title: Influence of sinogram affirmed iterative reconstruction of CT data on image noise characteristics and low-contrast detectability: an objective approach.
abstract: OBJECTIVE
  To utilize a novel objective approach combining a software phantom and an image quality metric to systematically evaluate the influence of sinogram affirmed iterative reconstruction (SAFIRE) of multidetector computed tomography (MDCT) data on image noise characteristics and low-contrast detectability (LCD).
  
  
  METHODS
  A low-contrast and a high-contrast phantom were examined on a 128-slice scanner at different dose levels. The datasets were reconstructed using filtered back projection (FBP) and SAFIRE and virtual low-contrast lesions (-20HU) were inserted. LCD was evaluated using the multiscale structural similarity index (MS-SIM*). Image noise texture and spatial resolution were objectively evaluated.
  
  
  RESULTS
  The use of SAFIRE led to an improvement of LCD for all dose levels and lesions sizes. The relative improvement of LCD was inversely related to the dose level, declining from 208%(±37%), 259%(±30%) and 309%(±35%) at 25mAs to 106%(±6%), 119%(±9%) and 123%(±8%) at 200mAs for SAFIRE filter strengths of 1, 3 and 5 (p<0.05). SAFIRE reached at least the LCD of FBP at a relative dose of 50%. There was no statistically significant difference in spatial resolution. The use of SAFIRE led to coarser image noise granularity.
  
  
  CONCLUSIONS
  A novel objective approach combining a software phantom and the MS-SSIM* image quality metric was used to analyze the detectability of virtual low-contrast lesions against the background of image noise as created using SAFIRE in comparison to filtered back-projection. We found, that image noise characteristics using SAFIRE at 50% dose were comparable to the use of FBP at 100% dose with respect to lesion detectability. The unfamiliar imaging appearance of iteratively reconstructed datasets may in part be explained by a different, coarser noise characteristic as demonstrated by a granulometric analysis.
authors.affiliation: Department of Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany. Falck.Christian.von@mh-hannover.de
authors.forename: Christian
authors.initials: C
authors.lastname: von Falck
authors.forename: Vesela
authors.initials: V
authors.lastname: Bratanova
authors.forename: Thomas
authors.initials: T
authors.lastname: Rodt
authors.forename: Bernhard
authors.initials: B
authors.lastname: Meyer
authors.forename: Stephan
authors.initials: S
authors.lastname: Waldeck
authors.forename: Frank
authors.initials: F
authors.lastname: Wacker
authors.forename: Hoen-oh
authors.initials: HO
authors.lastname: Shin
mesh_terms: D019047:Phantoms, Imaging; D011829:Radiation Dosage; D011857:Radiographic Image Interpretation, Computer-Assisted; D012680:Sensitivity and Specificity; D014057:Tomography, X-Ray Computed / Q000295:instrumentation / Q000379:methods