TY - GEN
T1 - Pulmonary vessel tree matching for quantifying changes in vascular morphology
AU - Zhai, Zhiwei
AU - Staring, Marius
AU - Ota, Hideki
AU - Stoel, Berend C.
PY - 2018/1/1
Y1 - 2018/1/1
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-030-00934-2_58
DO - 10.1007/978-3-030-00934-2_58
M3 - Conference contribution
AN - SCOPUS:85054074313
SN - 9783030009335
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 517
EP - 524
BT - Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 - 21st International Conference, 2018, Proceedings
A2 - Fichtinger, Gabor
A2 - Davatzikos, Christos
A2 - Alberola-López, Carlos
A2 - Frangi, Alejandro F.
A2 - Schnabel, Julia A.
PB - Springer Verlag
T2 - 21st International Conference on Medical Image Computing and Computer Assisted Intervention, MICCAI 2018
Y2 - 16 September 2018 through 20 September 2018
ER -