Development of an image processing algorithm for the diagnosis of chronic thromboembolic pulmonary hypertension

Cara Albarrán, Paula and Seiffert, Alexander Peter and Pilkington Woll, Patrick and Gómez Grande, Adolfo and Gómez Aguilera, Enrique J. and Sánchez González, Patricia (2019). Development of an image processing algorithm for the diagnosis of chronic thromboembolic pulmonary hypertension. In: "XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, CASEIB 2019", 27/11/2019 - 29/11/2019, Santander, España. ISBN 978-84-09-16707-4. pp. 111-114.

Description

Title: Development of an image processing algorithm for the diagnosis of chronic thromboembolic pulmonary hypertension
Author/s:
  • Cara Albarrán, Paula
  • Seiffert, Alexander Peter
  • Pilkington Woll, Patrick
  • Gómez Grande, Adolfo
  • Gómez Aguilera, Enrique J.
  • Sánchez González, Patricia
Item Type: Presentation at Congress or Conference (Article)
Event Title: XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, CASEIB 2019
Event Dates: 27/11/2019 - 29/11/2019
Event Location: Santander, España
Title of Book: Actas del XXXVII Congreso Anual de la Sociedad Española de Ingeniería Biomédica, CASEIB 2019
Date: 2019
ISBN: 978-84-09-16707-4
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica y Bioingeniería
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

A severe variant of pulmonary hypertension is a chronic thromboembolic pulmonary hypertension (CTEPH) that is related to acute pulmonary embolism. The current diagnosis is performed by visual analysis of single-photon emission computed tomography (SPECT) ventilation and perfusion images. A mismatch of defects that are only present in the perfusion image confirms the diagnosis. This paper presents an algorithm to diagnose CTEPH based on the comparison of the volumes extracted from both SPECT images. The algorithm is designed to also differentiate between cases of CTEPH and a respiratory pathology. A total sample of 32 patients is divided into three groups depending on their diagnosis: (1) reference, (2) CTEPH and (3) respiratory pathology. Reference values of segmentation thresholds and lung volumes are obtained from the first group. These volumes are then used to define thresholds for the classification of the cases of groups two and three. After segmenting the SPECT images and calculating the volumes of ventilation and perfusion, these thresholds are applied to determine the diagnosis. Even though a small patient database is used, the results indicate that the quantitative analysis of SPECT ventilation and perfusion images can support the diagnosis of CTEPH.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainFPU16/06487UnspecifiedUnspecifiedBeca de Formación de Profesorado Universitario

More information

Item ID: 63215
DC Identifier: http://oa.upm.es/63215/
OAI Identifier: oai:oa.upm.es:63215
Official URL: http://caseib.es/2019/
Deposited by: Memoria Investigacion
Deposited on: 03 Nov 2020 16:15
Last Modified: 03 Nov 2020 16:15
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