Recognition: 2 theorem links
· Lean TheoremDevelopment and characterization of the efficient portable X-ray imaging device based on Raspberry Pi camera
Pith reviewed 2026-05-15 20:06 UTC · model grok-4.3
The pith
A Raspberry Pi camera paired with a scintillation screen forms a portable X-ray imager that reaches 25 lp/mm spatial resolution under X-ray exposure.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
The developed device achieves MTF20 values of 68 lp/mm under ambient light and 25 lp/mm under X-ray irradiation at 50 and 70 kV, demonstrating spatial resolution comparable to clinical radiography systems while confirming modularity through tests with alternative scintillation screens.
What carries the argument
The indirect detection assembly of a Gd2O2S:Tb scintillation screen that converts X-rays to visible light for capture by the Raspberry Pi 12.3-megapixel camera.
Load-bearing premise
The slanted-edge method for deriving the modulation transfer function gives an accurate picture of true spatial resolution under X-ray conditions without extra corrections for screen geometry or light conversion effects.
What would settle it
Acquiring images of a standard resolution test pattern or line-pair phantom under the same 50-70 kV X-ray conditions and measuring the finest resolvable lines directly would show whether the reported 25 lp/mm holds up.
Figures
read the original abstract
This study reports the development and characterization of an efficient portable X-ray imaging device built from Raspberry Pi components, including a high-quality 12.3-megapixel camera configured for indirect detection with a Gd2O2S:Tb scintillation screen. The device was evaluated under both ambient light and X-ray exposure conditions. Initial characterization under ambient light ensured proper optical focusing; subsequently, camera settings (ISO and exposure time) were evaluated and optimized for X-ray imaging performance. Spatial resolution of the developed device was quantified using the Slanted-Edge method to derive the Modulation Transfer Function (MTF). Besides the low-noise feature, the device achieves MTF20 values of 68 lp/mm under ambient light and 25 lp/mm under X-ray irradiation (50 and 70 kV). Moreover, the modularity of the developed device was confirmed by conducting the tests with LYSO:Ce and GAGG:Ce screens. The results demonstrate that this efficient, scientific-grade, compact platform achieves spatial resolution comparable to that of clinical radiography systems, highlighting its potential for applications in scientific, educational, and medical contexts where efficient and portability are critical considerations.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript describes the development of a portable X-ray imaging device based on Raspberry Pi hardware and a 12.3-megapixel camera configured for indirect detection with a Gd2O2S:Tb scintillation screen. The device is characterized under ambient light (yielding MTF20 of 68 lp/mm) and X-ray irradiation at 50 and 70 kV (yielding MTF20 of 25 lp/mm) via the slanted-edge method; modularity is tested by repeating measurements with LYSO:Ce and GAGG:Ce screens. The central claim is that the resulting spatial resolution is comparable to clinical radiography systems.
Significance. If the reported MTF values can be shown to isolate the optical/camera contribution after proper accounting for scintillator blur, the work would demonstrate a low-cost, modular platform with potential utility in educational and field applications. The experimental testing across three scintillator materials and the use of a standard slanted-edge protocol are strengths that support reproducibility of the basic setup.
major comments (2)
- [Results (X-ray MTF characterization)] Results section on X-ray MTF: the reported MTF20 of 25 lp/mm is the composite system response (scintillator + optics + sensor). No deconvolution or subtraction of the known Gd2O2S:Tb screen MTF (which typically rolls off at 10–20 lp/mm in the 50–70 kV range) is performed, so the claim of comparability to clinical radiography systems rests on an unseparated measurement and cannot be evaluated from the presented data.
- [Methods (camera settings) and Results (MTF curves)] Methods and Results on camera optimization: ISO and exposure time are varied and selected, yet no uncertainty propagation, repeated measurements, or error bars on the derived MTF20 values are reported. This omission prevents assessment of whether the 25 lp/mm figure is statistically distinguishable from screen-limited performance alone.
minor comments (2)
- [Abstract] Abstract: the phrase 'scientific-grade' is used without definition or quantitative criteria; a brief clarification of what performance metrics qualify the device as scientific-grade would improve precision.
- [Figures (MTF plots)] Figure presentation: MTF plots should explicitly label the kV setting, screen type, and whether the curve is raw or corrected; current captions leave this ambiguous for the X-ray data.
Simulated Author's Rebuttal
We thank the referee for the constructive comments on our manuscript describing the portable X-ray imaging device. We address each major comment below and will revise the manuscript to improve clarity and rigor while preserving the focus on the integrated system performance.
read point-by-point responses
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Referee: Results section on X-ray MTF: the reported MTF20 of 25 lp/mm is the composite system response (scintillator + optics + sensor). No deconvolution or subtraction of the known Gd2O2S:Tb screen MTF (which typically rolls off at 10–20 lp/mm in the 50–70 kV range) is performed, so the claim of comparability to clinical radiography systems rests on an unseparated measurement and cannot be evaluated from the presented data.
Authors: We agree that the reported MTF20 of 25 lp/mm is the composite system response. For characterizing a complete portable device intended for practical applications, the overall system MTF is the relevant figure of merit, as clinical radiography systems are likewise evaluated at the system level (including scintillator contributions). To address the concern, we will revise the Results and Discussion sections to explicitly clarify that the value is the integrated system MTF, add literature-based comparisons to typical clinical system MTF20 values (often 5–15 lp/mm), and note the expected scintillator contribution from published Gd2O2S:Tb data. This provides context without performing deconvolution, which was outside the scope of demonstrating device modularity and portability. revision: partial
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Referee: Methods and Results on camera optimization: ISO and exposure time are varied and selected, yet no uncertainty propagation, repeated measurements, or error bars on the derived MTF20 values are reported. This omission prevents assessment of whether the 25 lp/mm figure is statistically distinguishable from screen-limited performance alone.
Authors: We acknowledge that uncertainty quantification strengthens the results. In the revised manuscript, we will update the Methods section to describe a protocol of at least three repeated measurements per condition and include uncertainty propagation in the slanted-edge MTF analysis. The Results section will present error bars on the MTF curves and MTF20 values, enabling readers to assess the statistical significance of the 25 lp/mm figure relative to scintillator-limited performance. revision: yes
Circularity Check
No circularity: purely experimental device characterization with direct measurements
full rationale
The paper reports hardware construction of a Raspberry Pi-based X-ray imager and its experimental evaluation via standard slanted-edge MTF measurements under ambient light and X-ray conditions. No derivations, predictions, fitted parameters, or self-citations are used to generate the central claims (MTF20 values of 68 lp/mm ambient and 25 lp/mm under X-ray). All reported quantities are direct outputs of the measurement protocol applied to the physical device; the analysis contains no equations that reduce results to inputs by construction and no load-bearing self-citations. This is a self-contained experimental report whose claims stand or fall on the validity of the measurements themselves rather than on any internal logical loop.
Axiom & Free-Parameter Ledger
free parameters (1)
- ISO and exposure time
axioms (1)
- domain assumption Slanted-edge method yields accurate MTF for indirect X-ray detection with the chosen screen
Lean theorems connected to this paper
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Cost.FunctionalEquationwashburn_uniqueness_aczel unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
The slanted-edge method was employed... MTF20 values of 68 lp/mm under ambient light and 25 lp/mm under X-ray irradiation (50 and 70 kV)
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Foundation.AlexanderDualityalexander_duality_circle_linking unclear?
unclearRelation between the paper passage and the cited Recognition theorem.
indirect detection with a Gd2O2S:Tb scintillation screen... lens-prism coupled
What do these tags mean?
- matches
- The paper's claim is directly supported by a theorem in the formal canon.
- supports
- The theorem supports part of the paper's argument, but the paper may add assumptions or extra steps.
- extends
- The paper goes beyond the formal theorem; the theorem is a base layer rather than the whole result.
- uses
- The paper appears to rely on the theorem as machinery.
- contradicts
- The paper's claim conflicts with a theorem or certificate in the canon.
- unclear
- Pith found a possible connection, but the passage is too broad, indirect, or ambiguous to say the theorem truly supports the claim.
Reference graph
Works this paper leans on
-
[1]
W. C. Röntgen, “On a New Kind of Rays,” Science 3, (1896) 227.https://doi.org/10.1126/science.3.59.227
-
[2]
From Röntgen to Magnetic Resonance Imaging,
J. H. Scatliff and P. J. Morris, “From Röntgen to Magnetic Resonance Imaging,” North Carolina Medical Journal 75, (2014) 111.https://doi.org/10.18043/ncm.75.2.111
-
[3]
G. Zentai, X-Ray Imaging for Homeland Security, in 2008 IEEE International Workshop on Imaging Systems and Techniques, IEEE, (2008).https://doi.org/10.1109/IST.2008.4659929
-
[5]
EARLY CLINICAL USE OF THE X-RAY,
J. HOWELL, “EARLY CLINICAL USE OF THE X-RAY,” Transactions of the American Clinical and Climatological Association 127, (2016) 341
work page 2016
-
[6]
A. Arodzero, V. Alreja, S. Boucher, P. Burstein, P. Kulinich, R. C. Lanza, V. Palermo and M. Tran, X-Ray Backscatter Security Inspection with Enhanced Depth of Effective Detection and Material Discrimination, in 2021 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC), IEEE, (2021).https://doi.org/10.1109/NSS/MIC44867.2021.9875935
-
[7]
A Preliminary Approach to Intelligent X-ray Imaging for Baggage Inspection at Airports,
I. Uroukov and R. Speller, “A Preliminary Approach to Intelligent X-ray Imaging for Baggage Inspection at Airports,” Signal Processing Research 4, (2015) 1.https://doi.org/10.14355/spr.2015.04.001
-
[8]
S. U. Khan, I. U. Khan, I. Ullah, N. Saif and I. Ullah, “A review of airport dual energy X-ray baggage inspection techniques: Image enhancement and noise reduction,” Journal of X-Ray Science and Technology: Clinical Applications of Diagnosis and Therapeutics 28, (2020) 481.https://doi.org/10.3233/XST-200663
-
[9]
Imaging in airport security: Past, present, future, and the link to forensic and clinical radiology,
O. E. Wetter, “Imaging in airport security: Past, present, future, and the link to forensic and clinical radiology,” Journal of Forensic Radiology and Imaging 1, Elsevier, (2013) 152.https://doi.org/10.1016/J.JOFRI.2013.07.002
-
[10]
X-Ray Baggage Inspection With Computer Vision: A Survey,
D. Mery, D. Saavedra and M. Prasad, “X-Ray Baggage Inspection With Computer Vision: A Survey,” IEEE Access 8, (2020) 145620.https://doi.org/10.1109/ACCESS.2020.3015014
-
[11]
High-resolution non-destructive three-dimensional imaging of integrated circuits,
M. Holler, M. Guizar-Sicairos, E. H. R. Tsai, R. Dinapoli, E. Müller, O. Bunk, J. Raabe and G. Aeppli, “High-resolution non-destructive three-dimensional imaging of integrated circuits,” Nature 543, (2017) 402.https://doi.org/10.1038/nature21698
-
[12]
Understanding X-ray cargo imaging,
G. Chen, “Understanding X-ray cargo imaging,” Nuclear Instruments and Methods in Physics Research Section B: Beam Interactions with Materials and Atoms 241, North-Holland, (2005) 810.https://doi.org/10.1016/J.NIMB.2005.07.136
-
[13]
A review of X-ray explosives detection techniques for checked baggage,
K. Wells and D. A. Bradley, “A review of X-ray explosives detection techniques for checked baggage,” Applied Radiation and Isotopes 70, Pergamon, (2012) 1729.https://doi.org/10.1016/J.APRADISO.2012.01.011
-
[14]
Automated X-ray image analysis for cargo security: Critical review and future promise,
T. W. Rogers, N. Jaccard, E. J. Morton and L. D. Griffin, “Automated X-ray image analysis for cargo security: Critical review and future promise,” Journal of X-Ray Science and Technology 25, IOS Press, (2017) 33.https://doi.org/10.3233/XST-160606
-
[15]
Detection of concealed cars in complex cargo X- ray imagery using Deep Learning,
N. Jaccard, T. W. Rogers, E. J. Morton and L. D. Griffin, “Detection of concealed cars in complex cargo X- ray imagery using Deep Learning,” Journal of X-Ray Science and Technology 25, IOS Press, (2017) 323.https://doi.org/10.3233/XST-16199
-
[16]
D. Anderson and D. Vukadinovic, X-Ray Baggage Screening and Artificial Intelligence (AI) A Technical Review of Machine Learning Techniques for X-Ray Baggage Screening, in JRC Science for Policy Report, (2022).https://doi.org/10.2760/46363
-
[17]
R. Rakay and M. Vagas, The Comparison of Machine Vision Approaches for Standard Industrial Solutions, in 2024 25th International Carpathian Control Conference (ICCC), IEEE, (2024).https://doi.org/10.1109/ICCC62069.2024.10569872
-
[18]
C. Amadou, G. Bera, M. Ezziane, L. Chami, T. Delbot, A. Rouxel, M. Leban, G. Herve, F. Menegaux, et al., “18F‐Fluorocholine PET/CT and Parathyroid 4D Computed Tomography for Primary Hyperparathyroidism: The Challenge of Reoperative Patients,” World Journal of Surgery 43, (2019) 1232.https://doi.org/10.1007/s00268-019-04910-6
-
[19]
M. S. Hofman, N. Lawrentschuk, R. J. Francis, C. Tang, I. Vela, P. Thomas, N. Rutherford, J. M. Martin, M. Frydenberg, et al., “Prostate-specific membrane antigen PET-CT in patients with high-risk prostate cancer before curative-intent surgery or radiotherapy (proPSMA): a prospective, randomised, multicentre study,” The Lancet 395, (2020) 1208.https://doi...
-
[20]
Y. Jin, D. Ni, L. Gao, X. Meng, Y. Lv, F. Han, H. Zhang, Y. Liu, Z. Yao, et al., “Harness the Power of Upconversion Nanoparticles for Spectral Computed Tomography Diagnosis of Osteosarcoma,” Advanced Functional Materials 28, (2018).https://doi.org/10.1002/adfm.201802656
-
[21]
W. J. H. Veldkamp, L. J. M. Kroft, M. V. Boot, B. J. A. Mertens and J. Geleijns, “Contrast-detail evaluation and dose assessment of eight digital chest radiography systems in clinical practice,” European Radiology 16, Eur Radiol, (2006) 333.https://doi.org/10.1007/S00330-005-2887-6,
-
[22]
Scintillator materials for x-ray detectors and beam monitors,
T. Martin, A. Koch and M. Nikl, “Scintillator materials for x-ray detectors and beam monitors,” MRS Bulletin 42, (2017) 451.https://doi.org/10.1557/mrs.2017.116
-
[23]
J. H. Heo, D. H. Shin, J. K. Park, D. H. Kim, S. J. Lee and S. H. Im, “High‐Performance Next‐Generation Perovskite Nanocrystal Scintillator for Nondestructive X‐Ray Imaging,” Advanced Materials 30, (2018).https://doi.org/10.1002/adma.201801743
-
[24]
Lens coupled scintillating screen-CCD X-ray area detector with a high detective quantum efficiency,
A. Koch, “Lens coupled scintillating screen-CCD X-ray area detector with a high detective quantum efficiency,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 348, North-Holland, (1994) 654.https://doi.org/10.1016/0168- 9002(94)90818-4. – 19 –
-
[25]
Recent developments in digital radiography detectors,
J. Yorkston, “Recent developments in digital radiography detectors,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 580, North- Holland, (2007) 974.https://doi.org/10.1016/J.NIMA.2007.06.041
-
[26]
Recent developments in X-ray imaging with micrometer spatial resolution,
T. Martin and A. Koch, “Recent developments in X-ray imaging with micrometer spatial resolution,” Journal of Synchrotron Radiation 13, (2006) 180.https://doi.org/10.1107/S0909049506000550
-
[28]
D. Linardatos, G. Fountos, I. Valais and C. Michail, “A Novel Method for Developing Thin Resin Scintillator Screens and Application in an X-ray CMOS Imaging Sensor,” Sensors 2023, Vol. 23, Page 6588 23, Multidisciplinary Digital Publishing Institute, (2023) 6588.https://doi.org/10.3390/S23146588
-
[30]
Advances in digital radiography: Physical principles and system overview,
M. Körner, C. H. Weber, S. Wirth, K. J. Pfeifer, M. F. Reiser and M. Treitl, “Advances in digital radiography: Physical principles and system overview,” Radiographics 27, Radiographics, (2007) 675.https://doi.org/10.1148/RG.273065075,
-
[31]
Recent measurements on scintillator-photodetector systems,
E. S.-I. T. on N. Science and undefined 1987, “Recent measurements on scintillator-photodetector systems,” ieeexplore.ieee.orgE SakaiIEEE Transactions on Nuclear Science, 1987•ieeexplore.ieee.orghttps://ieeexplore.ieee.org/abstract/document/4337375/
-
[32]
L. Lu, M. Sun, Q. Lu, T. Wu and B. Huang, “High energy X-ray radiation sensitive scintillating materials for medical imaging, cancer diagnosis and therapy,” Nano Energy 79, Elsevier, (2021) 105437.https://doi.org/10.1016/J.NANOEN.2020.105437
-
[33]
C. Michail, I. Valais, I. Seferis, N. Kalyvas, G. Fountos and I. Kandarakis, “Experimental measurement of a high resolution CMOS detector coupled to CsI scintillators under X-ray radiation,” Radiation Measurements 74, Pergamon, (2015) 39.https://doi.org/10.1016/J.RADMEAS.2015.02.007
-
[34]
Digital radiography — a review of detector design,
R. H. Harrison, “Digital radiography — a review of detector design,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 310, North- Holland, (1991) 24.https://doi.org/10.1016/0168-9002(91)90995-3
-
[35]
M. V. Prummel, D. Muradali, R. Shumak, V. Majpruz, P. Brown, H. Jiang, S. J. Done, M. J. Yaffe and A. M. Chiarelli, “Digital compared with screen-film mammography: Measures of diagnostic accuracy among women screened in the Ontario breast screening program,” Radiology 278, Radiological Society of North America Inc., (2016) 365.https://doi.org/10.1148/RADI...
-
[36]
Screen- film versus computed radiography imaging of the hand: A direct comparison,
R. G. Swee, J. E. Gray, J. W. Beabout, R. A. McLeod, K. L. Cooper, J. R. Bond and D. E. Wenger, “Screen- film versus computed radiography imaging of the hand: A direct comparison,” American Journal of Roentgenology 168, American Roentgen Ray Society, (1997) 539.https://doi.org/10.2214/AJR.168.2.9016243
-
[37]
Screen film processing systems for medical radiography: a historical review.,
A. G. Haus and J. E. Cullinan, “Screen film processing systems for medical radiography: a historical review.,” Radiographics : a review publication of the Radiological Society of North America, Inc 9, Radiographics, (1989) 1203.https://doi.org/10.1148/RADIOGRAPHICS.9.6.2685941,
-
[38]
A. Engidayehu and O. Sahu, “Enzymatic recovery of silver from waste radiographic film: Optimize with response surface methodology,” Sustainable Chemistry and Pharmacy 15, (2020) 100224.https://doi.org/10.1016/j.scp.2020.100224
-
[39]
K. Konstantinidou, S. Strekopytov, E. Humphreys-Williams and M. Kearney, “Identification of cellulose nitrate X-ray film for the purpose of conservation: Organic elemental analysis,” Studies in Conservation 62, (2017) 24.https://doi.org/10.1080/00393630.2016.1150411
-
[40]
Recent Development in X-Ray Imaging Technology: Future and Challenges,
X. Ou, X. Chen, X. Xu, L. Xie, X. Chen, Z. Hong, H. Bai, X. Liu, Q. Chen, et al., “Recent Development in X-Ray Imaging Technology: Future and Challenges,” Research 2021, (2021).https://doi.org/10.34133/2021/9892152
-
[41]
Storage phosphors for medical imaging,
P. Leblans, D. Vandenbroucke and P. Willems, “Storage phosphors for medical imaging,” Materials 4, Materials (Basel), (2011) 1034.https://doi.org/10.3390/MA4061034,
-
[42]
Advances in computed radiography systems and their physical imaging characteristics,
A. R. Cowen, A. G. Davies and S. M. Kengyelics, “Advances in computed radiography systems and their physical imaging characteristics,” Clinical Radiology 62, (2007) 1132.https://doi.org/10.1016/j.crad.2007.07.009
-
[43]
The physics of computed radiography,
J. A. Rowlands, “The physics of computed radiography,” Physics in Medicine and Biology 47, (2002) R123.https://doi.org/10.1088/0031-9155/47/23/201
-
[44]
Recent Developments of Amorphous Selenium-Based X-Ray Detectors: A Review,
H. Huang and S. Abbaszadeh, “Recent Developments of Amorphous Selenium-Based X-Ray Detectors: A Review,” IEEE Sensors Journal 20, (2020) 1694.https://doi.org/10.1109/JSEN.2019.2950319
-
[45]
Digital radiography with large-area flat-panel detectors,
E. Kotter and M. Langer, “Digital radiography with large-area flat-panel detectors,” European Radiology 12, (2002) 2562.https://doi.org/10.1007/s00330-002-1350-1
-
[47]
H. G. Chotas and C. E. Ravin, “Digital Chest Radiography with a Solid-state Flat-Panel X-ray Detector: Contrast-Detail Evaluation with Processed Images Printed on Film Hard Copy,” Radiology 218, (2001) 679.https://doi.org/10.1148/radiology.218.3.r01mr27679
-
[48]
Flat detectors and their clinical applications,
M. Spahn, “Flat detectors and their clinical applications,” European Radiology 15, (2005) 1934.https://doi.org/10.1007/s00330-005-2734-9
-
[49]
Status and prospects of digital detector technology for CR and DR,
U. Neitzel, “Status and prospects of digital detector technology for CR and DR,” Radiation Protection Dosimetry 114, (2005) 32.https://doi.org/10.1093/rpd/nch532
-
[50]
A. C. Konstantinidis, M. B. Szafraniec, R. D. Speller and A. Olivo, “The Dexela 2923 CMOS X-ray detector: A flat panel detector based on CMOS active pixel sensors for medical imaging applications,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 689, North-Holland, (2012) 12.ht...
-
[51]
Solid-state, flat-panel, digital radiography detectors and their physical imaging characteristics,
A. R. Cowen, S. M. Kengyelics and A. G. Davies, “Solid-state, flat-panel, digital radiography detectors and their physical imaging characteristics,” Clinical Radiology 63, (2008) 487.https://doi.org/10.1016/j.crad.2007.10.014
-
[52]
X-ray detectors for digital radiography,
M. J. Yaffe and J. A. Rowlands, “X-ray detectors for digital radiography,” Physics in Medicine and Biology 42, (1997) 1.https://doi.org/10.1088/0031-9155/42/1/001
-
[53]
Performance of scintillating waveguides for CCD-based X-ray detectors,
X. Badel, B. Norlin, P. Kleimann, L. Williams, S. J. Moody, G. C. Tyrrell, C. Frojdh and J. Linnros, “Performance of scintillating waveguides for CCD-based X-ray detectors,” IEEE Transactions on Nuclear Science 53, (2006) 3.https://doi.org/10.1109/TNS.2005.862981
-
[54]
E. Samei and M. J. Flynn, “An experimental comparison of detector performance for direct and indirect digital radiography systems,” Medical Physics 30, John Wiley and Sons Ltd, (2003) 608.https://doi.org/10.1118/1.1561285;CTYPE:STRING:JOURNAL
-
[55]
Digital radiography: Image quality and radiation dose,
J. A. Seibert, “Digital radiography: Image quality and radiation dose,” Health Physics 95, (2008) 586.https://doi.org/10.1097/01.HP.0000326338.14198.a2
-
[56]
Towards patient dose optimization in digital radiography,
G. Andria, F. Attivissimo, G. Guglielmi, A. M. L. Lanzolla, A. Maiorana and M. Mangiantini, “Towards patient dose optimization in digital radiography,” Measurement 79, Elsevier, (2016) 331.https://doi.org/10.1016/J.MEASUREMENT.2015.08.015
-
[57]
Digital radiography. A comparison with modern conventional imaging,
G. J. Bansal, “Digital radiography. A comparison with modern conventional imaging,” Postgraduate Medical Journal 82, (2006) 425.https://doi.org/10.1136/PGMJ.2005.038448
-
[58]
Development of a lens-coupled CMOS detector for an X-ray inspection system,
H. K. Kim, J. K. Ahn and G. Cho, “Development of a lens-coupled CMOS detector for an X-ray inspection system,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 545, North-Holland, (2005) 210.https://doi.org/10.1016/J.NIMA.2005.01.310
-
[59]
Tradeoffs between image quality and dose,
J. A. Seibert, “Tradeoffs between image quality and dose,” Pediatric Radiology 34, (2004) S183.https://doi.org/10.1007/s00247-004-1268-7
-
[60]
C. M. Ardila, A. M. Vivares-Builes and E. Pineda-Vélez, “Image Quality, Radiation Dose, and Patient Comfort Associated with Wireless Sensors in Digital Radiography: A Systematic Review.,” Dentistry journal 12, Multidisciplinary Digital Publishing Institute (MDPI), (2024).https://doi.org/10.3390/dj12080267
-
[61]
An X-ray imaging detector based on pixel structured scintillator,
B.-J. Kim, G. Cho, B. Kyung Cha and B. Kang, “An X-ray imaging detector based on pixel structured scintillator,” Radiation Measurements 42, (2007) 1415.https://doi.org/10.1016/j.radmeas.2007.05.055
-
[62]
B. K. Cha, J. Y. Kim, T. J. Kim, C. Sim and G. Cho, “Fabrication and imaging characterization of high sensitive CsI(Tl) and Gd2O2S(Tb) scintillator screens for X-ray imaging detectors,” Radiation Measurements 45, Pergamon, (2010) 742.https://doi.org/10.1016/J.RADMEAS.2009.12.025
-
[63]
Development of a Mini-Mobile Digital Radiography System by Using Wireless Smart Devices,
C. W. Jeong, S. C. Joo, J. H. Ryu, J. Lee, K. W. Kim and K. H. Yoon, “Development of a Mini-Mobile Digital Radiography System by Using Wireless Smart Devices,” Journal of Digital Imaging 27, Springer New York LLC, (2014) 443.https://doi.org/10.1007/S10278-013-9659-7,
-
[64]
Detection of visible photons in CCD and CMOS: A comparative view,
P. Magnan, “Detection of visible photons in CCD and CMOS: A comparative view,” Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment 504, North-Holland, (2003) 199.https://doi.org/10.1016/S0168-9002(03)00792-7
-
[65]
CMOS image sensors: electronic camera-on-a-chip,
E. R. Fossum, “CMOS image sensors: electronic camera-on-a-chip,” IEEE Transactions on Electron Devices 44, (1997) 1689.https://doi.org/10.1109/16.628824
-
[66]
I. A. Elbakri, B. J. McIntosh and D. W. Rickey, “Physical characterization and performance comparison of active- and passive-pixel CMOS detectors for mammography,” Physics in Medicine and Biology 54, (2009) 1743.https://doi.org/10.1088/0031-9155/54/6/022
-
[67]
Comparison of CCD, CMOS and Hybrid Pixel x-ray detectors: detection principle and data quality,
P. Allé, E. Wenger, S. Dahaoui, D. Schaniel and C. Lecomte, “Comparison of CCD, CMOS and Hybrid Pixel x-ray detectors: detection principle and data quality,” Physica Scripta 91, IOP Publishing, (2016) 063001.https://doi.org/10.1088/0031-8949/91/6/063001
-
[68]
Raspberry Pi 4 Model B – Raspberry Pi
“Raspberry Pi 4 Model B – Raspberry Pi”AccessedJuly 2, 2025https://www.raspberrypi.com/products/raspberry-pi-4-model-b/
-
[69]
Raspberry Pi High Quality Camera – Raspberry Pi
“Raspberry Pi High Quality Camera – Raspberry Pi”AccessedJuly 2, 2025https://www.raspberrypi.com/products/raspberry-pi-high-quality-camera/. – 21 –
-
[70]
Huu-Quoc Nguyen, Ton Thi Kim Loan, Bui Dinh Mao and Eui-Nam Huh, Low Cost Real-Time System Monitoring Using Raspberry Pi, in 2015 Seventh International Conference on Ubiquitous and Future Networks, IEEE, (2015).https://doi.org/10.1109/ICUFN.2015.7182665
-
[71]
A. D. Deshmukh and U. B. Shinde, A Low Cost Environment Monitoring System Using Raspberry Pi and Arduino with Zigbee, in 2016 International Conference on Inventive Computation Technologies (ICICT), IEEE, (2016).https://doi.org/10.1109/INVENTIVE.2016.7830096
-
[72]
Analyze and Designing Low-Cost Network Monitoring System Using Icinga and Raspberry Pi,
H. Maulana and Al-Khowarizmi, “Analyze and Designing Low-Cost Network Monitoring System Using Icinga and Raspberry Pi,” IOP Conference Series: Earth and Environmental Science 704, (2021) 012038.https://doi.org/10.1088/1755-1315/704/1/012038
-
[73]
Development of a low-cost vision-based real-time displacement system using Raspberry Pi,
M. Wang, K. Y. Koo, C. Liu and F. Xu, “Development of a low-cost vision-based real-time displacement system using Raspberry Pi,” Engineering Structures 278, Elsevier, (2023) 115493.https://doi.org/10.1016/J.ENGSTRUCT.2022.115493
-
[74]
A. M. Botti, L. Barreiro, S. Benas, C. Bonifazi, F. Cammarata, M. Danussi, E. Depaoli, P. López Maggi, J. Pérez Lanzillotta, et al., Low-Cost CMOS Tech for Inclusive High-Energy Physics Education, in Proceedings of 39th International Cosmic Ray Conference — PoS(ICRC2025), Sissa Medialab, Trieste, Italy, (2025).https://doi.org/10.22323/1.501.1239
-
[75]
SONY, Product Information: IMX477-AACK Diagonal 7.857 Mm (Type 1/2.3) 12.3 Mega-Pixel CMOS Image Sensor with Square Pixel for Color Cameras, (2018)AccessedFebruary 18, 2026https://www.sony- semicon.com/files/62/pdf/p-13_IMX477-AACK_Flyer.pdf
work page 2018
-
[76]
Fast MTF measurement of CMOS imagers using ISO 12333 slanted-edge methodology,
M. Estribeau and P. Magnan, “Fast MTF measurement of CMOS imagers using ISO 12333 slanted-edge methodology,” https://doi.org/10.1117/12.513320 5251, SPIE, (2004) 243.https://doi.org/10.1117/12.513320
-
[77]
A method to measure the MTF of digital x ray systems,
R. A. Sones and G. T. Barnes, “A method to measure the MTF of digital x ray systems,” Medical Physics 11, (1984) 166.https://doi.org/10.1118/1.595493
-
[78]
A method for measuring the presampled MTF of digital radiographic systems using an edge test device,
E. Samei, M. J. Flynn and D. A. Reimann, “A method for measuring the presampled MTF of digital radiographic systems using an edge test device,” Medical Physics 25, (1998) 102.https://doi.org/10.1118/1.598165
-
[79]
Ehsan Samei, Performance of Digital Radiographic Detectors: Quantification and Assessment Methods 1, (2003)
work page 2003
-
[80]
Modified slanted-edge method and multidirectional modulation transfer function estimation,
K. Masaoka, T. Yamashita, Y. Nishida and M. Sugawara, “Modified slanted-edge method and multidirectional modulation transfer function estimation,” Optics Express 22, (2014) 6040.https://doi.org/10.1364/OE.22.006040
-
[81]
I. E. Commission, “Medical electrical equipment-Characteristics of digital X-ray imaging devices-Part 1-1: Determination of the Detective Quantum Efficiency-Detectors used in radiographic imaging,” IEC 62220-1- 1, International Electrotechnical Commission, (2015)
work page 2015
-
[82]
I.-I. E. Commission, “Medical Electrical Equipment–Charac-teristics of Digital X-Ray Imaging Devices– Part 1: Determination of the Detective Quantum Efficiency, IEC 62220-1,” Geneva, Switzerland, (2003)
work page 2003
-
[83]
K. Rossmann, “Point spread-function, line spread-function, and modulation transfer function. Tools for the study of imaging systems.,” Radiology 93, (1969) 257.https://doi.org/10.1148/93.2.257
-
[84]
Dobbins, Image Quality Metrics for Digital Systems, in Handbook of Medical Imaging, Volume 1
J. Dobbins, Image Quality Metrics for Digital Systems, in Handbook of Medical Imaging, Volume 1. Physics and Psychophysics, SPIE, 1000 20th Street, Bellingham, WA 98227-0010 USA.https://doi.org/10.1117/3.832716.ch3
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