
Welcome to the world of Healthcare wherein we will learn how 3D Modelling and 3D Printing has revolutionized patient surgeries. This entire beginner level course will be focused on getting ourselves comfortable with the Open Source and Free 3D Slicer Software, how to extract valuable patient specific information from Patient CT/MRI Scans and convert them to 3D Models that provide an extra dimension to imaging. We will also learn how to prepare these files for 3D Printing, so the manufacturing process is seamless. We will move onto explaining the different technologies in 3D Printing, how do you decide which technology to use based on its medical applications and in conclusion, we will share extended applications of the revolutionizing technology.
Adopt the disclaimer and explore the software for research purposes to learn design tools and perform complex segmentations, while avoiding use in clinical investigation.
In this Lecture, you will be guided in your process to download the Open Source and Free 3D Slicer Software from its official Website.
In this Lecture, you will be guided in your process to install the Open Source and Free 3D Slicer Software and create a convenient shortcut on the desktop.
The default software requires some extensions to be installed to enhance its functionality. In this Lecture, we will learn how to browse through the various extensions and install the one most valuable to our procedures.
A quick overview about all the Radiology knowledge you will gain in the whole section.
In this Lecture, you will quickly learn the history and basis of X-Rays.
In this Lecture, you will quickly learn the history and basis of CT Scans.
In this Lecture, you will learn how the different anatomies are 'photographed' in X-Rays and CTs.
In this Lecture, you will quickly learn the history and basis of MRI Scans.
In this Lecture, you will learn how the different anatomies are 'photographed' in MRI Scans and how they are differentiated from the CTs.
Launch the software, explore its layout, and import Dyken data to evaluate the skin based on its properties. Apply filters to the not so good skin to make it usable.
Explore the basic layout of 3D Slicer by locating the four sections, top toolbars, left operations, right data panels, bottom log, and importing data.
Customize 3D Slicer by reordering modules, adding favorites such as annotations, segmentations, simple filters, volume rendering, and models, and reviewing shortcuts to streamline workflows.
Explore the application menu and toolbar to add data, upload 3D files, and manage views. Learn to use modules, adjust layout, capture screenshots, and review view risks when loading data.
Explore the right section of CT imaging, learning how axial, coronal, and sagittal views reveal slices, windowing, and Hounsfield units to optimize tissue visualization.
Learn to use the slicer viewer menu to link or unlink coronal, sagittal, and 3D views, visualize slices with the eye tool, and switch volumes.
Navigate the slicer viewer menu to link three planes, rotate the red plane across axial, coronal, and sagittal views, and use orientation cues and ruler for CT scans.
Learn to load DICOM data by importing an entire folder, view anonymized patient and study details, and compare plane and bone datasets using image count and slice thickness.
Learn to qualify a scan by assessing volume data, slice thickness, distance, and image count; use windowing and histogram insights to ensure data quality before reconstruction.
Learn how to enhance granulated medical scans by applying binomial blur filters to improve image quality. Balance repetitions to reduce noise while preserving anatomy for usable 3d models.
Apply a median image filter to reduce metal artifacts in image data around a high-density implant, compare one, two, and three radius outputs, and balance artifact reduction with anatomy preservation.
Segment a spine from a patient scan and isolate individual vertebrae using the software, practicing along with the instructor to reinforce control and accuracy.
Learn to read a CT scan, orient anatomy in coronal and sagittal views, and begin segmentation with windowing while identifying heart and lungs.
Master multi-planar reconstruction (MPR) to visualize 2D DICOM data beyond standard axial, sagittal, and coronal views by rotating and adjusting planes. See angled cross-sections across slices for clearer anatomy.
Master reading spine anatomy in 2D and 3D, differentiate cervical, thoracic, and lumbar vertebrae, and identify vertebral body, spinous process, and the superior and inferior facets, with 3D visualization.
Learn how to create and adjust annotation ROI in volume rendering using 3D Slicer version 5.6.2, including enabling display ROI, selecting a volume, and cropping the box for live updates.
Explore volume rendering to visualize medical imaging data in 3D without segmentation, using presets to view kidneys, sternum, spine, and heart while defining regions of interest with annotations.
Learn how to segment MRI data to extract anatomy and create final 3D models for printing using the segment editor, prioritizing speed and multiple techniques.
Explore spine segmentation using thresholding in medical imaging software, adjust intensity ranges, verify with 3D and sagittal views, and refine segments with masking for a clean model.
Isolate the spine using the scissors tool to cut away surrounding tissue, then use islands to remove small fragments and keep the spine intact for a clear 3D view.
Fill and erase across slices using paint, adjust diameter with presets, and apply the seal brush to build a clean spine model across vertebral bodies and transverse processes for printing.
Threshold, Islands, Scissors tool
Local Threshold, Grow From Seeds, Islands, Scissors tools
Use logical operations to segment lumbar vertebrae L2 and L3 from the spine via copy, subtract, and mask techniques. Verify correct segment selection and refine intervertebral gaps to preserve anatomy.
Save your data regularly to back it up and prevent loss, then export segmented models as STL or OBJ, using visible segments and a scale of one.
Manage slow software performance by using smaller data loads and practicing patience, and protect your work by saving datasets frequently to prevent loss when crashes occur.
Build on CT bone extraction by learning to read MRI scans and isolate a brain tumor using multiple segmentation techniques. Explore visualization options to view STL files from the inside.
Learn to segment brain anatomy and extract tumors from MRI using 3D Laser, comparing gray and white matter, and using sagittal and coronal views to identify asymmetries.
Learn semi-automatic segmentation to isolate a tumor using threshold, scissors, and erase tools, refine margins, remove blood vessels, and produce a clean 3D tumor model ready for printing.
Apply film between slices to segment the tumor with a 176 to 96 masking threshold, then paint margins on select slices and enable overlap to refine results.
Learn to segment tumor using grow from seeds with seed and background segments, defining margins, refining with painting tools, and generating a 3D tumor model.
Demonstrates drawing tumor margins with a simple tool, adding segments, and growing from seeds to generate a 3D tumor outline. Compare interpolation methods and refine borders with scissors before applying.
Explore local thresholding and histogram tools to segment the brain and head from imaging data, define regions of interest, adjust intensity ranges, and generate a 3d brain model.
Master the segmentations module to view brain, skull, and tumor with adjustable opacity and colors. Learn to manage segment groups, toggle visibility, and export or import models and label maps.
Explore clipping to view targeted portions of segmentations in 3D models, and adjust slice intersections to reveal the region of interest in sagittal and coronal views.
Read the anatomy correctly and choose the fastest, most accurate segmentation method, using software as a tool while you, as the designer, guide the data-driven process.
Segment the mandible and the maxilla to create accurate 3d printed models. Leverage your mastery of 3d laser software to ensure precise anatomy for printing.
Learn to use growth from seeds and watershed to segment facial bones from cone beam CT data, isolate the maxilla and mandible, and refine with thresholding and post-processing.
Use grow from seeds to separate the mandible and maxilla by painting regions and initialising the segmentation within an editable intensity range, avoiding using the threshold tool.
Begin this section by learning how to segment the trachea and the lungs using simple tools, building foundational skills in medical imaging.
Learn to segment the trachea and lungs and read their anatomy using a quick, step-by-step 3D model, including bronchi generations, left and right lungs, and CT/MRI limitations.
Learn to segment the trachea using the flood fill tool, adjusting intensity tolerance and neighborhood size to create a smooth 3D model; compare smoothing methods to refine margins.
Learn to convert a solid trachea model into a hollow shell with controllable thickness using inner, medial, and outside surface options, enabling bronchoscope passage and education-specific planning.
Learn to select the volume of interest, focus on a specific area, and reduce the volume size by refining segmentation of interest.
Learn to manipulate medical imaging volumes to isolate regions of interest, identify the kidneys and the descending aorta, and recognize an abdominal aortic aneurysm.
Master 3D laser segmentation and learn how to fix 3D printing files to ensure reliable prints of anatomically segmented models.
Download and install meshmixer, a free 3D modeling tool to fix and create 3D models for printing, using Windows or Mac and easy-to-use repair features.
Explore the mesh mixer main window, use import to load 3D files in formats such as STL, and access left panel tools for select, sculpt, edit, analysis, and keyboard shortcuts.
Explore the range of 3D printing technologies, weigh their pros and cons, and select suitable materials for final applications after preparing segmentation-ready files.
Learn fused deposition modelling (fdm) basics: heated nozzle extrudes PLA filament layer by layer, with supports, single-color printing, and its use for simple anatomical models like bones and lungs.
Explore stereolithography, a resin-based method that uses UV light to cure liquid photo-polymer layers. See how top-down and bottom-up printing with laser projection and transparent models reveal internal anatomy.
Stratasys polyjet technology prints color, multi-material models in one go, combining skin, skull, brain, arteries, and lymph nodes with varying flexibility, using building and water-soluble shadow supports.
Wrap up by selecting FBB 3D printing after reviewing basic 3D printing tech, their applications for the anatomies, and the small differences that drive decision making for various applications.
This entire beginner level course will be focused on getting ourselves comfortable with the Open Source and Free 3D Slicer Software, how to extract valuable patient specific information from Patient CT/MRI Scans and convert them to 3D Models that provide an extra dimension to imaging. We will also learn how to prepare these files for 3D Printing, so the manufacturing process is seamless. We will move onto explaining the different technologies in 3D Printing, how do you decide which technology to use based on its medical applications and in conclusion, we will share extended applications of the revolutionizing technology.
This Open Source software is not intended for clinical use.