Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and a Model-based Iterative Reconstruction in Abdominal CT: An Experimental Clinical Study

Deák, Zsuzsanna; Grimm, Jochen; Treitl, Marcus; Geyer, Lucas L.; Linsenmaier, Ulrich; Körner, M.; Reiser, Maximilian; Wirth, Stéfan

doi:10.1148/radiol.12112707

Cited by 227 publications

(112 citation statements)

References 30 publications

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“…These include iterative reconstruction models such as adaptive statistical iterative reconstruction and model-based iterative reconstruction. [9][10][11][12][13][14][32][33][34][35][36][37][38][39][40] Although these imaging algorithms provide an additional method for dose reduction in CT-guided procedures, their availability is currently limited to newer CT scanners for routine diagnostic CT imaging. The greater availability of the iterative reconstruction software over time may allow for increased operator comfort when evaluating low-dose images during CT-guided procedures, potentially further reducing the radiation dose.…”

Section: Discussionmentioning

confidence: 99%

Radiation Dose Reduction in CT-Guided Spine Biopsies Does Not Reduce Diagnostic Yield

Shpilberg

Delman

Tanenbaum

et al. 2014

AJNR Am J Neuroradiol

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Section: Discussionmentioning

confidence: 99%

Radiation Dose Reduction in CT-Guided Spine Biopsies Does Not Reduce Diagnostic Yield

Shpilberg

Delman

Tanenbaum

et al. 2014

AJNR Am J Neuroradiol

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“…In addition, MBIR can be applied in only one strength, whereas previous iterative techniques could be applied in gradations (eg, 30% adaptive statistical iterative reconstruction [ASIR] combined with filtered back projection [FBP]). To date, only a few studies in which researchers evaluated the effect of MBIR on patient radiation dose and image quality have been published (14)(15)(16)(17)(18). Such studies, mostly in adults, have shown that MBIR leads to substantial dose reductions but maintains diagnostic image quality and reduces image noise.…”

Section: Methodsmentioning

confidence: 99%

Model-based Iterative Reconstruction: Effect on Patient Radiation Dose and Image Quality in Pediatric Body CT

Smith¹,

Dillman²,

Goodsitt³

et al. 2013

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Purpose:To retrospectively compare image quality and radiation dose between a reduced-dose computed tomographic (CT) protocol that uses model-based iterative reconstruction (MBIR) and a standard-dose CT protocol that uses 30% adaptive statistical iterative reconstruction (ASIR) with filtered back projection. Materials and Methods:Institutional review board approval was obtained. Clinical CT images of the chest, abdomen, and pelvis obtained with a reduced-dose protocol were identified. Images were reconstructed with two algorithms: MBIR and 100% ASIR. All subjects had undergone standard-dose CT within the prior year, and the images were reconstructed with 30% ASIR. Reduced-and standard-dose images were evaluated objectively and subjectively. Reduced-dose images were evaluated for lesion detectability. Spatial resolution was assessed in a phantom. Radiation dose was estimated by using volumetric CT dose index (CTDI vol ) and calculated size-specific dose estimates (SSDE). A combination of descriptive statistics, analysis of variance, and t tests was used for statistical analysis. Results:In the 25 patients who underwent the reduced-dose protocol, mean decrease in CTDI vol was 46% (range, 19%-65%) and mean decrease in SSDE was 44% (range, 19%-64%). Reduced-dose MBIR images had less noise (P . .004). Spatial resolution was superior for reduced-dose MBIR images. Reduced-dose MBIR images were equivalent to standard-dose images for lungs and soft tissues (P . .05) but were inferior for bones (P = .004). Reduceddose 100% ASIR images were inferior for soft tissues (P , .002), lungs (P , .001), and bones (P , .001). By using the same reduced-dose acquisition, lesion detectability was better (38% [32 of 84 rated lesions]) or the same (62% [52 of 84 rated lesions]) with MBIR as compared with 100% ASIR. Conclusion:CT performed with a reduced-dose protocol and MBIR is feasible in the pediatric population, and it maintains diagnostic quality.q RSNA, 2013

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“…It is not clear what the effect on measurement error would be for non-spherical nodules at these sizes and densities, or for CT scans reconstructed using iterative reconstruction (IR) algorithms, which have re-emerged in clinical scanners as part of the ongoing effort to reduce patient radiation exposure while maintaining image quality (19,20). Different types of IR include adaptive (or statistical as they are sometimes referred to) algorithms, which use predictor models of statistical noise in iterative procedures to reduce noise on FBP reconstructed scans, and model-based algorithms which incorporate more complex system models of data statistics, X-ray physics, and system optics in the image reconstruction process (21). Additionally, it would be beneficial to quantify the interrelated effects of nonsolid nodule characteristics (size, shape, density) and reconstruction algorithm with a wide range of dose levels to determine any reductions in exposure that can be achieved while still maintaining measurement consistency.…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study

Gavrielides

Berman

Supanich

et al. 2017

Quant. Imaging Med. Surg.

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Background: To assess the volumetric measurement of small (≤1 cm) nonsolid nodules with computed tomography (CT), focusing on the interaction of state of the art iterative reconstruction (IR) methods and dose with nodule densities, sizes, and shapes. Results: Density had the most important effect on measurement error followed by the interaction of density with nodule size. The nonsolid −630 HU nodules had high accuracy and precision at levels comparable to solid (−10 HU) nonsolid, regardless of reconstruction method and with CTDI vol as low as 0.6 mGy. PB was <5% and <11% for the 10-and 5-mm in nominal diameter −630 HU nodules respectively, and RC was <5% and <12% for the same nodules. For nonsolid −800 HU nodules, PB increased to <11% and <30% for the 10-and 5-mm nodules respectively, whereas RC increased slightly overall but varied widely across dose and reconstruction algorithms for the 5-mm nodules. Model-based IR improved measurement accuracy for the 5-mm, low-density (−800, −630 HU) nodules. For other nodules the effect of reconstruction method was small. Dose did not affect volumetric accuracy and only affected slightly the precision of 5-mm nonsolid nodules.Conclusions: Reasonable values of both accuracy and precision were achieved for volumetric measurements of all 10-mm nonsolid nodules, and for the 5-mm nodules with −630 HU or higher density, when derived from scans acquired with below screening dose levels as low as 0.6 mGy and regardless of reconstruction algorithm.

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Filtered Back Projection, Adaptive Statistical Iterative Reconstruction, and a Model-based Iterative Reconstruction in Abdominal CT: An Experimental Clinical Study

Abstract: The MBIR algorithm considerably improved objective and subjective image quality parameters of routine abdominal multidetector CT images compared with those of ASIR and FBP.

Cited by 227 publications

References 30 publications

Radiation Dose Reduction in CT-Guided Spine Biopsies Does Not Reduce Diagnostic Yield

Radiation Dose Reduction in CT-Guided Spine Biopsies Does Not Reduce Diagnostic Yield

Model-based Iterative Reconstruction: Effect on Patient Radiation Dose and Image Quality in Pediatric Body CT

Quantitative assessment of nonsolid pulmonary nodule volume with computed tomography in a phantom study

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