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Magnetic resonance imaging (MRI) is a medical imaging technique used in radiology to generate pictures of the anatomy and the physiological processes inside the body. MRI scanners use strong magnetic fields, magnetic field gradients, and radio waves to form images of the organs in the body. MRI does not involve X-rays or the use of ionizing radiation…
The analysis highlights History and Applications as prominent areas in the source structure around Magnetic resonance imaging.
Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.
Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Magnetic resonance imaging shows recurring relationship patterns in the source. For example, Magnetic resonance imaging → An, Biomedizinische NMR Forschungs GmbH, Collections, Critical Introduction, Education, EMRF, European Magnetic Resonance Forum, European Point, Exam, Expect During Your MRI, Genesis, Guided Tour, Human BodyA Short History, Images, IMRSER, Institute, LaboratoryThe Basics, Lauterbur, Magnetic Resonance Safety, MRI Another extracted example is Magnetic resonance imaging → An, B0, Balanced, FLASH MRI, In, MRI, Radial FLASH MRI, Real-time, Real-time MRI, RT-MRI, Traditionally. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
mri imaging magnetic used resonance contrast field agents signal image may images also nuclear use using tissue mr rf nmr
TTTA extracted 98 structured relationships around Magnetic resonance imaging. Examples in this analysis include Magnetic resonance imaging → ICD-9-CM → 88.91 and Magnetic resonance imaging → MedlinePlus → 003335. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Magnetic resonance imaging | ICD-9-CM | 88.91 | 1.00 | infobox |
| Magnetic resonance imaging | MedlinePlus | 003335 | 1.00 | infobox |
| Magnetic resonance imaging | MeSH | D008279 | 1.00 | infobox |
| Magnetic resonance imaging | Synonyms | Nuclear magnetic resonance imaging (NMRI), magnetic resonance tomography (MRT) | 1.00 | infobox |
| 3He or 129Xe must be hyperpolarized | instance of | Gaseous isotopes | 0.80 | text |
| then inhaled as their nuclear density is too low to yield a useful signal under normal conditions | instance of | Gaseous isotopes | 0.80 | text |
| bipolar disorder.Molecular imaging by MRIMRI has the advantages of having very high spatial resolution | instance of | this element finding use as an important drug for those with conditions | 0.80 | text |
| is very adept at morphological imaging | instance of | this element finding use as an important drug for those with conditions | 0.80 | text |
| functional imaging | instance of | this element finding use as an important drug for those with conditions | 0.80 | text |
| bipolar disorder | instance of | this element finding use as an important drug for those with conditions | 0.80 | text |
| catalysts.Being non-invasive | instance of | or to study molecular structures | 0.80 | text |
| non-damaging | instance of | or to study molecular structures | 0.80 | text |
The concept neighborhoods around Magnetic resonance imaging bring nearby vocabulary together. In this analysis, examples include Resonance, Field and Nuclear. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Magnetic resonance imaging, one of the stronger structural bridges in this analysis connects Magnetic resonance imaging with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
TTTA analyzes the structure around Magnetic resonance imaging to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Applications, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Magnetic resonance imaging · EN edition · Analysis: TopicsToTalkAbout