Adaptive statistical iterative reconstruction versus filtered back projection in the same patient: 64 channel liver CT image quality and patient radiation dose

Mitsumori, Lee M.; Shuman, William P.; Busey, Janet M.; Kolokythas, Orpheus; Koprowicz, Kent M

doi:10.1007/s00330-011-2186-3

Cited by 107 publications

(65 citation statements)

References 11 publications

(26 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…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

View full text Add to dashboard Cite

show abstract

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

View full text Add to dashboard Cite

show abstract

“…Increased image blurring has been discussed in several publications that investigated iterative reconstruction techniques. [11][12][13] Silva et al 12 suggested that the diminished noise manifests as an oversmoothing of the images. We have read with interest the results of Bulla et al, 8 who examined IRIS and concluded that iterative reconstructed paranasal sinus CT images did not lose image quality even though the tube current was reduced by Ͼ50%.…”

Section: Discussionmentioning

confidence: 99%

Performance of Iterative Image Reconstruction in CT of the Paranasal Sinuses: A Phantom Study

Schulz

Beeres

Bodelle

et al. 2012

AJNR Am J Neuroradiol

View full text Add to dashboard Cite

show abstract

“…The application of such algorithms to images acquired with the Philips Brilliance Big Bore CT scanner has the potential to improve HU number accuracy and minimise the image artefacts seen at eFOV/sFOV, however deliberation of the aforementioned limitations should be considered. Alternately, the use of iterative reconstruction methods has been shown to be feasible to enhance image quality compared to FBP algorithms [16][17][18]. Although not assessed in this study the application of different iterative reconstruction algorithms may provide enhanced imaging accuracy within the eFOV region.…”

Section: Accuracy Of Spatial Data In Efov Regionmentioning

confidence: 90%

An assessment of image distortion and CT number accuracy within a wide-bore CT extended field of view

Beeksma

Truant

Holloway

et al. 2015

Australas Phys Eng Sci Med

View full text Add to dashboard Cite

Although wide bore computed tomography (CT) scanners provide increased space for patients, the scan field of view (sFOV) remains considerably smaller than the bore size. Consequently, patient anatomy which spans beyond the sFOV is truncated and the information is lost. As a solution, some manufacturers provide the capacity to reconstruct CT images from a partial dataset at an extended field of view (eFOV). To assess spatial distortion within this eFOV three phantoms were considered a 30 x 30 x 20 cm 3 slab of solid water, the Gammex electron density CT phantom and a female anthropomorphic phantom. For each phantom, scans were taken centrally within the sFOV as a reference image and with the phantom edge extended at 1 cm intervals from 0 to 5 cm beyond the sFOV into the eFOV. To assess CT number accuracy various tissue equivalent materials were scanned in the eFOV and resulting CT numbers were compared to inserts scanned within the sFOV. For all phantom geometries, objects within the eFOV were geometrically overestimated with elongation of phantom shapes into the eFOV. The percentage increase in size ranged from 0.22 to 15.94 % over all phantoms considered. The difference between eFOV and sFOV CT numbers was dependent upon insert density. The eFOV underestimated CT numbers in the range of −127 to −230 HU for soft tissue densities and −278 to −640 for bone densities. This trend reversed for low tissue densities with the CT numbers in the eFOV being overestimated by 100-130 HU for lung equivalent inserts. Initial correlation between eFOV and sFOV CT numbers was seen and a correction function was successfully applied to better estimate the CT number representative of that seen within the sFOV. Abstract Although wide bore computed tomography (CT) scanners provide increased space for patients, the scan field of view (sFOV) remains considerably smaller than the bore size. Consequently, patient anatomy which spans beyond the sFOV is truncated and the information is lost. As a solution, some manufacturers provide the capacity to reconstruct CT images from a partial dataset at an extended field of view (eFOV). To assess spatial distortion within this eFOV three phantoms were considered a 30 9 30 9 20 cm 3 slab of solid water, the Gammex electron density CT phantom and a female anthropomorphic phantom. For each phantom, scans were taken centrally within the sFOV as a reference image and with the phantom edge extended at 1 cm intervals from 0 to 5 cm beyond the sFOV into the eFOV. To assess CT number accuracy various tissue equivalent materials were scanned in the eFOV and resulting CT numbers were compared to inserts scanned within the sFOV. For all phantom geometries, objects within the eFOV were geometrically overestimated with elongation of phantom shapes into the eFOV. The percentage increase in size ranged from 0.22 to 15.94 % over all phantoms considered. The difference between eFOV and sFOV CT numbers was dependent upon insert density. The eFOV underestimated CT numbers in the range of -127 to -230 HU for so...

show abstract

Adaptive statistical iterative reconstruction versus filtered back projection in the same patient: 64 channel liver CT image quality and patient radiation dose

Abstract: Our initial results suggest low dose CT images reconstructed with ASIR may have lower measured noise, similar image quality, yet significantly less radiation dose compared with higher dose images reconstructed with FBP.

Cited by 107 publications

References 11 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

Performance of Iterative Image Reconstruction in CT of the Paranasal Sinuses: A Phantom Study

An assessment of image distortion and CT number accuracy within a wide-bore CT extended field of view

Contact Info

Product

Resources

About