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Medical Imaging Pipeline Design: Acquisition to Clinical Decision

7 chapters · 35 lessons

1. 1. Imaging Physics and the Dose-Quality Tradeoff

   5 lessons

   Understand how radiation dose, acquisition time, and signal collection affect image quality across CT, radiography, fluoroscopy, and nuclear medicine.

2. 2. Reconstruction Methods and Computational Image Formation

   5 lessons

   Learn how raw detector data becomes diagnostic images through filtered back projection, iterative reconstruction, and model-based methods.

3. 3. Denoising and Post-Processing Without Losing Diagnostic Content

   5 lessons

   Design and evaluate denoising methods that suppress noise while preserving edges, textures, and subtle pathology.

4. 4. Clinical Validation and Reader Studies

   5 lessons

   Build validation frameworks that measure whether imaging pipeline changes preserve or improve diagnostic decision-making.

5. 5. Dose Reduction Strategies Across Modalities

   5 lessons

   Apply dose management techniques specific to CT, radiography, fluoroscopy, nuclear medicine, and non-ionizing modalities.

6. 6. Operational Integration and Workflow Design

   5 lessons

   Integrate dose-aware imaging pipelines into clinical workflows, PACS systems, and multi-site deployments.

7. 7. Continuous Monitoring and Performance Drift Detection

   5 lessons

   Build systems to detect when imaging pipeline performance degrades due to hardware changes, protocol drift, or population shifts.