NND StatusSiemens AG

Dr. Maria J. Costa

NND Internal Review/Siemens/February 2015

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]