Radiological Sciences

Radiological Sciences provides assistance and technical expertise, through research capabilities in the following areas:

1. Artificial Intelligence Research and Deep Learning for Images:

Python de-deidentification script & Python facial de-identification script to ensure data confidentially.
Radiological labelling/annotating of research images, stored on an open source research PACS with XNAT.
Ground truth marking for supervised learning for AI.

2. Advance Magnetic Resonance Imaging Research; Molecular Imaging Research

Techniques we are proficient in include the following (non-exhaustive):

a) MRI-based

Dynamic Contrast Enhanced (DCE) MRI Perfusion Imaging for angiogenesis.

Diffusion Imaging (diffusion weighted; diffusion tensor; diffusion kurtosis) for tissue cellularity and fibrosis, and brain microstructual integrity.

Quantitative Susceptibility Imaging for iron loading neurodegeneration, hemorrhages and venous imaging.

Blood Oxygen Dependent Imaging (BOLD) for task based and resting state functional MRI brain activation.

Chemical Exchange Saturation Transfer (CEST) - Amide Proton Transfer (APT) for mobile proteins to characterise cellularity in malignancies.

MR Spectroscopy for metabolic semi-quantification.

Quantitative Susceptibility Mapping, Resting State MRI, Myelin Water Imaging for evaluation of brain dysmyelination in neurodegeneration such as Parkinson's Disease, chemobrain and other neurological conditions.

b) Radiotracer Imaging

Positron emission tomography (PET) scanning in animals and humans for presence of molecular targets.

Radiochemistry labeling of antibodies, proteins and small molecules to interrogate biology.

3. Enabling Imaging-based Population Health & Health Services Research

Anchor and enable population health screening-related projects through the use of cost-effective radiological tools. (e.g lung cancer screening, breast cancer screening, brain volume screening)

4. Assist with Randomised Controlled Trials for Medical Devices & 3D Printing

Trialing and development of medical devices.

Design and produce patient-specific 3D-printed anatomical models, surgical guides, appliances and implants for clinical care.

5. Structuring Radiology Reports for Organised Data Collection

Provide tagged and structured radiology reports for data analytics.

Clinical data can be prospectively entered into PACs reporting fields.

This data can be sent from PACS to RIS, and subsequently from RIS to Sunrise and eHINTS.

6. Assist with the Technical Aspects of Animal (Pre-clinical) Scanning at SingHealth Experimential Medicine Centre (SEMC) and A*STAR Institute of Bioengineering & Bioimaging (IBB)

Please contact Cheryl [email protected] if you have any queries:

Name	RADSC ACP Appointment
Prof Chan Ling Ling	Academic Vice Chair, Research
Dr Tran Nguyen Tuan Anh	Director, Artificial Intelligence Research
Dr Sumeet Kumar	Director, Advanced Magnetic Resonance Imaging Research
A/Prof Kelvin Loke	Director, Molecular Imaging Research
A/Prof Too Chow Wei	Director, Population Health and Health Services Research
A/Prof Apoorva Gogna	Director, Clinical Trials and Medical Devices Research
Ms Azizah Binte Mohamed Afif	Director, Radiography & Nursing Research