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EJNMMI Physics is a peer-reviewed journal published by Springer Nature, covering Medical Imaging Techniques and Applications, Radiopharmaceutical Chemistry and Applications, Radiomics and Machine Learning in Medical Imaging.
| Publisher | Springer Nature |
|---|---|
| Reference style | Superscript numbered (Nature) Superscript — small raised numerals in the text 1. Smith, A., Jones, B. & Lee, C. A representative article title. EJNMMI Physics 12, 45–58 (2023).
Formats any DOI in EJNMMI Physics style. No sign-up. |
| Publishes research in | Medical Imaging Techniques and Applications Radiopharmaceutical Chemistry and Applications Radiomics and Machine Learning in Medical Imaging Radiation Detection and Scintillator Technologies Advanced Radiotherapy Techniques |
| ISSN | 2197-7364 |
| Citation impact (2-yr) | 3.1 |
| h-index | 54 |
| i10-index | 382 |
| Total citations | 14,511 |
| Article processing charge | $1,704 |
| Open access | Yes |
| Top institutions publishing here | Inserm |
| Journal website | ejnmmiphys.springeropen.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Citations each year’s papers have accumulated so far — the most recent years are still building up.
With the increased interest in new PET tracers, gene-targeted therapy, immunoPET, and theranostics, other radioisotopes will be increasingly used in clinical PET scanners, in addition to (18)F. Some of the most interesting radioisotopes with prospective use in the new fields are not pure short-range β(+) emitters but can be associated with gamma emissions in coincidence…
The idea of a very sensitive positron emission tomography (PET) system covering a large portion of the body of a patient already dates back to the early 1990s. In the period 2000-2010, only some prototypes with long axial field of view (FOV) have been built, which never resulted in systems used for clinical research. One…
While the first time-of-flight (TOF)-positron emission tomography (PET) systems were already built in the early 1980s, limited clinical studies were acquired on these scanners. PET was still a research tool, and the available TOF-PET systems were experimental. Due to a combination of low stopping power and limited spatial resolution (caused by limited light output of…
The search for novel image contrasts has been a major driving force in the magnetic resonance (MR) research community, in order to gain further information on the body's physiological and pathological conditions.Chemical exchange saturation transfer (CEST) is a novel MR technique that enables imaging certain compounds at concentrations that are too low to impact the…
To develop and evaluate the feasibility of a data-driven deep learning approach (deepAC) for positron-emission tomography (PET) image attenuation correction without anatomical imaging. A PET attenuation correction pipeline was developed utilizing deep learning to generate continuously valued pseudo-computed tomography (CT) images from uncorrected 18F-fluorodeoxyglucose (18F-FDG) PET images. A deep convolutional encoder-decoder network was trained to…
