Nathan DECAUX thesis defense

Address:

IMT Atlantique, Campus de Brest, Petit amphithéâtre

M. Nathan Decaux from the Data Science Department and LATIM Laboratory, will present his research about :

"Structure & function analysis from muscle MRI data"

 

 

Thesis defense notice

See more

Duchenne muscular dystrophy (DMD) is the most common neuromuscular disease in children, characterized by muscle degeneration leading to progressive generalized muscle weakness. This disease results in loss of ambulation before the age of 13, a major evolutionary milestone. Therefore, it is crucial to identify biomarkers related to motor function loss in order to assess the effectiveness of therapeutic treatments. Studies have shown that MRI data of the lower limbs are related to the severity of motor impairment. However, the predictive value of these MRI parameters has been little studied in the months preceding loss of ambulation. Moreover, the morphometry of these muscles has never been studied in this context, as obtaining precise and comparable 3D delineations between individual muscles is a time-consuming and tedious task.
In this context, we first propose to study existing methods for automatic segmentation of pediatric muscle MRI data. Then, we propose a new interactive segmentation approach dedicated to this data. Finally, we study the relationship between walking-related motor functions and calf muscle structures using data collected from children with DMD in the 2 years preceding loss of ambulation and at the time of loss of ambulation, compared to healthy children.

Organizer(s)

Thesis accreditation from IMT Atlantique with the Doctoral School SPIN

 

Keywords: segmentation, morphometry, DMD, deep learning

Published on 06.06.2024
 
1
 
2
 
3
 
4
 
5
 
6
 
7
 
8
 
9
 
10
 
11
 
12
 
13
 
14
 
15
 
16
 
17
 
18
 
19
 
20
 
21
 
22
 
23
 
24
 
25
 
26
 
27
 
28
 
29
 
30
 
31