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Target Outcome

This specification targets at volumetric reconstruction of a tissue of interest, specifically the definition of the boundaries of the tissue,

Prerequisites

Infrastructure

  • ITK-SNAP. ITK-SNAP is a software application used to segment structures in 3D medical images (GPL license, see http://www.itksnap.org).

  • Slicer. Slicer is a free, open source software package for visualization and image analysis (BSD-style open source license, see http://www.slicer.org).

  • MITK. The Medical Imaging Interaction Toolkit (MITK) is a free open source software platform aimed at providing support for an efficient software-development of methods and applications dealing with medical images (BSD-style license, see http://www.mitk.org).

  • SimpleITK. SimpleITK is a simplified layer built on top of ITK to facilitate its use in rapid prototyping of image analysis that can be used in interpreted languages, e.g. Python, (Apache 2.0 License license, see http://www.simpleitk.org/).

  • Convert3D. C3D is a command-line tool for converting 3D images between common file formats, which also includes a growing list of commands for image manipulation, such as thresholding and resampling (GPL license, see http://www.itksnap.org/pmwiki/pmwiki.php?n=Downloads.C3D).

Previous Protocols

For more details, see Specifications/ExperimentationAnatomicalImaging.

Protocols

Input

Set(s) of MRI in NifTI format

Overview

  1. Download desired image volume for the desired specimen (NifTI, .nii).
  2. Load the desired image volume into Slicer.
  3. Segment the tissue of interest using the detailed tissue specific segmentation procedures described below.
    • NOTES:
    • Save the segmented label map regularly to avoid losing tedious work through program crashes.
    • Segmented volume can be overlayed on other image sets to evaluate boundaries, however it can only be further edited when overlayed on MRIs with the same size/resolution as the MRI from which it was originally created.
  4. After completion of the segmentation, the volume should be exported as an image volume (NIFTI)

4. Generate a triangulated surface from all segmented tissues (without smoothing, this is considered a RAW STL) in STL format.

Image/Data Input Procedures

Load MRI data:

Load segmented label map image data (NifTI):

Importing a segmented label map to the "segment editor" module

* Load segmented label map image as described above. * From the “Modules” drop-down menu, select “Segment Editor”

Image/Data Output Procedures

Save segmented label map (as NifTI):

Save triangulated surface, STL (a.k.a. Slicer Model):

Exporting a label map from the "segment editor" module:

Viewing Options

Under the pin drop-down menu (under >> button) in any of the 2D slicer viewers:

Segmentation Procedures

Segmentation Setup

Manual Segmentation

For first time users, see

Grow-Cut Segmentation

Grow Cut Effect

Grow Cut Effect

Grow Cut Effect

Grow Cut Effect

Image Processing Procedures

Label Map Smoothing

Joint Smoothing

Joint smoothing is performed in the “Segment Editor” module

Generate Triangulated Surface (STL) from Label Map

Note: : In this stage a RAW STL is being created, therefore no smoothing procedures will be performed when generating the STL.

Tissue-Specific Procedures

Below are the guidelines for segmentation procedures based on tissue type.

Registration Markers

INPUT: general purpose MRI

Procedure for registration marker segmentation:

  1. Use level tracing effect (foreground label) to segment registration markers on various slices, in various orthogonal viewing planes.
  2. On slices which were segmented in the prior step, manually define the area surrounding the markers with a different color (background label)
  3. Apply the Grow Cut effect automatically segment the remaining regions of the registration marker (as described above).
  4. Remove the background label using the ChangeLabelEffect (as described in the Grow Cut procedure).

  5. FOR SPHERICAL FEMUR/TIBIA MARKERS:
    • Manually segment to fill in the screw hole on spherical registration markers on femur and tibia.
  6. IF MARKERS ARE PLASTIC SPHERES WITH ULTRASOUND GEL:
    • Manually segment to fill in bubbles using 'art' to define outer spherical boundary.

LABELS: FMR-M, FMR-L, FMR-P, TBR-M, TBR-L, TBR-P, PTR-S, PTR-M, PTR-L (includes bone and relative marker location, e.g. FMR-M is comprised of FM for femur, R for registration marker, and -M for medial).

oks001, femur and tibia registration markers (posterior):

Registration Marker Segmentation

Bones

INPUT: cartilage MRI (sagittal)

Procedure for bone segmentation:

  1. Perform Grow Cut segmentation procedure on desired bone
  2. Perform Label Map Smoothing to remove Grow Cut boundary noise
  3. Perform manual segmentation to more accurately define bone boundary
  4. Iteratively repeat last two steps until boundary is as desired

NOTE: Cortical bone will appear black in MR images, so outer edge of black cortical region defines the bone surface.

LABELS: FMB (femur), TBB (tibia), FBB (fibula), PTB (patella).

oks001, femur:

Femur Segmentation

oks001, tibia:

Tibia Segmentation

oks001, patella:

Patella Segmentation

oks001, fibula:

Fibula Segmentation

Cartilage

INPUT: cartilage MRI

Procedure for cartilage segmentation:

Cartilage segmentation should be informed by bone segmentation (i.e. use bone boundary to help define cartilage boundary).

LABELS: FMC (femoral), TBC-M (medial tibial), TBC-L (lateral tibial), PTC (patellar).

oks001, femur cartilage:

Femur Cartilage Segmentation

oks001, patella cartilage:

Patella Cartilage Segmentation

oks001, medial tibia cartilage:

Tibia Cartilage (Medial) Segmentation

oks001, lateral tibia cartilage:

Tibia Cartilage (Lateral) Segmentation

Menisci

INPUT: cartilage MRI

Procedure for menisci segmentation:

  1. Manual segmentation
  2. Label map smoothing
  3. Manual touch-up

Menisci segmentation should be informed by cartilage segmentation (i.e. use cartilage boundary to help define meniscus boundary).

LABELS: MNS-M (medial), MNS-L (lateral).

oks001, medial meniscus:

Meniscus (Medial) Segmentation

oks001, lateral meniscus:

Meniscus (Lateral) Segmentation

Connective Tissue - Ligaments & Tendons

Procedure for patellar ligament, quadriceps tendon, ACL, PCL (and any connective tissue when applicable):

Alternatively, one can display the ligament specific MRIs and the cartilage specific MRI in different windows. When linked, Slicer uses interpolation for coupled viewing of the image sets that are already spatially aligned. In return, one can do the segmentation on interpolated ligament MRIs using the cartilage MRI as the master volume for segmentation. This allows high resolution segmentation volume from images with lower resolution directly.

Procedure for LCL, etc.:

  1. Manual segmentation
  2. Label map smoothing
  3. Manual touch-up

Connective tissue segmentation should be informed by bone segmentation (i.e. use bone boundary to help define connective tissue boundary).

LABELS: ACL, PCL, LCL, PTL, QAT.

oks001, patellar ligament:

Patellar Ligament Segmentation

oks001, quadriceps tendon:

Quadriceps Tendon Segmentation

oks001, ACL:

Anterior Cruciate Ligament Segmentation

oks001, PCL:

Posterior Cruciate Ligament Segmentation

oks001, LCL:

Lateral Collateral Ligament Segmentation

Sample Results

3D SURFACE REPRESENTATION OF SEGMENTED REGIONS:

3D Reconstruction

3D Reconstruction

3D Reconstruction

3D Reconstruction

3D Reconstruction

3D Reconstruction

3D Reconstruction

3D Reconstruction

Output