1. NND Status Siemens AG Dr. Maria J. Costa NND Internal Review/Siemens/February 2015

2. Personnalized, child- and disease-specific musculo-skeletal modeling based on MRI T11.1 Automatic extraction of mass distribution and muscle volumes from MRI images D11.1 Automatic extraction method of mass distribution and muscle volumes [Month 18] NND Internal Review/Siemens/February 2015

3. 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

4. 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

5. 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)

6. 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

7. 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 similarity Best approach: bending neither too rigid nor too flexible 7.7mm mean landmark distance

8. Extraction of bone and muscle mass from MRI of healthy children NND Internal Review/Siemens/February 2015 Qualitative evaluation of different parameter configurations

9. 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]