Technical assessment of 2D and 3D imaging performance of an IGZO-based flat-panel X-ray detector.

DQE IGZO MTF NEQ NPS amorphous silicon cone-beam CT flat-panel detector fluoroscopy image-guided procedures technical assessment

Journal

Medical physics
ISSN: 2473-4209
Titre abrégé: Med Phys
Pays: United States
ID NLM: 0425746

Informations de publication

Date de publication:
05 2022
Historique:
revised: 09 03 2022
received: 22 11 2021
accepted: 09 03 2022
pubmed: 2 4 2022
medline: 12 5 2022
entrez: 1 4 2022
Statut: ppublish

Résumé

Indirect detection flat-panel detectors (FPDs) consisting of hydrogenated amorphous silicon (a-Si:H) thin-film transistors (TFTs) are a prevalent technology for digital x-ray imaging. However, their performance is challenged in applications requiring low exposure levels, high spatial resolution, and high frame rate. Emerging FPD designs using metal oxide TFTs may offer potential performance improvements compared to FPDs based on a-Si:H TFTs. This work investigates the imaging performance of a new indium gallium zinc oxide (IGZO) TFT-based detector in 2D fluoroscopy and 3D cone-beam CT (CBCT). The new FPD consists of a sensor array combining IGZO TFTs with a-Si:H photodiodes and a 0.7-mm thick CsI:Tl scintillator. The FPD was implemented on an x-ray imaging bench with system geometry emulating intraoperative CBCT. A conventional FPD with a-Si:H TFTs and a 0.6-mm thick CsI:Tl scintillator was similarly implemented as a basis of comparison. 2D imaging performance was characterized in terms of electronic noise, sensitivity, linearity, lag, spatial resolution (modulation transfer function, MTF), image noise (noise-power spectrum, NPS), and detective quantum efficiency (DQE) with entrance air kerma (EAK) ranging from 0.3 to 1.2 μGy. 3D imaging performance was evaluated in terms of the 3D MTF and noise-equivalent quanta (NEQ), soft-tissue contrast-to-noise ratio (CNR), and image quality evident in anthropomorphic phantoms for a range of anatomical sites and dose, with weighted air kerma, The 2D imaging performance of the IGZO-based FPD exhibited up to ∼1.7× lower electronic noise than the a-Si:H FPD at matched pixel pitch. Furthermore, the IGZO FPD exhibited ∼27% increase in mid-frequency DQE (1 mm The IGZO-based FPD demonstrated improvements in electronic noise, image lag, and NEQ that translated to measurable improvements in 2D and 3D imaging performance compared to a conventional FPD based on a-Si:H TFTs. The improvements are most beneficial for 2D or 3D imaging scenarios involving low-dose and/or high-frame rate.

Sections du résumé

BACKGROUND
Indirect detection flat-panel detectors (FPDs) consisting of hydrogenated amorphous silicon (a-Si:H) thin-film transistors (TFTs) are a prevalent technology for digital x-ray imaging. However, their performance is challenged in applications requiring low exposure levels, high spatial resolution, and high frame rate. Emerging FPD designs using metal oxide TFTs may offer potential performance improvements compared to FPDs based on a-Si:H TFTs.
PURPOSE
This work investigates the imaging performance of a new indium gallium zinc oxide (IGZO) TFT-based detector in 2D fluoroscopy and 3D cone-beam CT (CBCT).
METHODS
The new FPD consists of a sensor array combining IGZO TFTs with a-Si:H photodiodes and a 0.7-mm thick CsI:Tl scintillator. The FPD was implemented on an x-ray imaging bench with system geometry emulating intraoperative CBCT. A conventional FPD with a-Si:H TFTs and a 0.6-mm thick CsI:Tl scintillator was similarly implemented as a basis of comparison. 2D imaging performance was characterized in terms of electronic noise, sensitivity, linearity, lag, spatial resolution (modulation transfer function, MTF), image noise (noise-power spectrum, NPS), and detective quantum efficiency (DQE) with entrance air kerma (EAK) ranging from 0.3 to 1.2 μGy. 3D imaging performance was evaluated in terms of the 3D MTF and noise-equivalent quanta (NEQ), soft-tissue contrast-to-noise ratio (CNR), and image quality evident in anthropomorphic phantoms for a range of anatomical sites and dose, with weighted air kerma,
RESULTS
The 2D imaging performance of the IGZO-based FPD exhibited up to ∼1.7× lower electronic noise than the a-Si:H FPD at matched pixel pitch. Furthermore, the IGZO FPD exhibited ∼27% increase in mid-frequency DQE (1 mm
CONCLUSION
The IGZO-based FPD demonstrated improvements in electronic noise, image lag, and NEQ that translated to measurable improvements in 2D and 3D imaging performance compared to a conventional FPD based on a-Si:H TFTs. The improvements are most beneficial for 2D or 3D imaging scenarios involving low-dose and/or high-frame rate.

Identifiants

pubmed: 35363391
doi: 10.1002/mp.15605
pmc: PMC10153656
mid: NIHMS1893268
doi:

Substances chimiques

Indium 045A6V3VFX
Gallium CH46OC8YV4
Zinc J41CSQ7QDS
Zinc Oxide SOI2LOH54Z

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

3053-3066

Subventions

Organisme : NINDS NIH HHS
ID : U01 NS107133
Pays : United States
Organisme : Academic-industry collaboration with Medtronic (Littleton, MA)
Organisme : NIH U01
ID : NS-107133

Informations de copyright

© 2022 American Association of Physicists in Medicine.

Références

Comput Aided Surg. 2007 Jul;12(4):195-207
pubmed: 17786595
Med Phys. 2011 Aug;38(8):4563-74
pubmed: 21928628
Proc SPIE Int Soc Opt Eng. 2014 Mar 19;9033:90333P
pubmed: 25300571
Med Phys. 2012 Jan;39(1):18-27
pubmed: 22225271
Phys Med Biol. 2015 Dec 7;60(23):8977-9001
pubmed: 26540090
Med Phys. 2016 Aug;43(8):4711
pubmed: 27487888
Med Phys. 2020 Feb;47(2):467-479
pubmed: 31808950
Med Phys. 2021 Jun;48(6):2772-2789
pubmed: 33660261
J Med Imaging (Bellingham). 2020 Jan;7(1):015501
pubmed: 32016135
Conf Proc IEEE Eng Med Biol Soc. 2005;2005:4461-4
pubmed: 17281227
Med Phys. 2014 Apr;41(4):042101
pubmed: 24694149
Med Phys. 2014 Sep;41(9):091902
pubmed: 25186389
Med Phys. 2006 Oct;33(10):3767-80
pubmed: 17089842
Med Phys. 2008 Dec;35(12):5510-29
pubmed: 19175110
Med Phys. 2016 Oct;43(10):5745
pubmed: 27782694
Med Phys. 2020 Jun;47(6):2392-2407
pubmed: 32145076
Med Phys. 1998 May;25(5):614-28
pubmed: 9608470
Int J Radiat Oncol Biol Phys. 2002 Aug 1;53(5):1337-49
pubmed: 12128137
Med Phys. 1997 Jan;24(1):71-89
pubmed: 9029542
Proc SPIE Int Soc Opt Eng. 2020;11312:
pubmed: 34079154
Med Phys. 2018 Dec;45(12):5420-5436
pubmed: 30339271
Med Phys. 2000 Feb;27(2):289-306
pubmed: 10718132
Med Phys. 1999 Aug;26(8):1624-41
pubmed: 10501063
Med Phys. 2006 Dec;33(12):4541-50
pubmed: 17278805
Med Phys. 2018 Jan;45(1):114-130
pubmed: 29095489
Radiographics. 2008 Nov-Dec;28(7):2009-22
pubmed: 19001655
Med Phys. 1999 May;26(5):672-81
pubmed: 10360526
Med Phys. 2005 Apr;32(4):968-83
pubmed: 15895580

Auteurs

Niral M Sheth (NM)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Ali Uneri (A)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Patrick A Helm (PA)

Medtronic, Inc, Littleton, Massachusetts, USA.

Wojciech Zbijewski (W)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Jeffrey H Siewerdsen (JH)

Department of Biomedical Engineering, Johns Hopkins University, Baltimore, Maryland, USA.

Articles similaires

Humans Magnetic Resonance Imaging Phantoms, Imaging Infant, Newborn Signal-To-Noise Ratio
Psoriasis Humans Magnesium Zinc Trace Elements
1.00
Humans Skull Infant Child, Preschool Infant, Newborn
Humans Phantoms, Imaging Radiography Patient Positioning Radiology

Classifications MeSH