"Subtraction Technique" 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.
Combination or superimposition of two images for demonstrating differences between them (e.g., radiograph with contrast vs. one without, radionuclide images using different radionuclides, radiograph vs. radionuclide image) and in the preparation of audiovisual materials (e.g., offsetting identical images, coloring of vessels in angiograms).
Descriptor ID |
D013382
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MeSH Number(s) |
E01.370.350.760
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Concept/Terms |
Subtraction Technique- Subtraction Technique
- Subtraction Techniques
- Technique, Subtraction
- Techniques, Subtraction
- Subtraction Technic
- Subtraction Technics
- Technic, Subtraction
- Technics, Subtraction
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Below are MeSH descriptors whose meaning is more general than "Subtraction Technique".
Below are MeSH descriptors whose meaning is more specific than "Subtraction Technique".
This graph shows the total number of publications written about "Subtraction Technique" by people in this website by year, and whether "Subtraction Technique" 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 |
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2004 | 3 | 1 | 4 |
2005 | 0 | 1 | 1 |
2007 | 2 | 0 | 2 |
2008 | 1 | 0 | 1 |
2009 | 1 | 1 | 2 |
2011 | 0 | 1 | 1 |
2012 | 1 | 0 | 1 |
2015 | 1 | 0 | 1 |
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Below are the most recent publications written about "Subtraction Technique" by people in Profiles.
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James GA, Hazaroglu O, Bush KA. A human brain atlas derived via n-cut parcellation of resting-state and task-based fMRI data. Magn Reson Imaging. 2016 Feb; 34(2):209-18.
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Hoxworth JM, Trentman TL, Kotsenas AL, Thielen KR, Nelson KD, Dodick DW. The role of digital subtraction myelography in the diagnosis and localization of spontaneous spinal CSF leaks. AJR Am J Roentgenol. 2012 Sep; 199(3):649-53.
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Pu J, Paik DS, Meng X, Roos JE, Rubin GD. Shape "break-and-repair" strategy and its application to automated medical image segmentation. IEEE Trans Vis Comput Graph. 2011 Jan; 17(1):115-24.
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Carton AK, Gavenonis SC, Currivan JA, Conant EF, Schnall MD, Maidment AD. Dual-energy contrast-enhanced digital breast tomosynthesis--a feasibility study. Br J Radiol. 2010 Apr; 83(988):344-50.
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Ricco S, Chen M, Ishikawa H, Wollstein G, Schuman J. Correcting motion artifacts in retinal spectral domain optical coherence tomography via image registration. Med Image Comput Comput Assist Interv. 2009; 12(Pt 1):100-7.
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Roedl JB, Sahani DV, Colen RR, Fischman AJ, Mueller PR, Blake MA. Tumour length measured on PET-CT predicts the most appropriate stage-dependent therapeutic approach in oesophageal cancer. Eur Radiol. 2008 Dec; 18(12):2833-40.
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Sun S, Rubin GD, Paik D, Steiner RM, Zhuge F, Napel S. Registration of lung nodules using a semi-rigid model: method and preliminary results. Med Phys. 2007 Feb; 34(2):613-26.
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Zheng Y, Yu J, Kambhamettu C, Englander S, Schnall MD, Shen D. De-enhancing the dynamic contrast-enhanced breast MRI for robust registration. Med Image Comput Comput Assist Interv. 2007; 10(Pt 1):933-41.
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Barrance PJ, Williams GN, Novotny JE, Buchanan TS. A method for measurement of joint kinematics in vivo by registration of 3-D geometric models with cine phase contrast magnetic resonance imaging data. J Biomech Eng. 2005 Oct; 127(5):829-37.
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Chiang S, Cardi C, Matej S, Zhuang H, Newberg A, Alavi A, Karp JS. Clinical validation of fully 3-D versus 2.5-D RAMLA reconstruction on the Philips-ADAC CPET PET scanner. Nucl Med Commun. 2004 Nov; 25(11):1103-7.