QMISG Overview
The Quantitative MR Imaging and Spectroscopy Group (QMISG), established in 2012 at the Research Center for Molecular and Cellular Imaging (RCMCI), is a pioneering multidisciplinary team focused on magnetic resonance quantification. Our diverse group of researchers, scientists, and physicians is dedicated to advancing medical imaging. QMISG is at the forefront of integrating artificial intelligence (AI) into MRI, developing innovative tools that enhance diagnostic accuracy and decision-making. By leveraging AI, we revolutionize imaging data analysis, leading to more precise and timely diagnoses, ultimately improving patient outcomes. In addition to our AI initiatives, QMISG actively engages in pulse sequence design for both 7T animal MRI and 1.5T human MRI, optimizing imaging protocols for higher resolution and contrast. This work facilitates better visualization of anatomical and physiological changes, enhancing our understanding of disease mechanisms and supporting treatment monitoring. Committed to advancing MRI technology and computational methodologies, our interdisciplinary approach aims to provide a robust framework for accurate disease diagnosis and ongoing health assessment, significantly contributing to the future of medical imaging and patient care.
Our Mission
At the Quantitative MR Imaging and Spectroscopy Group (QMISG), we are transforming magnetic resonance imaging (MRI) and spectroscopy (MRS) by integrating fundamental scientific principles with advanced imaging technologies. Our core objectives include:
• Enhancing Healthcare: We leverage engineering, sciences, and veterinary medicine expertise to improve patient outcomes with innovative MRI techniques.
• Optimizing Treatment Planning: We refine treatment planning and decision-making in clinical applications like cancer therapy by employing advanced imaging methodologies.
• Monitoring Treatment Response: Our analysis and quantification of MR images enable effective monitoring of treatment responses for tailored patient care.
• Advanced Image Processing: We engage in in-vitro and in-vivo image processing to enhance our understanding of disease mechanisms.
• Pulse Sequence Design: We focus on designing advanced pulse sequences for high-field MRI, facilitating research in both animal and human studies.
Through these initiatives, QMISG is dedicated to investigating biomarkers of disease progression, driving innovation in diagnostic accuracy and patient management in medical imaging.
Our Activities
Mega-Projects:
1. Cortical Bone Quality Assessment: Developing methods to evaluate cortical bone quality using advanced imaging techniques.
2. Brain Tumor Contouring and Diagnosis: Enhancing diagnostic accuracy through precise tumor delineation.
3. Prostate Cancer Screening and Classification: Implementing advanced imaging techniques for effective prostate cancer screening and classification.
4. Breast Lesion Detection and Diagnosis: Utilizing MRI for detecting and diagnosing breast lesions.
5. Alzheimer’s Disease Classification, Screening, and Prediction: Developing imaging biomarkers for early detection and monitoring of Alzheimer’s disease.
6. Ovarian Masses Screening and Classification: Improving diagnostic methods for ovarian masses through advanced imaging.
7. Epilepsy Foci Detection: Enhancing the identification of epileptic foci with MRI techniques.
8. Liver Disease Quantification: Implementing quantitative imaging methods for assessing liver diseases.
Research Priorities of QMISG
- Oncological Applications of Magnetic Resonance Imaging/Spectroscopy: We develop advanced imaging protocols for various oncological applications, including:
- Brain Tumor Contouring and Diagnosis: Enhancing diagnostic accuracy through precise delineation of brain tumors.
- Breast Lesion Detection and Diagnosis: Utilizing MRI technologies for effective detection and diagnosis of breast lesions.
- Prostate Cancer Screening and Classification: Implementing advanced imaging techniques for accurate screening and classification of prostate cancer.
- Ovarian Masses Screening and Classification: Improving diagnostic methodologies for ovarian masses through advanced imaging approaches.
- Biomarker Development: We focus on developing imaging biomarkers facilitating early detection and monitoring of diseases, including:
- Cortical Bone Quality Assessment: Evaluating cortical bone quality in conditions such as osteoporosis.
- Alzheimer’s Disease Classification, Screening, and Prediction: Creating biomarkers for the early detection and ongoing monitoring of Alzheimer’s disease.
- Liver Disease Quantification: Utilizing quantitative imaging methods to assess liver diseases, supporting better diagnosis and treatment planning.
- Applications of Neuroimaging: Our research enhances diagnostic capabilities for neuro-pathologies, focusing on:
- Epilepsy Foci Detection: Improving identification of epileptic foci via advanced MRI techniques.
- Assessment of Multiple Sclerosis, Brain Tumors, and Stroke: Developing imaging methods to improve the diagnosis of various neuro-pathologies.
