TY - GEN
T1 - Detecting multiple sclerosis lesions with a fully bioinspired visual attention model
AU - Villalon-Reina, Julio
AU - Gutierrez-Carvajal, Ricardo
AU - Thompson, Paul M.
AU - Romero-Castro, Eduardo
PY - 2013
Y1 - 2013
N2 - The detection, segmentation and quantification of multiple sclerosis (MS) lesions on magnetic resonance images (MRI) has been a very active field for the last two decades because of the urge to correlate these measures with the effectiveness of pharmacological treatment. A myriad of methods has been developed and most of these are non specific for the type of lesions, e.g. they do not differentiate between acute and chronic lesions. On the other hand, radiologists are able to distinguish between several stages of the disease on different types of MRI images. The main motivation of the work presented here is to computationally emulate the visual perception of the radiologist by using modeling principles of the neuronal centers along the visual system. By using this approach we were able to successfully detect multiple sclerosis lesions in brain MRI. This type of approach allows us to study and improve the analysis of brain networks by introducing a priori information.
AB - The detection, segmentation and quantification of multiple sclerosis (MS) lesions on magnetic resonance images (MRI) has been a very active field for the last two decades because of the urge to correlate these measures with the effectiveness of pharmacological treatment. A myriad of methods has been developed and most of these are non specific for the type of lesions, e.g. they do not differentiate between acute and chronic lesions. On the other hand, radiologists are able to distinguish between several stages of the disease on different types of MRI images. The main motivation of the work presented here is to computationally emulate the visual perception of the radiologist by using modeling principles of the neuronal centers along the visual system. By using this approach we were able to successfully detect multiple sclerosis lesions in brain MRI. This type of approach allows us to study and improve the analysis of brain networks by introducing a priori information.
KW - Artificial vision
KW - Magnetic resonance imaging
KW - Multiple sclerosis
KW - Visual attention
UR - http://www.scopus.com/inward/record.url?scp=84891295592&partnerID=8YFLogxK
U2 - 10.1117/12.2042046
DO - 10.1117/12.2042046
M3 - Conference contribution
AN - SCOPUS:84891295592
SN - 9780819498090
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - IX International Seminar on Medical Information Processing and Analysis
T2 - IX International Seminar on Medical Information Processing and Analysis
Y2 - 11 November 2013 through 14 November 2013
ER -