Portal de investigación
pBrain: A novel pipeline for Parkinson related brain structure segmentation.
Fecha de publicación:
Fecha Ahead of Print:
Autores de IIS La Fe
Participantes ajenos a IIS La Fe
- Manjón JV
- Bertó A
- Romero JE
- Lanuza E
- Vivo-Hernando R
- Coupe P
Abstract
Parkinson is a very prevalent neurodegenerative disease impacting the life of millions of people worldwide. Although its cause remains unknown, its functional and structural analysis is fundamental to advance in the search of a cure or symptomatic treatment. The automatic segmentation of deep brain structures related to Parkinson`s disease could be beneficial for the follow up and treatment planning. Unfortunately, there is not broadly available segmentation software to automatically measure Parkinson related structures. In this paper, we present a novel pipeline to segment three deep brain structures related to Parkinson's disease (substantia nigra, subthalamic nucleus and red nucleus). The proposed method is based on the multi-atlas label fusion technology that works on standard and high-resolution T2-weighted images. The proposed method also includes as post-processing a new neural network-based error correction step to minimize systematic segmentation errors. The proposed method has been compared to other state-of-the-art methods showing competitive results in terms of accuracy and execution time.
Datos de la publicación
- ISSN/ISSNe:
- 2213-1582, 2213-1582
- Tipo:
- Article
- Páginas:
- 102184-102184
- PubMed:
- 31982678
- Factor de Impacto:
- 1,772 SCImago ℠
- Cuartil:
- Q1 SCImago ℠
NeuroImage-Clinical ELSEVIER SCI LTD
Citas Recibidas en Web of Science: 18
Documentos
- No hay documentos
Filiaciones
Keywords
- SUBTHALAMIC NUCLEUS; SUBSTANTIA-NIGRA; RED NUCLEUS; MR-IMAGES; HIPPOCAMPUS; DISEASE; ATLAS
Cita
Manjón JV,Bertó A,Romero JE,Lanuza E,Vivo R,APARICI F,Coupe P. pBrain: A novel pipeline for Parkinson related brain structure segmentation. NeuroImage-Clin. 2020. 25. p. 102184-102184. IF:4,881. (2).