Personnalized, child- and disease-specific musculo-skeletal modeling based on MRI
T11.1 Automatic extraction of mass distribution and muscle volumes from MRI imagesD11.1 Automatic extraction method of mass distribution and muscle volumes [Month 18]
NND Internal Review/Siemens/February 2015
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
14 MRIs of healthy children, ages 8 to 15 years
Goal: Automatic extraction of muscle and bone masses
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
Challenges
Intensity bias Reconstruction artifacts
Movement artifacts
Anatomical differences / leg positions
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
Step 1: Create a reference (atlas)
Reference Subject
Manual annotation of 73 structures (3D meshes for bones, muscles, skin, feet)
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
Step 2: Robust registration of reference onto other subjects
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
Quantitative evaluation of different parameter configurations
Landmark distance Mesh similarityBest approach: bending neither too rigid nor too flexible 7.7mm mean landmark distance
Extraction of bone and muscle mass from MRI of healthy children
NND Internal Review/Siemens/February 2015
Qualitative evaluation of different parameter configurations
Extraction of bone and muscle mass from MRI of ill children
NND Internal Review/Siemens/February 2015
Current status
Prepared and delivered D. 11.1 concerning healthy children [M18]
MRI volumes of ill children (patients) available on Gnubila platform (OPBG):• 8 for DMD• 5 for CP • 5 for CMT
Ongoing volume conversion for processing.
Next Deliverable: D11.2: Development of novel scaling method [M36]