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
ISEF · 2016
What Is the Antibiotic Effect on Gram Positive and Gram Negative Bacteria in a Magnetic Field?
ISEF · 2014
Optimizing Visible-Light Bacterial Eradication through Novel Fluorescent Monitoring Procedures
ISEF · 2017
Identifying Bacteria with "Fingerprints" Based on Laser Diffraction Patterns
ISEF · 2018
Investigating an Alternative Treatment Protocol for Commonly Occurring Pathogenic Bacteria: Escherichia coli, Methicillin-Resistant Staphylococcus aureus, and Listeria monocytogenes
ISEF · 2019
Examining the Potential of Selective Bacterial Lysis through Pulsed Magnetic Fields at the Resonant Frequency of the Escherichia coli Cell Membrane
CWSF · 2026
DEEP-GRAM: A Deep Learning Model for Gram Stain Species Prediction in Bloodstream Infections
Closest projects by meaning, across every fair and year in the corpus.
Browse more like this
Source: Regeneron International Science and Engineering Fair