Automated axial right ventricle to left ventricle diameter ratio computation in computed tomography pulmonary angiography

Rodríguez López, Sara and Jiménez Carretero, Daniel and San José Estépar, Raúl and Ledesma Carbayo, Maria Jesus and Gonzalez*, German and Kumamaru, Kanako and J. Rybicki, Frank (2015). Automated axial right ventricle to left ventricle diameter ratio computation in computed tomography pulmonary angiography. "Plos One", v. 10 (n. 5); pp.. ISSN 1932-6203. https://doi.org/10.1371/journal.pone.0127797.

Description

Title: Automated axial right ventricle to left ventricle diameter ratio computation in computed tomography pulmonary angiography
Author/s:
  • Rodríguez López, Sara
  • Jiménez Carretero, Daniel
  • San José Estépar, Raúl
  • Ledesma Carbayo, Maria Jesus
  • Gonzalez*, German
  • Kumamaru, Kanako
  • J. Rybicki, Frank
Item Type: Article
Título de Revista/Publicación: Plos One
Date: 2015
ISSN: 1932-6203
Volume: 10
Subjects:
Freetext Keywords: Heart Ventricle, Detection, CTPA, HOG
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Ingeniería Electrónica
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Automated medical image analysis requires methods to localize anatomic structures in the presence of normal interpatient variability, pathology, and the different protocols used to acquire images for different clinical settings. Recent advances have improved object detection in the context of natural images, but they have not been adapted to the 3D context of medical images. In this paper we present a 2.5D object detector designed to locate, without any user interaction, the left and right heart ventricles in Computed Tomography Pulmonary Angiography (CTPA) images. A 2D object detector is trained to find ventricles on axial slices. Those detections are automatically clustered according to their size and position. The cluster with highest score, representing the 3D location of the ventricle, is then selected. The proposed method is validated in 403 CTPA studies obtained in patients with clinically suspected pulmonary embolism. Both ventricles are properly detected in 94.7% of the cases. The proposed method is very generic and can be easily adapted to detect other structures in medical images.

More information

Item ID: 43624
DC Identifier: http://oa.upm.es/43624/
OAI Identifier: oai:oa.upm.es:43624
DOI: 10.1371/journal.pone.0127797
Official URL: http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0127797
Deposited by: Memoria Investigacion
Deposited on: 25 Oct 2016 18:41
Last Modified: 18 Aug 2017 10:51
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