Get Started with Medical Imaging Toolbox
Medical Imaging Toolbox™ provides apps, functions, and workflows for designing and testing diagnostic imaging applications. You can perform 3D rendering and visualization, multimodal registration, and segmentation and labeling of radiology images. The toolbox also lets you train predefined deep learning networks (with Deep Learning Toolbox™).
You can import, preprocess, and analyze radiology images from various imaging modalities, including projected X-ray imaging, computed tomography (CT), magnetic resonance imaging (MRI), ultrasound (US), and nuclear medicine (PET, SPECT). The Medical Image Labeler app lets you semi-automate 2D and 3D labeling for use in AI workflows. You can perform multimodal registration of medical images, including 2D images, 3D surfaces, and 3D volumes. The toolbox provides an integrated environment for end-to-end computer-aided diagnosis and medical image analysis.
- Read, Process, and Write 3-D Medical Images
Import and display a medical image volume in patient coordinates, apply a smoothing filter.
- Display 3-D Medical Image Data in Patient Coordinate System
Visualize volumetric CT data with anisotropic voxel dimensions in the patient coordinate system.
- Get Started with Medical Image Labeler
Interactively label 2-D or 3-D medical image data.
About Medical Imaging
- Introduction to Medical Imaging
Learn about common modalities and workflows used in medical image analysis.
- Medical Image Coordinate Systems
Learn how image locations are defined in the intrinsic and patient coordinate systems.