almost 80%.

[1]  M. Boeckh,et al.  Influenza infections after hematopoietic stem cell transplantation: risk factors, mortality, and the effect of antiviral therapy. , 2004, Clinical infectious diseases : an official publication of the Infectious Diseases Society of America.

[2]  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 .

[3]  H. Kauczor,et al.  Early detection of pneumonia in febrile neutropenic patients: use of thin-section CT. , 1997, AJR. American journal of roentgenology.

[4]  Michael J Pentecost,et al.  American College of Radiology white paper on radiation dose in medicine. , 2007, Journal of the American College of Radiology : JACR.

[5]  M. Reiser,et al.  Evaluation der Strahlendosis bei Polytrauma-CT-Untersuchungen eines 64-Zeilen-CT im Vergleich zur 4-Zeilen-CT , 2012, Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren.

[6]  Hochauflösende Computertomographie der Lunge bei neutropenischen Patienten mit Fieber , 1996 .

[7]  Ultra low-dose helical CT of the chest. , 1998, AJR. American journal of roentgenology.

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

[9]  J H Siewerdsen,et al.  The reduction of image noise and streak artifact in the thoracic inlet during low dose and ultra-low dose thoracic CT , 2010, Physics in medicine and biology.

[10]  C. Schaefer-Prokop,et al.  Pulmonary infections in the late period after allogeneic bone marrow transplantation: chest radiography versus computed tomography. , 2005, European journal of radiology.

[11]  H. Nagel,et al.  CT-Expositionspraxis in der Bundesrepublik Deutschland , 2001 .

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

[13]  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.

[14]  Effect of iterative reconstruction techniques on image texture , 2011 .

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

[16]  R Proksa,et al.  Noise and resolution in images reconstructed with FBP and OSC algorithms for CT. , 2007, Medical physics.

[17]  Ernst J Rummeny,et al.  Initial performance characterization of a clinical noise-suppressing reconstruction algorithm for MDCT. , 2011, AJR. American journal of roentgenology.

[18]  Takeshi Johkoh,et al.  Reduced radiation dose helical chest CT: effect on reader evaluation of structures and lung findings. , 2004, Radiology.

[19]  N. Müller,et al.  Viral Pneumonia After Hematopoietic Stem Cell Transplantation: High-Resolution CT Findings , 2007, Journal of thoracic imaging.

[20]  Alberto Hidalgo,et al.  Thin-section CT findings in hematopoietic stem cell transplantation recipients with respiratory virus pneumonia. , 2006, AJR. American journal of roentgenology.

[21]  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.

[22]  A. Shorr,et al.  Pulmonary infiltrates in the non-HIV-infected immunocompromised patient: etiologies, diagnostic strategies, and outcomes. , 2004, Chest.

[23]  M. Boeckh The challenge of respiratory virus infections in hematopoietic cell transplant recipients , 2008, British journal of haematology.

[24]  N. Müller,et al.  Detection and differential diagnosis of pulmonary infections and tumors in patients with AIDS: value of chest radiography versus CT. , 1996, AJR. American journal of roentgenology.

[25]  S. Primack,et al.  High-resolution CT: normal anatomy, techniques, and pitfalls. , 2001, Radiologic clinics of North America.

[26]  T. Cimilli,et al.  The role of HRCT versus CXR in children with recurrent pulmonary infections. , 2005, Clinical imaging.

[27]  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.