The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
The Hidden Markov Brains
Abstract
This chapter presents Hidden Markov models (HMM) of the brain on Magnetic Resonance Imaging (MRI) for the inference of white matter hyperintensities and brain age prediction to study the bidirectional vascular depression hypothesis in the elderly and neurodegenerative diseases, respectively. Rating and quantification of cerebral white matter hyperintensities on magnetic resonance imaging are important tasks in various clinical and scientific settings. The authors have proposed that prior knowledge about white matter hyperintensities can be accumulated and utilised to enable a reliable inference of the rating of a new white matter hyperintensity observation. The use of HMM for rating inference of white matter hyperintensities can be used as a computerized rating-assisting tool and can be very economical for diagnostic evaluation of brain tissue lesions. They have also applied HMM for MRI-based brain age prediction. Cortical thinning and intracortical gray matter volume losses are widely observed in normal ageing, while the decreasing rate of the volume loss in subjects with neurodegenerative diseases such as Alzheimer’s disease is reported to be faster than the average speed. Therefore, neurodegenerative disease is considered as accelerated aging. Accurate detection of accelerated ageing of the brain is a relatively new direction of research in computational neuroscience, as it has the potential to offer positive clinical outcome through early intervention.
Related Content
|
Nadia Ouzennou, Mohamed Aboufaras.
© 2025.
8 pages.
|
|
Imane Barakat, Khalid Barkat, Ikram Baha, Hind Boujguenna, Asma Chaoui, Keltoum Boutahar.
© 2025.
28 pages.
|
|
Rquia Laabidi, Mounia Amane, Saloua Lamtali, Samia Boussaa, Latifa Adarmouch.
© 2025.
14 pages.
|
|
Nawal Elansari, Rabab Loufsahi, Fatima Zahra Ghanimi, Samia Boussaa, Mounia Amane.
© 2025.
24 pages.
|
|
Mohammed El Rhanbouri, Mounia Amane, Abdelhafid Benksim, Abdelati Oussous.
© 2025.
44 pages.
|
|
Amina El Fahli, Mounia Amane, Samia Boussaa, Saloua Lamtali.
© 2025.
26 pages.
|
|
El Mahjoub El Harsi, Abdelhafid Benksim, Fatima Ezzahra Kasmaoui, Said Bouthir, Mohamed Cherkaoui.
© 2025.
28 pages.
|
|
|