Signal and Image Processing Group
Research Overview
Signal and Image processing (SIP) Group’s main focus is on the development of signal and image processing systems and algorithms. Combining machine learning techniques, biological vision models and signal statistics, the group develops advanced image analysis tools for SBIC. The SIP actively participates in ongoing and future projects of SBIC and actively collaborates with all the groups. SIP also focuses on development of novel algorithms for post-processing to extract meaningful information which enables detection, characterization and quantification of clinically significant information. SIP aims to develop new skills and knowledge in advanced multi-modal image acquisition (MR, CT, PET, Optical), signal, and image processing, contribute to IP and publish in prestigious journals.
SIP is currently focused on using machine learning and deep learning for MR data processing applications such as image super-resolution, image reconstruction from partial k-space acquisition and generation of quantitative maps. This work is aimed at reducing imaging related costs, patient discomfort, enabling new diagnostic biomarkers and increasing the imaging throughput efficiency. Apart from the above, we are also working on automatic brain extraction and segmentation of marmoset images, Identification of ROIs involved in remembering and recollection process from fMRI images, Stroke lesion segmentation from un-enhanced CT and segmentation of ventricular system and brain structures for NPH.
We also collaborate internally (within SBIC) and externally on MR imaging and Image processing projects. Some of the ongoing projects are
| Projects (Ongoing) | Collaboration with |
| Imaging Vulnerable Carotid Atherosclerotic Plaques | TGIC, SBIC |
| Automatic monitoring and classification of mouse behaviour | NMNCG, SBIC |
| Postnatal Radiation Exposure-Induced Changes in Brain Development, Cognition and Aging | SNRSI, NUS |
| Alterations in brain structure and functions due to TBI and correlation with AD biomarkers | QBI, Australia |
| Fetal Imaging – Sequence and post-processing development | MRMethods group, KK Hospital and Siemens |
Our past projects:
| Project (Completed) | Collaboration with |
| Multimodal characterization of Brown adipose tissue | |
| Abdominal fat quantitation in rodents and Standardization of Fat-Water | MIG Group |
| Whole brain temperature measurement and analysis in TBI | DSO |
| Automatic quantification of human abdominal visceral, superficial & deep subcutaneous fat compartments | SICS & SAMS |
| Adipogenesis & Fluorescent Image Analysis | SCFMG |
| Texture based classification & grading of paediatric Brain Tumour | KK Hospital |
| Marmoset Brain extraction and segmentation | SigN & KK Hospital |
Mission
The Signal and Image Processing (SIP) group is a supporting group whose purpose is to create, develop and implement state-of-the-art signal and image processing resources to SBIC; educate the SBIC’s scientific groups in signal and image processing; and provide a platform for researchers of SBIC to interact and exchange ideas in post-processing.
Vision
The Signal and Image Processing (SIP) group aims to be the distinguished information and resources group in signal and image processing to SBIC. We achieve this by providing a variety of state-of-the art algorithms to SBIC research problems that are customized to each group; adapting/updating to a rapidly changing technical know-how; and being closely involved in the post-processing activities of each group at all levels.
People