 Phantoms, Imaging
"Phantoms, Imaging" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Devices or objects in various imaging techniques used to visualize or enhance visualization by simulating conditions encountered in the procedure. Phantoms are used very often in procedures employing or measuring x-irradiation or radioactive material to evaluate performance. Phantoms often have properties similar to human tissue. Water demonstrates absorbing properties similar to normal tissue, hence water-filled phantoms are used to map radiation levels. Phantoms are used also as teaching aids to simulate real conditions with x-ray or ultrasonic machines. (From Iturralde, Dictionary and Handbook of Nuclear Medicine and Clinical Imaging, 1990)
| Descriptor ID |
D019047
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| MeSH Number(s) |
E07.671
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| Concept/Terms |
Radiologic Phantoms- Radiologic Phantoms
- Phantoms, Radiologic
- Phantom, Radiologic
- Radiologic Phantom
Radiographic Phantoms- Radiographic Phantoms
- Phantoms, Radiographic
- Phantom, Radiographic
- Radiographic Phantom
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Below are MeSH descriptors whose meaning is more general than "Phantoms, Imaging".
Below are MeSH descriptors whose meaning is more specific than "Phantoms, Imaging".
This graph shows the total number of publications written about "Phantoms, Imaging" by people in this website by year, and whether "Phantoms, Imaging" was a major or minor topic of these publications.
To see the data from this visualization as text, click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1996 | 0 | 3 | 3 | | 1997 | 0 | 2 | 2 | | 2001 | 0 | 2 | 2 | | 2002 | 0 | 1 | 1 | | 2003 | 1 | 3 | 4 | | 2004 | 0 | 2 | 2 | | 2005 | 0 | 7 | 7 | | 2006 | 0 | 5 | 5 | | 2007 | 1 | 2 | 3 | | 2008 | 0 | 5 | 5 | | 2009 | 0 | 2 | 2 | | 2010 | 0 | 2 | 2 | | 2011 | 0 | 4 | 4 | | 2012 | 0 | 4 | 4 | | 2013 | 1 | 2 | 3 | | 2014 | 4 | 9 | 13 | | 2015 | 2 | 8 | 10 | | 2016 | 1 | 8 | 9 | | 2017 | 5 | 2 | 7 | | 2018 | 1 | 9 | 10 | | 2019 | 3 | 4 | 7 | | 2020 | 2 | 8 | 10 | | 2021 | 1 | 2 | 3 | | 2022 | 0 | 1 | 1 | | 2023 | 0 | 3 | 3 | | 2024 | 1 | 0 | 1 |
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Below are the most recent publications written about "Phantoms, Imaging" by people in Profiles.
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Adhikari G, Sarojasamhita VP, Powell VR, Farooqui A, Budzinski M, Garvey DT, Yang J, Katz D, Crouch B, Ramanujam N, Mueller JL. Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms. IEEE Trans Biomed Eng. 2024 May; 71(5):1488-1498.
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Zhou W, Huo D, Browne LP, Zhou X, Weinman J. Universal 120-kV Dual-Source Ultra-High Pitch Protocol on the Photon-Counting CT System for Pediatric Abdomen of All Sizes: A Phantom Investigation Comparing With Energy-Integrating CT. Invest Radiol. 2024 Oct 01; 59(10):719-726.
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Bayat F, Miller B, Park Y, Yu Z, Alexeev T, Thomas D, Stuhr K, Kavanagh B, Miften M, Altunbas C. 2D antiscatter grid and scatter sampling based CBCT method for online dose calculations during CBCT guided radiation therapy of pelvis. Med Phys. 2024 Apr; 51(4):3053-3066.
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Koons EK, Rajiah PS, Thorne JE, Weber NM, Kasten HJ, Shanblatt ER, McCollough CH, Leng S. Coronary artery stenosis quantification in patients with dense calcifications using ultra-high-resolution photon-counting-detector computed tomography. J Cardiovasc Comput Tomogr. 2024 Jan-Feb; 18(1):56-61.
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Deng B, Gu H, Zhu H, Chang K, Hoebel KV, Patel JB, Kalpathy-Cramer J, Carp SA. FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. IEEE Trans Med Imaging. 2023 08; 42(8):2439-2450.
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Nehra AK, Rajendran K, Baffour FI, Mileto A, Rajiah PS, Horst KK, Inoue A, Johnson TF, Diehn FE, Glazebrook KN, Thorne JE, Weber NM, Shanblatt ER, Gong H, Yu L, Leng S, McCollough CH, Fletcher JG. Seeing More with Less: Clinical Benefits of Photon-counting Detector CT. Radiographics. 2023 05; 43(5):e220158.
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Dwork N, O'Connor D, Johnson EMI, Baron CA, Gordon JW, Pauly JM, Larson PEZ. Optimization in the space domain for density compensation with the nonuniform FFT. Magn Reson Imaging. 2023 07; 100:102-111.
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Baffour FI, Huber NR, Ferrero A, Rajendran K, Glazebrook KN, Larson NB, Kumar S, Cook JM, Leng S, Shanblatt ER, McCollough CH, Fletcher JG. Photon-counting Detector CT with Deep Learning Noise Reduction to Detect Multiple Myeloma. Radiology. 2023 01; 306(1):229-236.
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Bayat F, Eldib ME, Kavanagh B, Miften M, Altunbas C. Concurrent kilovoltage CBCT imaging and megavoltage beam delivery: suppression of cross-scatter with 2D antiscatter grids and grid-based scatter sampling. Phys Med Biol. 2022 08 09; 67(16).
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Inoue A, Johnson TF, White D, Cox CW, Hartman TE, Thorne JE, Shanblatt ER, Johnson MP, Carter RE, Lee YS, Rajendran K, Leng S, McCollough CH, Fletcher JG. Estimating the Clinical Impact of Photon-Counting-Detector CT in Diagnosing Usual Interstitial Pneumonia. Invest Radiol. 2022 Nov 01; 57(11):734-741.
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