Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations
Year:2018
Research Areas
  • Electronic technology and of the communications
Information
Abstract
Surgery for brain cancer is a major problem in neurosurgery. The diffuse infiltration into the surrounding normal brain by these tumors makes their accurate identification by the naked eye difficult. Since surgery is the common treatment for brain cancer, an accurate radical resection of the tumor leads to improved survival rates for patients. However, the identification of the tumor boundaries during surgery is challenging. Hyperspectral imaging is a non contact, non-ionizing and non-invasive technique suitable for medical diagnosis. This study presents the development of a novel classification method taking into account the spatial and spectral characteristics of the hyperspectral images to help neurosurgeons to accurately determine the tumor boundaries in surgical-time during the resection, avoiding excessive excision of normal tissue or unintentionally leaving residual tumor. The algorithm proposed in this study to approach an efficient solution consists of a hybrid framework that combines both supervised and unsupervised machine learning methods. Firstly, a supervised pixel-wise classification using a Support Vector Machine classifier is performed. The generated classification map is spatially homogenized using a one-band representation of the HS cube, employing the Fixed Reference t-Stochastic Neighbors Embedding dimensional reduction algorithm, and performing a K-Nearest Neighbors filtering. The information generated by the supervised stage is combined with a segmentation map obtained via unsupervised clustering employing a Hierarchical K-Means algorithm. The fusion is performed using a majority voting approach that associates each cluster with a certain class. To evaluate the proposed approach, five hyperspectral images of surface of the brain affected by glioblastoma tumor in vivo from five different patients have been used. The final classification maps obtained have been analyzed and validated by specialists. These preliminary results are promising, obtaining an accurate delineation of the tumor area.
International
Si
JCR
Si
Title
Plos One
ISBN
1932-6203
Impact factor JCR
2,806
Impact info
Datos JCR del año 2016
Volume
10.1371/journal.pone.0193721
Journal number
From page
1
To page
27
Month
MARZO
Ranking
Participants
  • Autor: Himar Fabelo (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Samuel Ortega (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Daniele Ravi (The Hamlyn Centre, Imperial College London (ICL))
  • Autor: B. Ravi Kiran (Laboratoire CRISTAL)
  • Autor: Coralia Sosa (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: Diederik Bulters (Wessex Neurological Centre, University Hospital Southampton)
  • Autor: Gustavo Marrero Callicó (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Harry Bulstrode (Department of Neurosurgery, Addenbrookes Hospita)
  • Autor: Adam Szolna (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: Juan F. Piñeiro (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: Silvester Kabwama (Wessex Neurological Centre, University Hospital Southampton)
  • Autor: Daniel Madroñal Quintin (UPM)
  • Autor: Raquel Lazcano Lopez (UPM)
  • Autor: Aruma J-O'Shanahan (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: Sara Bisshopp (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: María Hernandez (Department of Neurosurgery, University Hospital Doctor Negrin)
  • Autor: Abelardo Báez (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
  • Autor: Guang-Zhong Yang (The Hamlyn Centre, Imperial College London (ICL))
  • Autor: Bogdan Stanciulescu (Ecole Nationale Supe¿rieure des Mines de Paris (ENSMP), MINES ParisTech)
  • Autor: Ruben Salvador Perea (UPM)
  • Autor: Eduardo Juarez Martinez (UPM)
  • Autor: Roberto Sarmiento (Institute for Applied Microelectronics (IUMA), University of Las Palmas de Gran Canaria (ULPGC))
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Diseño Electrónico y Microelectrónico
  • Centro o Instituto I+D+i: Centro de Investigación en Tecnologías del Software y Sistemas Multimedia para la Sostenibilidad (CITSEM)
  • Departamento: Ingeniería Telemática y Electrónica
S2i 2021 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)