Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast
Pith reviewed 2026-05-23 23:23 UTC · model grok-4.3
The pith
Propagation-based phase contrast CT with phase retrieval visualizes minor airways in infant-sized lungs at doses over 1,000 times lower than conventional CT at 75 micrometer voxels.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
Using monochromatic synchrotron radiation and a photon-counting detector, propagation-based phase-contrast CT on static lamb lungs achieved visualization of minor airways at doses 1,225 ± 31% times lower than conventional reconstruction at 75 μm voxels, with phase retrieval recovering information from projections with many zero-count pixels while complying with <2.5 mSv effective dose guidelines for infant chest CT.
What carries the argument
Propagation-based phase-contrast imaging with phase retrieval, where the beam propagates after the sample to turn phase gradients at lung-air interfaces into intensity variations that are then recovered into a phase map.
If this is right
- Clear visualization of minor lung airways is possible at voxel sizes of 75 μm while staying under current Australian infant chest CT dose limits.
- Phase retrieval compensates for severe information loss from zero-photon pixels in raw projections.
- Image quality normalized to dose can be optimized by choice of beam energy and propagation distance.
- Lamb lungs serve as a practical large-animal proxy for testing pediatric imaging protocols.
Where Pith is reading between the lines
- If adapted to polychromatic clinical sources, the approach could lower radiation in routine pediatric lung scans.
- Motion in live infants would likely require gating or faster acquisition not demonstrated in the static scans.
- The same propagation and retrieval steps might extend to other soft-tissue interfaces with strong phase contrast.
Load-bearing premise
That static lamb lung anatomy scanned under synchrotron conditions will accurately represent the challenges of imaging moving infant human lungs on clinical systems without new artifacts.
What would settle it
A side-by-side low-dose scan of a moving infant lung phantom on a clinical system that either resolves or fails to resolve minor airways at the claimed dose reduction factor without motion-induced artifacts.
Figures
read the original abstract
Many lung diseases require detailed visualisation for accurate diagnosis and treatment. High-resolution computed tomography (CT) is the gold-standard technique for non-invasive lung disease detection, but it presents a risk to the patient through the relatively high ionising radiation dose required. Utilising the X-ray phase information may allow improvements in image resolution at equal or lower radiation levels than current clinical imaging. Propagation-based phase-contrast imaging requires minimal adaption of existing medical systems, and is well suited to lung imaging due to the strong phase gradients introduced by the lung-air material interfaces. Herein, propagation-based phase contrast CT is demonstrated for large animals, namely lambs, as a model for paediatric patients, using monochromatic radiation and a photon-counting detector at the Imaging and Medical Beamline of the Australian Synchrotron. Image quality, normalised against radiation dose, was optimised as a function of the beam energy and propagation distance, with the optimal conditions used to test the available image quality at very low radiation dose. The resulting CT images demonstrate superior resolution to existing high-resolution CT systems, pushing dose to the quantum limit to comply with current Australian guidelines for infant chest CT exposure of $<2.5\:\text{mSv}$ effective dose. Constituent raw projections are shown to have significant proportions of pixels with zero photon counts that would create severe information loss in conventional CT. Phase retrieval enabled clear visualisation of minor lung airways at doses up to 1,225$\pm$31\% times lower than conventional CT reconstruction, at a voxel size of just 75$\mathrm{\mu}$m.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript reports an experimental demonstration of propagation-based phase-contrast CT on lamb lungs (as a model for infant-sized lungs) at the Australian Synchrotron using monochromatic radiation and a photon-counting detector. Image quality is optimized versus beam energy and propagation distance; at the optimum, phase retrieval permits visualization of minor airways at 75 μm voxels while achieving effective doses below 2.5 mSv. The central quantitative claim is that phase retrieval enables this visualization at doses up to 1,225 ± 31 % lower than conventional CT reconstruction, with raw projections containing substantial zero-photon pixels.
Significance. If the reported dose-reduction factor and image-quality metrics are robust, the work would represent a meaningful advance in low-dose, high-resolution lung CT for pediatric applications. The experimental use of a photon-counting detector and explicit handling of the quantum limit constitute clear technical strengths. The static, ex-vivo or anesthetized-lamb setting, however, leaves open questions about translation to moving, in-vivo human infant scans.
major comments (3)
- [Abstract] Abstract: the central claim of a 1,225 ± 31 % dose reduction is presented without any error-propagation analysis, without a description of how the conventional-CT reference dose was obtained on the same specimens, and without quantification of the effect of zero-photon pixels on the final SNR or airway-visibility metrics after phase retrieval.
- [Abstract] Abstract / Discussion: no direct side-by-side conventional-CT data acquired on the identical lamb lungs are shown, so the numerical dose-reduction factor rests on an external or simulated reference rather than a matched-pair comparison; this weakens the load-bearing quantitative claim.
- [Abstract] Abstract: the manuscript does not examine or discuss respiratory-motion effects. Because the central claim is framed as relevant to infant lung imaging, the absence of any test or mitigation strategy for motion-induced blurring or streaking at the reported extreme dose reductions is a load-bearing omission for clinical relevance.
minor comments (1)
- [Abstract] Abstract: the dose-reduction notation “1,225±31%” mixes a thousands separator with the uncertainty; standard scientific notation (1225 ± 31 %) would improve clarity.
Simulated Author's Rebuttal
We thank the referee for their constructive and detailed review. We address each major comment below, clarifying the methods used and outlining revisions to strengthen the manuscript.
read point-by-point responses
-
Referee: [Abstract] Abstract: the central claim of a 1,225 ± 31 % dose reduction is presented without any error-propagation analysis, without a description of how the conventional-CT reference dose was obtained on the same specimens, and without quantification of the effect of zero-photon pixels on the final SNR or airway-visibility metrics after phase retrieval.
Authors: We agree that the abstract requires supporting details for the quantitative claim. The conventional reference dose was obtained by processing the identical raw projections from the same lamb specimens without phase retrieval, scaling the photon fluence to the level needed for equivalent SNR in a conventional reconstruction (based on the measured zero-photon pixel statistics and Poisson noise model). We will add an explicit description of this calculation in the Methods, include full error-propagation analysis for the reported factor, and quantify the post-retrieval SNR and airway-visibility improvements attributable to phase retrieval despite zero-photon pixels. revision: yes
-
Referee: [Abstract] Abstract / Discussion: no direct side-by-side conventional-CT data acquired on the identical lamb lungs are shown, so the numerical dose-reduction factor rests on an external or simulated reference rather than a matched-pair comparison; this weakens the load-bearing quantitative claim.
Authors: The dose-reduction factor derives from a matched comparison on the identical projection datasets acquired from the same specimens: one path applies phase retrieval before reconstruction, while the conventional path uses the same data without retrieval but with fluence scaled to match SNR. No separate conventional scan was performed because the synchrotron experiment was configured for propagation-based imaging; however, the reference is internal to the experimental data rather than external or purely simulated. We will revise the Discussion to explicitly describe this matched-projection methodology and its assumptions. revision: partial
-
Referee: [Abstract] Abstract: the manuscript does not examine or discuss respiratory-motion effects. Because the central claim is framed as relevant to infant lung imaging, the absence of any test or mitigation strategy for motion-induced blurring or streaking at the reported extreme dose reductions is a load-bearing omission for clinical relevance.
Authors: Our study used static excised and anesthetized lamb lungs to demonstrate the achievable resolution and dose reduction at the quantum limit. We will add a dedicated paragraph in the Discussion acknowledging respiratory motion as a key translational challenge for in-vivo infant imaging and outlining potential mitigation approaches, including prospective gating, faster frame rates enabled by high-flux synchrotron beams, and post-processing motion-correction algorithms already validated in clinical CT. revision: yes
Circularity Check
No circularity: purely experimental demonstration with measured outputs
full rationale
The paper reports an experimental synchrotron study on static lamb lungs using propagation-based phase contrast CT. Key results (dose reduction factors, airway visualization at 75 μm voxels) are direct measurements from acquired projections and reconstructions, with optimization of energy and propagation distance performed empirically. No derivation chain, equations, or predictions are presented that reduce to fitted inputs or self-citations by construction. The work is self-contained against external benchmarks via direct comparison to conventional CT on the same samples.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Standard X-ray propagation physics and phase retrieval algorithms apply without modification to lung-air interfaces at the tested energies and distances.
Reference graph
Works this paper leans on
-
[1]
CT dose reduction factors in the thousands using X-ray phase contrast,
M. J. Kitchen, G. A. Buckley, T. E. Gureyev, M. J. Wal- lace, N. Andres-Thio, K. Uesugi, N. Yagi, and S. B. Hooper, “CT dose reduction factors in the thousands using X-ray phase contrast,” Scientific Reports, vol. 7, no. 1, p. 15953, Nov. 2017
work page 2017
-
[2]
High resolution propagation-based lung imaging at clinically relevant X- ray dose levels,
J. Albers, W. L. Wagner, M. O. Fiedler, A. Rother- mel, F. W¨unnemann, F. Di Lillo, D. Dreossi, N. Sodini, E. Baratella, M. Confalonieri, F. Arfelli, A. Kalenka, J. Lotz, J. Biederer, M. O. Wielp ¨utz, H.-U. Kauczor, F. Alves, G. Tromba, and C. Dullin, “High resolution propagation-based lung imaging at clinically relevant X- ray dose levels,” Scientific R...
work page 2023
-
[3]
B. D. Arhatari, A. W. Stevenson, B. Abbey, Y . I. Nesterets, A. Maksimenko, C. J. Hall, D. Thompson, S. C. Mayo, T. Fiala, H. M. Quiney, S. T. Taba, S. J. Lewis, P. C. Brennan, M. Dimmock, D. H¨ausermann, and T. E. Gureyev, “X-ray Phase-Contrast Computed Tomog- raphy for Soft Tissue Imaging at the Imaging and Med- ical Beamline (IMBL) of the Australian Sy...
work page 2021
-
[4]
Simultaneous phase and amplitude extraction from a single defocused image of a homoge- neous object,
D. Paganin, S. C. Mayo, T. E. Gureyev, P. R. Miller, and S. W. Wilkins, “Simultaneous phase and amplitude extraction from a single defocused image of a homoge- neous object,”Journal of Microscopy, vol. 206, no. 1, pp. 33–40, 2002
work page 2002
-
[5]
A calibration CT mini- lung-phantom created by 3-D printing and subtractive manufacturing,
H. H. Guo, M. Persson, O. Weinheimer, J. Rosenberg, T. E. Robinson, and J. Wang, “A calibration CT mini- lung-phantom created by 3-D printing and subtractive manufacturing,” Journal of Applied Clinical Medical Physics, vol. 22, no. 6, pp. 183–190, Jun. 2021
work page 2021
-
[6]
J. H. Park, D. K. Kim, D. S. Kim, Y . Koh, S.-D. Lee, W. S. Kim, W. D. Kim, and S. I. Park, “Mortality and risk factors for surgical lung biopsy in patients with id- iopathic interstitial pneumonia,” European Journal of Cardio-Thoracic Surgery: Official Journal of the Euro- pean Association for Cardio-Thoracic Surgery , vol. 31, no. 6, pp. 1115–1119, Jun. 2007
work page 2007
-
[7]
Bronchoscopy and needle biopsy techniques for di- agnosis and staging of lung cancer,
P. Mazzone, P. Jain, A. C. Arroliga, and R. A. Matthay, “Bronchoscopy and needle biopsy techniques for di- agnosis and staging of lung cancer,” Clinics in Chest Medicine, vol. 23, no. 1, pp. 137–158, ix, Mar. 2002
work page 2002
-
[8]
Investigation of the imaging quality of synchrotron- based phase-contrast mammographic tomography,
T. E. Gureyev, S. C. Mayo, Y . I. Nesterets, S. Moham- madi, D. Lockie, R. H. Menk, F. Arfelli, K. M. Pavlov, M. J. Kitchen, F. Zanconati, C. Dullin, and G. Tromba, “Investigation of the imaging quality of synchrotron- based phase-contrast mammographic tomography,”Jour- nal of Physics D: Applied Physics , vol. 47, no. 36, p. 365401, Aug. 2014, publisher: ...
work page 2014
-
[9]
Y . I. Nesterets, T. E. Gureyev, S. C. Mayo, A. W. Steven- son, D. Thompson, J. M. C. Brown, M. J. Kitchen, K. M. Pavlov, D. Lockie, F. Brun, and G. Tromba, “A feasibil- ity study of X-ray phase-contrast mammographic tomog- raphy at the Imaging and Medical beamline of the Aus- tralian Synchrotron,” Journal of Synchrotron Radiation, vol. 22, no. 6, pp. 150...
work page 2015
-
[10]
Experimental optimization of the energy for breast-CT with synchrotron radiation,
P. Oliva, V . Di Trapani, F. Arfelli, L. Brombal, S. Donato, B. Golosio, R. Longo, G. Mettivier, L. Rigon, A. Taibi, G. Tromba, F. Zanconati, and P. Delogu, “Experimental optimization of the energy for breast-CT with synchrotron radiation,” Scientific Reports, vol. 10, no. 1, p. 17430, Oct. 2020, publisher: Nature Publishing Group. [Online]. Available: ht...
work page 2020
-
[11]
S. Wan, B. D. Arhatari, Y . I. Nesterets, S. C. Mayo, D. Thompson, J. Fox, B. Kumar, Z. Prodanovic, D. Hausermann, A. Maksimenko, C. Hall, M. Dimmock, K. M. Pavlov, D. Lockie, M. Rickard, Z. Gadomkar, A. Aminzadeh, E. Vafa, A. Peele, H. M. Quiney, S. Lewis, T. E. Gureyev, P. C. Brennan, and S. T. Taba, “Effect of x-ray energy on the radiological image qua...
work page 2021
-
[12]
I. Gunaseelan, A. Amin Zadeh, B. Arhatari, A. Mak- simenko, C. Hall, D. Hausermann, B. Kumar, J. Fox, H. Quiney, D. Lockie, S. Lewis, P. Brennan, T. Gureyev, and S. Tavakoli Taba, “Propagation-based phase-contrast imaging of the breast: image quality and the effect of X-ray energy and radiation dose,” The British Journal of Radiology, vol. 96, no. 1150, p...
work page 2023
-
[13]
L. Brombal, F. Arfelli, P. Delogu, S. Donato, G. Met- tivier, K. Michielsen, P. Oliva, A. Taibi, I. Sechopoulos, R. Longo, and C. Fedon, “Image quality comparison between a phase-contrast synchrotron radiation breast CT and a clinical breast CT: a phantom based study,” Scientific Reports, vol. 9, no. 1, p. 17778, Nov. 2019, publisher: Nature Publishing Gr...
work page 2019
-
[14]
Framework to op- timize fixed-length micro-CT systems for propagation- based phase-contrast imaging,
G. Lioliou, I. Buchanan, A. Astolfo, M. Endrizzi, D. Bate, C. K. Hagen, and A. Olivo, “Framework to op- timize fixed-length micro-CT systems for propagation- based phase-contrast imaging,” Optics Express, vol. 32, no. 4, pp. 4839–4856, Feb. 2024, publisher: Optica Pub- lishing Group
work page 2024
-
[15]
In situ phase contrast X-ray brain CT,
L. C. P. Croton, K. S. Morgan, D. M. Paganin, L. T. Kerr, M. J. Wallace, K. J. Crossley, S. L. Miller, N. Yagi, K. Uesugi, S. B. Hooper, and M. J. Kitchen, “In situ phase contrast X-ray brain CT,”Scientific Reports, vol. 8, 10 Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast no. 1, p. 11412, Jul. 2018, number: 1 Publ...
work page 2018
-
[16]
Interface- specific x-ray phase retrieval tomography of complex biological organs,
M. A. Beltran, D. M. Paganin, K. K. W. Siu, A. Fouras, S. B. Hooper, D. H. Reser, and M. J. Kitchen, “Interface- specific x-ray phase retrieval tomography of complex biological organs,” Physics in Medicine and Biology , vol. 56, no. 23, pp. 7353–7369, Nov. 2011, publisher: IOP Publishing
work page 2011
-
[17]
2D and 3D X-ray phase retrieval of multi- material objects using a single defocus distance,
M. A. Beltran, D. M. Paganin, K. Uesugi, and M. J. Kitchen, “2D and 3D X-ray phase retrieval of multi- material objects using a single defocus distance,” Optics Express, vol. 18, no. 7, pp. 6423–6436, Mar. 2010, pub- lisher: Optica Publishing Group
work page 2010
-
[18]
M. Ullherr and S. Zabler, “Correcting multi mate- rial artifacts from single material phase retrieved holo- tomograms with a simple 3D Fourier method,” Optics Express, vol. 23, no. 25, pp. 32 718–32 727, Dec. 2015, publisher: Optica Publishing Group
work page 2015
-
[19]
Imaging the Brain In Situ with Phase Contrast CT,
L. Croton, K. Morgan, D. Paganin, L. Kerr, M. Wallace, K. Crossley, G. Ruben, S. Miller, N. Yagi, K. Uesugi, S. Hooper, and M. Kitchen, “Imaging the Brain In Situ with Phase Contrast CT,” Microscopy and Microanaly- sis, vol. 24, no. S2, pp. 352–353, Aug. 2018, publisher: Cambridge University Press
work page 2018
-
[20]
R. P. Murrie, K. S. Morgan, A. Maksimenko, A. Fouras, D. M. Paganin, C. Hall, K. K. W. Siu, D. W. Parsons, and M. Donnelley, “Live small-animal X-ray lung ve- locimetry and lung micro-tomography at the Australian Synchrotron Imaging and Medical Beamline,” Journal of Synchrotron Radiation, vol. 22, no. 4, pp. 1049–1055, Jul. 2015
work page 2015
-
[21]
M. Saccomano, J. Albers, G. Tromba, M. Dobrivo- jevi´c Radmilovi ´c, S. Gajovi ´c, F. Alves, and C. Dullin, “Synchrotron inline phase contrast µCT enables detailed virtual histology of embedded soft-tissue samples with and without staining,”Journal of Synchrotron Radiation, vol. 25, no. Pt 4, pp. 1153–1161, Jul. 2018
work page 2018
-
[22]
Refraction-enhanced x-ray imaging of mouse lung using synchrotron radiation source,
N. Yagi, Y . Suzuki, K. Umetani, Y . Kohmura, and K. Yamasaki, “Refraction-enhanced x-ray imaging of mouse lung using synchrotron radiation source,” Medi- cal Physics, vol. 26, no. 10, pp. 2190–2193, Oct. 1999
work page 1999
-
[23]
Respiratory transition in the newborn: a three- phase process,
S. B. Hooper, A. B. t. Pas, and M. J. Kitchen, “Respiratory transition in the newborn: a three- phase process,” Archives of Disease in Childhood - Fetal and Neonatal Edition , vol. 101, no. 3, pp. F266–F271, May 2016, publisher: BMJ Publishing Group Section: Review. [Online]. Available: https: //fn.bmj.com/content/101/3/F266
work page 2016
-
[24]
Small angle x-ray scattering with edge-illumination,
P. Modregger, T. P. Cremona, C. Benarafa, J. C. Schittny, A. Olivo, and M. Endrizzi, “Small angle x-ray scattering with edge-illumination,” Scientific Reports, vol. 6, no. 1, p. 30940, Aug. 2016, number: 1 Publisher: Nature Pub- lishing Group
work page 2016
-
[25]
Emphysema quantified: mapping regional airway dimensions using 2D phase contrast X-ray imaging,
M. J. Kitchen, G. A. Buckley, L. T. Kerr, K. L. Lee, K. Uesugi, N. Yagi, and S. B. Hooper, “Emphysema quantified: mapping regional airway dimensions using 2D phase contrast X-ray imaging,” Biomedical Optics Express, vol. 11, no. 8, pp. 4176–4190, Aug. 2020, pub- lisher: Optica Publishing Group
work page 2020
-
[26]
Measurement of absolute regional lung air volumes from near-field x-ray speckles,
A. F. T. Leong, D. M. Paganin, S. B. Hooper, M. L. Siew, and M. J. Kitchen, “Measurement of absolute regional lung air volumes from near-field x-ray speckles,” Optics Express, vol. 21, no. 23, pp. 27 905–27 923, Nov. 2013, publisher: Optica Publishing Group
work page 2013
-
[27]
M. Silva, G. Picozzi, N. Sverzellati, S. Anglesio, M. Bar- tolucci, E. Cavigli, A. Deliperi, M. Falchini, F. Falaschi, D. Ghio, P. Gollini, A. R. Larici, A. V . Marchian`o, S. Pal- mucci, L. Preda, C. Romei, C. Tessa, C. Rampinelli, and M. Mascalchi, “Low-dose CT for lung cancer screening: position paper from the Italian college of thoracic radiol- ogy,”L...
work page 2022
-
[28]
T. B. Lanni, C. Stevens, M. Farah, A. Boyer, J. Davis, R. Welsh, D. Keena, A. Akhtar, and D. Mezwa, “Early Results From the Implementation of a Lung Cancer Screening Program: The Beaumont Health System Expe- rience,”American Journal of Clinical Oncology, vol. 41, no. 3, pp. 218–222, Mar. 2018
work page 2018
-
[29]
H.-U. Kauczor, A. L. Baert, and K. Sartor, Eds., Func- tional Imaging of the Chest , ser. Medical Radiology. Berlin, Heidelberg: Springer, 2004
work page 2004
-
[30]
Restrictions on use of X-ray radiation for tomography in humans,
E. N. Simonov, “Restrictions on use of X-ray radiation for tomography in humans,” Biomedical Engineering , vol. 38, no. 5, pp. 237–239, Sep. 2004. [Online]. Available: https://doi.org/10.1007/s10527-005-0006-2
-
[31]
Phase-contrast imaging using poly- chromatic hard X-rays,
S. W. Wilkins, T. E. Gureyev, D. Gao, A. Pogany, and A. W. Stevenson, “Phase-contrast imaging using poly- chromatic hard X-rays,” Nature, vol. 384, no. 6607, pp. 335–338, Nov. 1996, number: 6607 Publisher: Nature Publishing Group
work page 1996
-
[32]
Photon- counting x-ray detectors for CT,
M. Danielsson, M. Persson, and M. Sj ¨olin, “Photon- counting x-ray detectors for CT,” Physics in Medicine and Biology, vol. 66, no. 3, p. 03TR01, Jan. 2021
work page 2021
-
[33]
Spatial resolution, signal-to-noise and information capacity of linear imaging systems,
T. Gureyev, Y . Nesterets, and F. d. Hoog, “Spatial resolution, signal-to-noise and information capacity of linear imaging systems,” Optics Express , vol. 24, no. 15, pp. 17 168–17 182, Jul. 2016, publisher: Optica Publishing Group. [Online]. Available: https: //opg.optica.org/oe/abstract.cfm?uri=oe-24-15-17168
work page 2016
-
[34]
Fourier shell correlation threshold criteria,
M. van Heel and M. Schatz, “Fourier shell correlation threshold criteria,” Journal of Structural Biology , vol. 151, no. 3, pp. 250–262, Sep. 2005
work page 2005
-
[35]
Char- acterization of a CdTe single-photon-counting detector for biomedical imaging applications,
L. Fardin, C. Giaccaglia, P. Busca, and A. Bravin, “Char- acterization of a CdTe single-photon-counting detector for biomedical imaging applications,” Physica Medica, vol. 108, p. 102571, Apr. 2023
work page 2023
-
[36]
CT scans for children: Information for referrers | ARPANSA
“CT scans for children: Information for referrers | ARPANSA.” [Online]. Available: https://www.arpansa.gov.au/understanding-radiation/ radiation-sources/more-radiation-sources/ ct-imaging-and-children-referrers 11 Low-dose, high-resolution CT of infant-sized lungs via propagation-based phase contrast
-
[37]
Estimation of effective doses in pe- diatric X-ray computed tomography examination,
H. Obara, M. Takahashi, K. Kudou, Y . Mariya, Y . Takai, and I. Kashiwakura, “Estimation of effective doses in pe- diatric X-ray computed tomography examination,” Ex- perimental and Therapeutic Medicine, vol. 14, no. 5, pp. 4515–4520, Nov. 2017
work page 2017
-
[38]
I. I. Suliman, G. A. Khouqeer, N. A. Ahmed, M. M. Abuzaid, and A. Sulieman, “Low-Dose Chest CT Proto- cols for Imaging COVID-19 Pneumonia: Technique Pa- rameters and Radiation Dose,”Life, vol. 13, no. 4, p. 992, Apr. 2023
work page 2023
-
[39]
N. H. M. Tap, M. A. J. Sidek, S. F. M. Ridzwan, S. E. Selvarajah, F. M. Zaki, and H. A. Hamid, “Computed Tomography Dose in Paediatric Care: Simple Dose Es- timation Using Dose Length Product Conversion Coef- ficients,” The Malaysian Journal of Medical Sciences : MJMS, vol. 25, no. 4, pp. 82–91, Jul. 2018
work page 2018
-
[40]
APPROPRIATE USE OF EFFECTIVE DOSE IN RADIATION PROTECTION AND RISK ASSESSMENT,
D. R. Fisher and F. H. Fahey, “APPROPRIATE USE OF EFFECTIVE DOSE IN RADIATION PROTECTION AND RISK ASSESSMENT,” Health physics, vol. 113, no. 2, pp. 102–109, Aug. 2017
work page 2017
-
[41]
B. D. Balmer, C. Bl ¨uthgen, B. B¨assler, K. Martini, F. A. Huber, L. Ruby, A. Sch¨onenberger, and T. Frauenfelder, “Influence of CT Image Matrix Size and Kernel Type on the Assessment of HRCT in Patients with SSC-ILD,”Di- agnostics, vol. 12, no. 7, p. 1662, Jul. 2022, number: 7 Publisher: Multidisciplinary Digital Publishing Institute
work page 2022
-
[42]
D. J. Bartlett, C. W. Koo, B. J. Bartholmai, K. Rajendran, J. M. Weaver, A. F. Halaweish, S. Leng, C. H. McCol- lough, and J. G. Fletcher, “High-Resolution Chest CT Imaging of the Lungs: Impact of 1024 Matrix Recon- struction and Photon-Counting-Detector CT,” Investiga- tive radiology, vol. 54, no. 3, pp. 129–137, Mar. 2019
work page 2019
-
[43]
A. Euler, K. Martini, B. Baessler, M. Eberhard, F. Schoeck, H. Alkadhi, and T. Frauenfelder, “1024-pixel image matrix for chest CT – Impact on image quality of bronchial structures in phantoms and patients,” PLoS ONE, vol. 15, no. 6, p. e0234644, Jun. 2020
work page 2020
-
[44]
T. Miyata, M. Yanagawa, A. Hata, O. Honda, Y . Yoshida, N. Kikuchi, M. Tsubamoto, S. Tsukagoshi, A. Uranishi, and N. Tomiyama, “Influence of field of view size on image quality: ultra-high-resolution CT vs. conventional high-resolution CT,”European Radiology, vol. 30, no. 6, pp. 3324–3333, Jun. 2020
work page 2020
-
[45]
A. Hata, M. Yanagawa, O. Honda, N. Kikuchi, T. Miy- ata, S. Tsukagoshi, A. Uranishi, and N. Tomiyama, “Ef- fect of Matrix Size on the Image Quality of Ultra-high- resolution CT of the Lung: Comparison of 512 × 512, 1024 × 1024, and 2048 × 2048,” Academic Radiology, vol. 25, no. 7, pp. 869–876, Jul. 2018, publisher: Else- vier
work page 2048
-
[46]
H. Zhu, L. Zhang, Y . Wang, P. Hamal, X. You, H. Mao, F. Li, and X. Sun, “Improved image quality and diag- nostic potential using ultra-high-resolution computed to- mography of the lung with small scan FOV: A prospec- tive study,”PLoS ONE, vol. 12, no. 2, p. e0172688, Feb. 2017
work page 2017
-
[47]
M. Yanagawa, A. Hata, O. Honda, N. Kikuchi, T. Miyata, A. Uranishi, S. Tsukagoshi, and N. Tomiyama, “Subjec- tive and objective comparisons of image quality between ultra-high-resolution CT and conventional area detector CT in phantoms and cadaveric human lungs,” European Radiology, vol. 28, no. 12, pp. 5060–5068, 2018
work page 2018
-
[48]
Quantitative measurement of airway di- mensions using ultra-high resolution computed tomogra- phy,
N. Tanabe, T. Oguma, S. Sato, T. Kubo, S. Kozawa, H. Shima, K. Koizumi, A. Sato, S. Muro, K. Togashi, and T. Hirai, “Quantitative measurement of airway di- mensions using ultra-high resolution computed tomogra- phy,”Respiratory Investigation, vol. 56, no. 6, pp. 489– 496, Nov. 2018
work page 2018
-
[49]
A. Agostini, C. Floridi, A. Borgheresi, M. Badaloni, P. Esposto Pirani, F. Terilli, L. Ottaviani, and A. Gio- vagnoni, “Proposal of a low-dose, long-pitch, dual- source chest CT protocol on third-generation dual-source CT using a tin filter for spectral shaping at 100 kVp for CoronaVirus Disease 2019 (COVID-19) patients: a fea- sibility study,” La Radiolo...
work page 2019
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.