Diagnostic Performance of an Advanced Modeled Iterative Reconstruction Algorithm for Low-Contrast Detectability with a Third-Generation Dual-Source Multidetector CT Scanner: Potential for Radiation Dose Reduction in a Multireader Study

Solomon, Justin; Mileto, Achille; Ramírez-Giraldo, Juan Carlos; Samei, Ehsan

doi:10.1148/radiol.15142005

Cited by 143 publications

(143 citation statements)

References 19 publications

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“…The use of iterative reconstruction (ADMIRE) at a strength of 2 decreased noise by about 20% throughout all images and therefore further improved the CNR of the VMIs. This is consistent with other published data which demonstrated that low‐contrast detectability is increased by decreasing noise of DECT images using iterative reconstruction 6, 13, 19. These data suggests that the best tumor visibility can be achieved by contouring on VMIs at 40 keV with ADMIRE, although this may still depend on physician preference, window and leveling.…”

Section: Discussionsupporting

confidence: 91%

“…These data suggests that the best tumor visibility can be achieved by contouring on VMIs at 40 keV with ADMIRE, although this may still depend on physician preference, window and leveling. While increasing the strength of iterative reconstruction may further improve CNR,19 further investigation into the effects of ADMIRE on edge detection and therefore tumor delineation is needed. In addition, further investigation is needed to determine the impact of increased CNR in VMIs on the accuracy of tumor delineation.…”

Section: Discussionmentioning

confidence: 99%

“…In addition to filtered back projection (FBP) with the D30 reconstruction kernel, the latest generation of Siemens iterative reconstruction called Advanced Modeled Iterative Reconstruction (ADMIRE; Siemens Healthcare, Forchheim, Germany) using the Q30 reconstruction kernel was also used. ADMIRE is a model‐based iterative reconstruction algorithm designed to decrease noise as well as metal and cone beam image artifacts by analyzing the data in both the Fourier and image domain 6, 19. ADMIRE was applied to the low‐ and high‐energy datasets individually at a strength of 2 (ADMIRE 2) out of a maximum strength of 5; level 2 represents a low to medium level of noise suppression due to iterative reconstruction.…”

Section: Methodsmentioning

confidence: 99%

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Investigating a novel split‐filter dual‐energy CT technique for improving pancreas tumor visibility for radiation therapy

Maso

Huang

Bassetti

et al. 2018

J Applied Clin Med Phys

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PurposeTumor delineation using conventional CT images can be a challenge for pancreatic adenocarcinoma where contrast between the tumor and surrounding healthy tissue is low. This work investigates the ability of a split‐filter dual‐energy CT (DECT) system to improve pancreatic tumor contrast and contrast‐to‐noise ratio (CNR) for radiation therapy treatment planning.Materials and methodsMultiphasic scans of 20 pancreatic tumors were acquired using a split‐filter DECT technique with iodinated contrast medium, OMNIPAQUE TM. Analysis was performed on the pancreatic and portal venous phases for several types of DECT images. Pancreatic gross target volume (GTV) contrast and CNR were calculated and analyzed from mixed 120 kVp‐equivalent images and virtual monoenergetic images (VMI) at 57 and 40 keV. The role of iterative reconstruction on DECT images was also investigated. Paired t‐tests were used to assess the difference in GTV contrast and CNR among the different images.ResultsThe VMIs at 40 keV had a 110% greater image noise compared to the mixed 120 kVp‐equivalent images (P < 0.0001). VMIs at 40 keV increased GTV contrast from 15.9 ± 19.9 HU to 93.7 ± 49.6 HU and CNR from 1.37 ± 2.05 to 3.86 ± 2.78 in comparison to the mixed 120 kVp‐equivalent images. The iterative reconstruction algorithm investigated decreased noise in the VMIs by about 20% and improved CNR by about 30%.ConclusionsPancreatic tumor contrast and CNR were significantly improved using VMIs reconstructed from the split‐filter DECT technique, and the use of iterative reconstruction further improved CNR. This gain in tumor contrast may lead to more accurate tumor delineation for radiation therapy treatment planning.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

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Investigating a novel split‐filter dual‐energy CT technique for improving pancreas tumor visibility for radiation therapy

Maso

Huang

Bassetti

et al. 2018

J Applied Clin Med Phys

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“…[14][15][16][17][18][19][20] Several previous studies have demonstrated a good correlation between the performance of human observer and model observer. [17][18][19][21][22][23] Most of these studies were performed using phantoms with uniform background due to simplicity and availability of these phantoms. However, to assess image quality and radiation dose reduction in clinical CT imaging, physical phantoms having realistic background textures and lesions are highly desirable as the performance of reconstruction algorithms may be affected by anatomic background (i.e., structured noise).…”

Section: Introductionmentioning

confidence: 99%

Construction of realistic phantoms from patient images and a commercial three-dimensional printer

et al. 2016

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Abstract. The purpose of this study was to use three-dimensional (3-D) printing techniques to construct liver and brain phantoms having realistic pathologies, anatomic structures, and heterogeneous backgrounds. Patient liver and head computed tomography (CT) images were segmented into tissue, vessels, liver lesion, white and gray matter, and cerebrospinal fluid (CSF). Stereolithography files of each object were created and imported into a commercial 3-D printer. Printing materials were assigned to each object after test scans, which showed that the printing materials had CT numbers ranging from 70 to 121 HU at 120 kV. Printed phantoms were scanned on a CT scanner and images were evaluated. CT images of the liver phantom had measured CT numbers of 77.8 and 96.6 HU for the lesion and background, and 137.5 to 428.4 HU for the vessels channels, which were filled with iodine solutions. The difference in CT numbers between lesions and background (18.8 HU) was representative of the low-contrast values needed for optimization tasks. The liver phantom background was evaluated with Haralick features and showed similar texture between patient and phantom images. CT images of the brain phantom had CT numbers of 125, 134, and 108 HU for white matter, gray matter, and CSF, respectively. The CT number differences were similar to those in patient images.

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“…47 One study assessed the effect of ADMIRE on low-contrast detectability in a contrast-detail phantom, when compared to the FBP algorithm. 48 The results demonstrated an average increase of 5.2% (p-value<0.001) in detection accuracy with the use of ADMIRE, and low contrast detectability increased with increasing object contrast, size, dose index and strength of AD-MIRE. The use of the ADMIRE algorithm allowed a significant reduction in dose that ranged from 56% to 60% and 4% to 80% in 2 reading sessions, while preserving low-contrast detectability.…”

Section: Performance Of Safire and Admire Algorithmsmentioning

confidence: 86%

Does Iterative Reconstruction Improve Image Quality and Reduce Dose in Computed Tomography?

Qiu¹,

Seeram²

2016

Radiol Open J

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CitationA total of 57 articles were categorized as either synopsis articles or performance evaluation clinical studies, where the latter was further divided into 6 sub-categories according to the type of IR algorithm examined. The results show that the use of IR algorithms reduces objective image noise, and at least preserves spatial resolution and low contrast detectability, even when dose is reduced. The findings are also applicable to specific patient groups, such as pediatrics and obese patients. In conclusion, there is a general consensus that IR algorithms can faithfully reduce radiation dose and improve image quality in CT in comparison with the FBP algorithm.

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Diagnostic Performance of an Advanced Modeled Iterative Reconstruction Algorithm for Low-Contrast Detectability with a Third-Generation Dual-Source Multidetector CT Scanner: Potential for Radiation Dose Reduction in a Multireader Study

Cited by 143 publications

References 19 publications

Investigating a novel split‐filter dual‐energy CT technique for improving pancreas tumor visibility for radiation therapy

Investigating a novel split‐filter dual‐energy CT technique for improving pancreas tumor visibility for radiation therapy

Construction of realistic phantoms from patient images and a commercial three-dimensional printer

Does Iterative Reconstruction Improve Image Quality and Reduce Dose in Computed Tomography?

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