Can MRI Be Used as a Novel Technique to Diagnose Human Bacterial Blood Infections?
Overview
The purpose of this project was to evaluate whether the FS-T1 and FS-T2 MRI sequences can consistently detect and differentiate Gram-positive and Gram-negative bacterial species in human blood from subjects of different ages and genders and at different concentrations. This student hypothesized that the Gram-positive and Gram-negative bacterial species could be differentiated due to the structural and chemical differences in their cell walls. This student designed and conducted 3 experiments for this project. In experiment 1, it was tested whether the FS-T1 and FS-T2 MRI sequences could differentiate between Gram-positive and Gram-negative bacterial species in human blood. In experiment 2, it was tested whether the MRI sequences could differentiate between Gram-positive and Gram-negative bacterial species in blood from subjects of different ages and genders. In experiment 3, it was tested whether the MRI sequences could differentiate between Gram-positive and Gram-negative bacterial species in blood at lower concentrations. The bacteria were scanned using a Siemens MAGNETOM Symphony 1.5 Tesla MRI machine with the FS-T1 and FS-T2 MRI pulse sequences. The MRI signal intensity values were measured using a DR PACS computer. A total of 1,100 measurements were taken and entered into a Microsoft Excel spreadsheet to be analyzed. The results of this project showed that the FS-T1 and FS-T2 MRI sequences can consistently differentiate Gram-positive and Gram-negative bacterial species in human blood. In conclusion, this project was the first attempt of using MRI for rapid and accurate bacterial identification in human blood. The findings could potentially generate a major impact on diagnosing human bacterial blood infections and combating antibiotic resistance.
Competition history
- ISEF 2016
Resources
Related projects
ISEF · 2015
Can Magnetic Resonance Imaging (MRI) Differentiate between Gram-positive and Gram-negative Bacteria Species in Human Blood?
ISEF · 2020
Micro-morphological Analysis Towards an Enhanced Diagnosis of Osteomyelitic Bone
CSEF · 2016
The Effects of Ultrasound on Magnetic Bacteria for a Cancer Therapy
ISEF · 2016
What Is the Antibiotic Effect on Gram Positive and Gram Negative Bacteria in a Magnetic Field?
CSEF · 2019
Using Machine Learning and Surface Enhanced Raman Spectroscopy to Analyze the Effects of Antibiotics on P. aeruginosa
CSEF · 2005
Identification of a New Class of Antibiotics against MRSA
ISEF · 2014
Optimizing Visible-Light Bacterial Eradication through Novel Fluorescent Monitoring Procedures
ISEF · 2017
Identifying Bacteria with "Fingerprints" Based on Laser Diffraction Patterns
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: Regeneron International Science and Engineering Fair