Searching the RRID Resource Information Network
Are you sure you want to leave this community? Leaving the community will revoke any permissions you have been granted in this community.
URL: https://www.news-medical.net/Ingenia-30T-MRI-Scanner-from-Philips
Proper Citation: Philips: Ingenia 3.0T MRI Scanner (RRID:SCR_025998)
Description: First digital broadband MR system. MRI scanner samples the Magnetic Resonance signal directly in the coil on the patient, and sends it to the reconstructor via fiber-optic cable. Enables imaging with fewer coils and reduce patient set up time.
Synonyms: Ingenia 3.0T MRI Scanner
Resource Type: instrument resource
Keywords: MRI, scanner, samples, Magnetic Resonance, imaging,
Expand AllWe found {{ ctrl2.mentions.all_count }} mentions in open access literature.
We have not found any literature mentions for this resource.
We are searching literature mentions for this resource.
Most recent articles:
{{ mention._source.dc.creators[0].familyName }} {{ mention._source.dc.creators[0].initials }}, et al. ({{ mention._source.dc.publicationYear }}) {{ mention._source.dc.title }} {{ mention._source.dc.publishers[0].name }}, {{ mention._source.dc.publishers[0].volume }}({{ mention._source.dc.publishers[0].issue }}), {{ mention._source.dc.publishers[0].pagination }}. (PMID:{{ mention._id.replace('PMID:', '') }})
Check
for all resource mentions.
A list of researchers who have used the resource and an author search tool
A list of researchers who have used the resource and an author search tool. This is available for resources that have literature mentions.
No rating or validation information has been found for Philips: Ingenia 3.0T MRI Scanner.
No alerts have been found for Philips: Ingenia 3.0T MRI Scanner.
Source: SciCrunch Registry
The NIDDK Information Network (dkNET) serves the needs of basic and clinical investigators by providing seamless access to large pools of data and research resources relevant to the mission of The National Institute of Diabetes Digestive and Kidney Diseases (NIDDK). dkNET is hosted at University of California San Diego, and is supported by NIH NIDDK grant U24DK097771.
Email: info_at_ dknet.org
