Memorias de investigación
Ponencias en congresos:
Comparison of Linear and Non-linear 2D+T Registration Methods for DE-MRI Cardiac Perfusion Studies
Año:2014

Áreas de investigación
  • Biomedicina,
  • Equipo médico,
  • Ingenierías,
  • Tecnología electrónica y de las comunicaciones

Datos
Descripción
A series of motion compensation algorithms is run on the challenge data including methods that optimize only a linear transformation, or a non-linear transformation, or both ? first a linear and then a non-linear transformation. Methods that optimize a linear transformation run an initial segmentation of the area of interest around the left myocardium by means of an independent component analysis (ICA) (ICA-*). Methods that optimize non-linear transformations may run directly on the full images, or after linear registration. Non-linear motion compensation approaches applied include one method that only registers pairs of images in temporal succession (SERIAL), one method that registers all image to one common reference (AllToOne), one method that was designed to exploit quasi-periodicity in free breathing acquired image data and was adapted to also be usable to image data acquired with initial breath-hold (QUASI-P), a method that uses ICA to identify the motion and eliminate it (ICA-SP), and a method that relies on the estimation of a pseudo ground truth (PG) to guide the motion compensation.
Internacional
Si
Nombre congreso
Statistical Atlases and Computational Models of the Heart - Imaging and Modelling Challenges (STACOM 2014)
Tipo de participación
960
Lugar del congreso
Boston (MA, USA)
Revisores
Si
ISBN o ISSN
978-3-319-14677-5
DOI
10.1007/978-3-319-14678-2_3
Fecha inicio congreso
18/09/2014
Fecha fin congreso
18/09/2014
Desde la página
21
Hasta la página
31
Título de las actas
Lecture Notes in Computer Science, Vol. 8896.

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Participantes

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Tecnología de imágenes biomédicas
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Electrónica