Overranging and overbeaming measurement in area detector computed tomography: A method for simultaneous measurement in volume helical acquisition

Urikura, Atsushi; Hara, Takanori; Yoshida, Tsukasa; Nishimaru, Eiji; Hoshino, Takashi; Nakaya, Yoshihiro; Endo, Masahiro

doi:10.1002/acm2.12650

Cited by 14 publications

(3 citation statements)

References 21 publications

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“…Z-overscanning is related to spiral CT and to the fact that the Z-interpolation required for image reconstruction requires data acquired from above and below each image position [23,24]. For a given scan length (i.e., the imaged volume) covered in helical mode, at least half a rotation (180° in parallel geometry) is required at the beginning and end of the scan to obtain a complete dataset for the reconstruction of the rst and last sections [25].…”

Section: Discussionmentioning

confidence: 99%

Comparison of pediatric lens dose measurements between axial and helical scan modes using a 160-mm volume computed tomography scanners.

Masuda¹,

Kiguchi

Fujioka

et al. 2023

Preprint

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Purpose To compare the scatter dose for lenses between a helical scan with a 40-mm detector width and an axial scan with a 160-mm detector width when using different computed tomography (CT) scanners in pediatric chest CT examinations. Methods Two CT devices, Revolution CT and Aquilion ONE, and three pediatric anthropomorphic phantoms were used, with optically stimulated luminescence dosimeters (OSLDs) placed on the left and right lenses. The measured scatter dose values of the OSLD were compared between the helical scan with the 40-mm detector width and axial scan with the 160-mm detector width in the different phantoms during the pediatric chest CT examinations. Results With the Revolution CT, no significant differences in the scatter doses between the 40-mm detector width for the helical scan and 160-mm detector width for the axial scan in the newborn and 1-year-old phantoms were observed. However, the lens scatter dose for the helical scan with the 40-mm detector width was approximately 20% higher than that for the axial scan with the 160-mm detector width in the 5-year-old phantom (p < 0.01). With the Aquilion ONE, the lenses scatter dose for the 40-mm detector width for the helical scan was approximately 70%, 40%, and 30% higher in newborn, 1-year-old, and 5-year-old phantoms, respectively, than that for the 160-mm detector width for the axial scan (p < 0.01). Conclusions The lenses scatter doses for the 40-mm detector width for the helical scan was higher in all phantoms than that for the 160-mm detector width for the axial scan.

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Section: Discussionmentioning

confidence: 99%

Comparison of pediatric lens dose measurements between axial and helical scan modes using a 160-mm volume computed tomography scanners.

Masuda¹,

Kiguchi

Fujioka

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…According to the previous study reports, apart from growing pitch factor and reducing tube current and tube voltage in the optimization phase, increasing slice collimation is a technique to minimize radiation dose without sacrificing image quality performance [41,42]. Furthermore, previous research indicates that increased beam collimation resulted in a decrease of around 17% over-ranging in CT study, which may prevent overexposure to patients and decreased dose to radiosensitive organs beyond primary beam [43]. However, a wider detector z-coverage screening applied may increase radiation scattering.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Organ Dose and Image Quality Metrics of Pediatric CT Chest-Abdomen-Pelvis (CAP) Examination: An Anthropomorphic Phantom Study

et al. 2021

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The aim of this study is to investigate the impact of CT acquisition parameter setting on organ dose and its influence on image quality metrics in pediatric phantom during CT examination. The study was performed on 64-slice multidetector CT scanner (MDCT) Siemens Definition AS (Siemens Sector Healthcare, Forchheim, Germany) using various CT CAP protocols (P1–P9). Tube potential for P1, P2, and P3 protocols were fixed at 100 kVp while P4, P5, and P6 were fixed at 80 kVp with used of various reference noise values. P7, P8, and P9 were the modification of P1 with changes on slice collimation, pitch factor, and tube current modulation (TCM), respectively. TLD-100 chips were inserted into the phantom slab number 7, 9, 10, 12, 13, and 14 to represent thyroid, lung, liver, stomach, gonads, and skin, respectively. The image quality metrics, signal to noise ratio (SNR) and contrast to noise ratio (CNR) values were obtained from the CT console. As a result, this study indicates a potential reduction in the absorbed dose up to 20% to 50% along with reducing tube voltage, tube current, and increasing the slice collimation. There is no significant difference (p > 0.05) observed between the protocols and image metrics.

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“…CT is widely used to image a variety of middle and inner ear pathologies but it is limited by suboptimal image resolution [4]. While most CT scanners are limited to, at best, a spatial resolution of about 0.3 mm, the latest Cannon CT scanner resolves details down to about 0.2 mm [5]. This level of image resolution is still insufficient.…”

Section: Introductionmentioning

confidence: 99%

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning

Zheng

Cong

et al. 2020

IEEE Access

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While micro-CT systems are instrumental in preclinical research, clinical micro-CT imaging has long been desired with cochlear implantation as a primary application. The structural details of the cochlear implant and the temporal bone require a significantly higher image resolution than that (about 0.2 mm) provided by current medical CT scanners. In this paper, we propose a clinical micro-CT (CMCT) system design integrating conventional spiral cone-beam CT, contemporary interior tomography, deep learning techniques, and the technologies of a micro-focus X-ray source, a photon-counting detector (PCD), and robotic arms for ultrahigh-resolution localized tomography of a freely-selected volume of interest (VOI) at a minimized radiation dose level. The whole system consists of a standard CT scanner for a clinical CT exam and VOI specification, and a robotic micro-CT scanner for a local scan of high spatial and spectral resolution at minimized radiation dose. The prior information from the global scan is also fully utilized for background compensation of the local scan data for accurate and stable VOI reconstruction. Our results and analysis show that the proposed hybrid reconstruction algorithm delivers accurate high-resolution local reconstruction, and is insensitive to the misalignment of the isocenter position, initial view angle and scale mismatch in the data/image registration. These findings demonstrate the feasibility of our system design. We envision that deep learning techniques can be leveraged for optimized imaging performance. With highresolution imaging, high dose efficiency and low system cost synergistically, our proposed CMCT system has great promise in temporal bone imaging as well as various other clinical applications.INDEX TERMS Clinical micro-CT, Deep learning, High-resolution imaging, Interior tomography, Photoncounting detector, Robotic arms, Temporal bone imaging, X-ray computed tomography This article has been accepted for publication in a future issue of this journal, but has not been fully edited. Content may change prior to final publication.

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Overranging and overbeaming measurement in area detector computed tomography: A method for simultaneous measurement in volume helical acquisition

Cited by 14 publications

References 21 publications

Comparison of pediatric lens dose measurements between axial and helical scan modes using a 160-mm volume computed tomography scanners.

Comparison of pediatric lens dose measurements between axial and helical scan modes using a 160-mm volume computed tomography scanners.

Evaluation of Organ Dose and Image Quality Metrics of Pediatric CT Chest-Abdomen-Pelvis (CAP) Examination: An Anthropomorphic Phantom Study

Clinical Micro-CT Empowered by Interior Tomography, Robotic Scanning, and Deep Learning

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