Pulmonary vessel tree matching for quantifying changes in vascular morphology

Zhiwei Zhai, Marius Staring, Hideki Ota, Berend C. Stoel

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

Invasive right-sided heart catheterization (RHC) is currently the gold standard for assessing treatment effects in pulmonary vascular diseases, such as chronic thromboembolic pulmonary hypertension (CTEPH). Quantifying morphological changes by matching vascular trees (pre- and post-treatment) may provide a non-invasive alternative for assessing hemodynamic changes. In this work, we propose a method for quantifying morphological changes, consisting of three steps: constructing vascular trees from the detected pulmonary vessels, matching vascular trees with preserving local tree topology, and quantifying local morphological changes based on Poiseuille’s law (changes in radius-4,△r-4). Subsequently, median and interquartile range (IQR) of all local △r-4 were calculated as global measurements for assessing morphological changes. The vascular tree matching method was validated with 10 synthetic trees and the relation between clinical RHC parameters and quantifications of morphological changes was investigated in 14 CTEPH patients, pre- and post-treatment. In the evaluation with synthetic trees, the proposed method achieved an average residual distance of 3.09±1.28 mm, which is a substantial improvement over the coherent point drift method (4.32 ± 1.89 mm) and a method with global-local topology preservation (3.92 ± 1.59 mm mm). In the clinical evaluation, the morphological changes (IQR of △r-4) was significantly correlated with the changes in RHC examinations, (Formula Presented). Quantifying morphological changes may provide a non-invasive assessment of treatment effects in CTEPH patients, consistent with hemodynamic changes from invasive RHC.

本文言語English
ホスト出版物のタイトルMedical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
編集者Gabor Fichtinger, Christos Davatzikos, Carlos Alberola-López, Alejandro F. Frangi, Julia A. Schnabel
出版社Springer Verlag
ページ517-524
ページ数8
ISBN(印刷版)9783030009335
DOI
出版ステータスPublished - 2018 1月 1
イベント21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018 - Granada, Spain
継続期間: 2018 9月 162018 9月 20

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
11071 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
国/地域Spain
CityGranada
Period18/9/1618/9/20

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

フィンガープリント

「Pulmonary vessel tree matching for quantifying changes in vascular morphology」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル