Evidence map›Paper›PMID 34752014›Full record

ArticleJournal of applied clinical medical physics2021

The ultrafast, high-pitch turbo FLASH mode of third-generation dual-source CT: Effect of different pitch and corresponding SFOV on image quality in a phantom study.

Yang Zhou, Lei Hu, Silin Du, Rui Jin, Wangjia Li, Fajin Lv, Zhiwei Zhang

Abstract read
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Article in Journal of applied clinical medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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0cells of the map it votes in
5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Yang ZhouDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lei HuNetwork Information Center, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Silin DuDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Rui JinDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Wangjia LiDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Fajin LvDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Zhiwei ZhangDepartment of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the effect of different pitches and corresponding scan fields of view (SFOVs) on the image quality in the ultrafast, high-pitch turbo FLASH mode of the third-generation dual-source CT using an anthropomorphic phantom.

methodsThe phantom was scanned using the ultrafast, high-pitch turbo FLASH protocols of the third-generation dual-source CT with the different pitches and corresponding SFOVs (pitches: 1.55 to 3.2 with increments of 0.1, SFOVs: 50 cm to 35.4 cm). The objective parameters such as the CT number, image noises, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and artifacts index (AI), and image features from the head, chest, and abdomen were compared between the CT images with a pitch of 1.55 and SFOV of Ø 50 cm and a pitch of 3.2 and SFOV of Ø 35.4 cm. Then, the 18 series of CT images of the head, chest, and abdomen were evaluated by three radiologists independently.

resultsThe differences in the CT numbers were not statically significant between the CT images with a pitch of 1.55 and SFOV of Ø 50 cm and a pitch of 3.2 and SFOV of Ø 35.4 cm from most body parts and potential combinations (p > 0.05), Most of the image noises and the AI from the images with the pitch of 1.55 were significantly lower than those with the pitch of 3.2 (p < 0.05), and the SNR and CNR from the images with the pitch of 1.55 were higher than those with the pitch of 3.2. There were significant differences in the first-order features and texture features of the head (59.3%, 28.3%), chest (66%, 35.7%), and abdomen (71.6%, 64.7%) (p < 0.05). The subjective image quality was excellent when the pitch was less than 2.0 and gradually decreased with the increasing pitch. In addition, the image quality decreased significantly when the pitch was higher than 3.0 (all k≥0.69), especially in the head and chest.

conclusionsIn the ultrafast, high-pitch turbo FLASH mode of the third-generation DSCT, increasing the pitch and lowering the corresponding SFOV will change the image features and cause more artifacts degrading the image quality. Specific to the clinical needs, decreasing the pitch not only can expand the SFOV but also can improve the image quality.

Indexed as

ArtifactsTomography, X-Ray ComputedHumansPhantoms, ImagingRadiation DosageSignal-To-Noise Ratiodual-source CThigh-pitch CTimage featuresimage quality

Identifiers

PMID34752014
PMCPMC8664149

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.