Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques

Singh, Sarabjeet; Kalra, Mannudeep K.; Hsieh, Jiang; Licato, Paul; Do, Synho; Pien, Homer; Blake, Michael A.

doi:10.1148/radiol.10092212

Cited by 406 publications

(271 citation statements)

References 23 publications

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“…Toshiba had a more coarse noise pattern than GE for the small phantoms tested, which might also support the radiologist's impressions of the images as the Toshiba scanner was installed in the hospital. These findings are also supported by Singh et al (12) …”

Section: Discussionsupporting

confidence: 85%

Image texture and radiation dose properties in CT

Mozejko

Andersen

Pedersen

et al. 2016

J Applied Clin Med Phys

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The aim of this study was to compare image noise properties of GE Discovery HD 750 and Toshiba Aquilion ONE. The uniformity section of a Catphan 600 image quality assurance phantom was scanned with both scanners, at different dose levels and with extension rings simulating patients of different sizes. 36 datasets were obtained and analyzed in terms of noise power spectrum. All the results prove that introduction of extension rings significantly altered the image quality with respect to noise properties. Without extension rings, the Toshiba scanner had lower total visible noise than GE (with GE as reference: FC18 had 82% and FC08 had 80% for 10 mGy, FC18 had 77% and FC08 74% for 15 mGy, FC18 had 80% and FC08 77% for 20 mGy). The total visible noise (TVN) for 20 and 15 mGy were similar for the phantom with the smallest additional extension ring, while Toshiba had higher TVN than GE for the 10 mGy dose level (120% FC18, 110% FC08). For the second and third ring, the GE images had lower TVN than Toshiba images for all dose levels (Toshiba TVN is greater than 155% for all cases). The results indicate that GE potentially has less image noise than Toshiba for larger patients. The Toshiba FC18 kernel had higher TVN than the Toshiba FC08 kernel with additional beam hardening correction for all dose levels and phantom sizes (120%, 107%, and 106% for FC18 compared to 110%, 98%, and 97%, for FC08, for 10, 15 and 20 mGy doses, respectively).PACS number(s): 87.57.Q‐, 87.57.nf, 87.57.C‐

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Section: Discussionsupporting

confidence: 85%

Image texture and radiation dose properties in CT

Mozejko

Andersen

Pedersen

et al. 2016

J Applied Clin Med Phys

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“…This is true particularly for CT images acquired with a lower dose subjectively assigning radiation saving parameters to a grainier image appearance. Singh et al describe a blotchy pixelated image impression when reporting about abdominal CT images using an adaptive IR technique [13]. The results of our systematic comparison of different levels of IR reflect the daily experience when dealing with IR.…”

mentioning

confidence: 60%

“…The CNR was almost doubled at the highest level of IR when compared to FBP in our measurements. Many studies have been published within the last years reporting on noise reduction and improvement of low-contrast image quality due to IR in CT examinations of the abdomen [13], the thorax [14,15] and the heart [25 -27]. In recent studies by Utsunomiya et al and Laqmani et al, a progressive improvement of the CNR and subjective image quality in cardiac CT and lowdose chest CT was reported when using different levels of IR compared to FBP [28,29].…”

mentioning

confidence: 99%

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

Kröpil

Bigdeli

Nagel

et al. 2014

Fortschr Röntgenstr

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Purpose: To investigate the effects of an advanced iterative reconstruction (IR) technique on subjective and objective image quality (IQ) in low-dose cardiac CT angiography (CCTA). Materials and Methods: 30 datasets of prospectively triggered ?step-and-shoot? CCTA scans acquired on a 256-slice CT scanner with optimized exposure settings were processed on a prototype IR system using filtered back-projection (FBP) and 4 levels of advanced IR (iDose4, Philips) providing incremental rates of IR (level 2, 4, 6, 7). In addition, the effects of different reconstruction kernels (semi-smooth [CB], standard with edge-enhancement [XCB]) and a ?multi-resolution? feature [MR] to preserve the noise power spectrum were evaluated resulting in a total of n?=?480 image sets. Contrast-to-noise ratios (CNR) were computed from regions of interest at 9 coronary locations. The subjective IQ was rated on a 4-point-scale with ?classic? image appearance and noise-related artifacts as main criteria. Results: At an effective dose of 1.7???0.7?mSv, the CNR significantly improved with every increasing level of IR (range: 14.2???27.8; p?

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“…Next,

{normaly}^{normal′}

is compared with an ideal value estimated by the noise model. This process continues iteratively until the estimated value converges on the ideal value 2 , 3 . The final pixel value

\overset{false^}{A}

can be expressed as:

\overset{A}{true} = arg min {L false(A x, y false) + α G false(x false)}

where

α G false(x false)

is a regularization function and L is a cost function.…”

Section: Introductionmentioning

confidence: 99%

A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction

Hussain

Mail

Shamy

et al. 2016

J Applied Clin Med Phys

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Image quality is a key issue in radiology, particularly in a clinical setting where it is important to achieve accurate diagnoses while minimizing radiation dose. Some computed tomography (CT) manufacturers have introduced algorithms that claim significant dose reduction. In this study, we assessed CT image quality produced by two reconstruction algorithms provided with GE Healthcare's Discovery 690 Elite positron emission tomography (PET) CT scanner. Image quality was measured for images obtained at various doses with both conventional filtered back‐projection (FBP) and adaptive statistical iterative reconstruction (ASIR) algorithms. A standard CT dose index (CTDI) phantom and a pencil ionization chamber were used to measure the CT dose at 120 kVp and an exposure of 260 mAs. Image quality was assessed using two phantoms. CT images of both phantoms were acquired at tube voltage (kV) of 120 with exposures ranging from 25 mAs to 400 mAs. Images were reconstructed using FBP and ASIR ranging from 10% to 100%, then analyzed for noise, low‐contrast detectability, contrast‐to‐noise ratio (CNR), and modulation transfer function (MTF). Noise was 4.6 HU in water phantom images acquired at 260 mAs/FBP 120 kV and 130 mAs/50% ASIR 120 kV. The large objects (frequency<7 lp/cm) retained fairly acceptable image quality at 130 mAs/50% ASIR, compared to 260 mAs/FBP. The application of ASIR for small objects (frequency>7 lp/cm) showed poor visibility compared to FBP at 260 mAs and even worse for images acquired at less than 130 mAs. ASIR blending more than 50% at low dose tends to reduce contrast of small objects (frequency>7 lp/cm). We concluded that dose reduction and ASIR should be applied with close attention if the objects to be detected or diagnosed are small (frequency>7 lp/cm). Further investigations are required to correlate the small objects (frequency>7 lp/cm) to patient anatomy and clinical diagnosis.PACS number(s): 87.57.‐s, 87.57.C, 87.57.cf, 87.57.cj, 87.57.cm, 87.57.cp, 87.57.N, 87.57.nf, 87.57.np, 87.57.nt, 87.57.Q, 87.59.‐e, 87.59.B

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Abdominal CT: Comparison of Adaptive Statistical Iterative and Filtered Back Projection Reconstruction Techniques

Abstract: ASIR lowers noise and improves diagnostic confidence in and conspicuity of subtle abdominal lesions at 8.4 mGy when images are reconstructed with 30% ASIR blending and at 4.2 mGy in patients weighing 90 kg or less when images are reconstructed with 50% or 70% ASIR blending.

Cited by 406 publications

References 23 publications

Image texture and radiation dose properties in CT

Image texture and radiation dose properties in CT

Impact of Increasing Levels of Advanced Iterative Reconstruction on Image Quality in Low-Dose Cardiac CT Angiography

A qualitative and quantitative analysis of radiation dose and image quality of computed tomography images using adaptive statistical iterative reconstruction

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