QMI provides a comprehensive scientific and engineering forum for the advancement of quantitative imaging algorithms and methods.
Healthcare continues to seek improved quantitative medical imaging biomarkers with which to better diagnose, treat, and monitor the health of patients. The focus of the QMI meeting is to advance the science of medical imaging algorithms and systems designed to calculate objective, effective, and reproducible quantitative imaging biomarkers. The meeting will cover both basic and applied research on image-based detection and measurement methods for all medical imaging modalities including current image acquisition methods, such as CT, X-Ray, MRI, PET, Ultrasound, Nuclear, as well as emerging biomedical image acquisition methods, such as OCT and thermography. An emphasis will be placed on automated methods and the optimization of imaging systems and image analysis algorithms. The meeting will cover research topics relevant to optimizing imaging biomarker performance including medical imaging algorithms, such as segmentation and registration algorithms, and medical imaging physics, such as image reconstruction, quality assurance phantoms, image quality metrics, and image correction methods. Optimization of algorithm performance with respect to image modality parameters, such as fundamental imaging characteristics and radiation dose, is highly relevant to this meeting. The integration of these methodologies in Computer-Aided Detection and Diagnostic systems will also be covered. The meeting program will mainly consist of scientific paper presentations with sufficient time allotted for Q&A and comments. Research on quantitative metrics for all imaging methods involved in patient care is sought, including but not limited to diffusion tensor imaging, CT perfusion, cardiac calcification, and the analysis of histology and pathology images. The meeting will emphasize demonstrating scientific reproducibility, thus algorithm performance challenges and open science practices will be encouraged.
Topic Categories
1. Quantitative Methods for All Medical Imaging Modalities, including
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Computed Tomography
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Positron Emission Tomography
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Magnetic Resonance
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X-ray
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Ultrasound
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Nuclear
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Optical Computed Tomography
2. Quantitative Medical Imaging Algorithms, including
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CT Lung Lesion Sizing
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CT COPD Measurement
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CT Cardiac Calcification Scoring
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CT Cardiac Function
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CT Perfusion Algorithms
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PET SUV Measurement
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CT and MRI Vascular Measurement
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Diffusion Weighted Imaging MRI
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Dynamic Contrast Enhancement MRI
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MR Spectroscopy
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MR Cardiac Function
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Ultrasound Lesion Sizing
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Ultrasound Flow
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Ultrasound Cardiac Function
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Alzheimer’s Disease Structural MRI
3. Quantitative Clinical Application Algorithms Areas, including
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Computer Aided Risk Assessment
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Computer Aided Detection
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Computer Aided Diagnosis
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Computer Aided Therapy Assessment
4. Automated and Semi-Automated Measurement Algorithms
5. Medical Image Reconstruction
6. Image Correction
7. Image Quality Assessment