| Title |
PET/MRI: a frontier in era of complementary hybrid imaging
|
|---|---|
| Published in |
European Journal of Hybrid Imaging, June 2018
|
| DOI | 10.1186/s41824-018-0030-6 |
| Pubmed ID | |
| Authors |
Sikkandhar Musafargani, Krishna Kanta Ghosh, Sachin Mishra, Pachaiyappan Mahalakshmi, Parasuraman Padmanabhan, Balázs Gulyás |
| Abstract |
With primitive approaches, the diagnosis and therapy were operated at the cellular, molecular, or even at the genetic level. As the diagnostic techniques are more concentrated towards molecular level, multi modal imaging becomes specifically essential. Multi-modal imaging has extensive applications in clinical as well as in pre-clinical studies. Positron Emission Tomography (PET) has flourished in the field of nuclear medicine, which has motivated it to fuse with Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) for PET/CT and PET/MRI respectively. However, the challenges in PET/CT are due to the inability of simultaneous acquisition and reduced soft tissue contrast, which has led to the development of PET/MRI. Also, MRI offers the better soft tissue contrast over CT. Hence, fusion of PET and MRI results in combining structural information with functional image from PET. Yet, it has many technical challenges due to the interference between the modalities. Also, it must be resolved with various approaches for addressing the shortcomings of each system and improvise on the image quantification system. This review elaborates on the various challenges in the present PET/MRI system and the future directions of the hybrid modality. Also, the different data acquisition and analysis techniques of PET/MRI system are discussed with enhanced details on the software tools. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 83 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 13% |
| Student > Master | 10 | 12% |
| Researcher | 10 | 12% |
| Student > Bachelor | 9 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Other | 7 | 8% |
| Unknown | 33 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 16 | 19% |
| Engineering | 4 | 5% |
| Physics and Astronomy | 4 | 5% |
| Chemistry | 3 | 4% |
| Biochemistry, Genetics and Molecular Biology | 3 | 4% |
| Other | 16 | 19% |
| Unknown | 37 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 July 2018.
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#15,483,707
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Outputs from European Journal of Hybrid Imaging
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Outputs of similar age from European Journal of Hybrid Imaging
#1
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