Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods

After interventions such as bypass surgeries the vascular function is checked qualitatively and remotely by observing the blood dynamics inside the vessel via Fluorescence Angiography. This state-of-the-art method has to be improved by introducing a quantitatively measured blood flow. Previous appro...

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Main Authors: Ady Naber, Daniel Berwanger, Werner Nahm
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Photonics
Subjects:
Online Access:https://www.mdpi.com/2304-6732/7/3/70
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spelling doaj-506b91cd23ca4e9cb7b9febea1f32c1f2020-11-25T02:53:10ZengMDPI AGPhotonics2304-67322020-09-017707010.3390/photonics7030070Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction MethodsAdy Naber0Daniel Berwanger1Werner Nahm2Karlsruhe Institute of Technology, Institute of Biomedical Engineering, Fritz Haber Weg 1, 76135 Karlsruhe, GermanyKarlsruhe Institute of Technology, Institute of Biomedical Engineering, Fritz Haber Weg 1, 76135 Karlsruhe, GermanyKarlsruhe Institute of Technology, Institute of Biomedical Engineering, Fritz Haber Weg 1, 76135 Karlsruhe, GermanyAfter interventions such as bypass surgeries the vascular function is checked qualitatively and remotely by observing the blood dynamics inside the vessel via Fluorescence Angiography. This state-of-the-art method has to be improved by introducing a quantitatively measured blood flow. Previous approaches show that the measured blood flow cannot be easily calibrated against a gold standard reference. In order to systematically address the possible sources of error, we investigated the error in geodesic length measurement caused by spatial discretization on the camera chip. We used an in-silico vessel segmentation model based on mathematical functions as a ground truth for the length of vessel-like anatomical structures in the continuous space. Discretization errors for the chosen models were determined in a typical magnitude of 6%. Since this length error would propagate to an unacceptable error in blood flow measurement, counteractions need to be developed. Therefore, different methods for the centerline extraction and spatial interpolation have been tested and compared against their performance in reducing the discretization error in length measurement by re-continualization. In conclusion, the discretization error is reduced by the re-continualization of the centerline to an acceptable range. The discretization error is dependent on the complexity of the centerline and this dependency is also reduced. Thereby the centerline extraction by erosion in combination with the piecewise Bézier curve fitting performs best by reducing the error to 2.7% with an acceptable computational time.https://www.mdpi.com/2304-6732/7/3/70length measurementdiscretization errorcenterlinespatial interpolationblood flow
collection DOAJ
language English
format Article
sources DOAJ
author Ady Naber
Daniel Berwanger
Werner Nahm
spellingShingle Ady Naber
Daniel Berwanger
Werner Nahm
Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
Photonics
length measurement
discretization error
centerline
spatial interpolation
blood flow
author_facet Ady Naber
Daniel Berwanger
Werner Nahm
author_sort Ady Naber
title Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
title_short Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
title_full Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
title_fullStr Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
title_full_unstemmed Geodesic Length Measurement in Medical Images: Effect of the Discretization by the Camera Chip and Quantitative Assessment of Error Reduction Methods
title_sort geodesic length measurement in medical images: effect of the discretization by the camera chip and quantitative assessment of error reduction methods
publisher MDPI AG
series Photonics
issn 2304-6732
publishDate 2020-09-01
description After interventions such as bypass surgeries the vascular function is checked qualitatively and remotely by observing the blood dynamics inside the vessel via Fluorescence Angiography. This state-of-the-art method has to be improved by introducing a quantitatively measured blood flow. Previous approaches show that the measured blood flow cannot be easily calibrated against a gold standard reference. In order to systematically address the possible sources of error, we investigated the error in geodesic length measurement caused by spatial discretization on the camera chip. We used an in-silico vessel segmentation model based on mathematical functions as a ground truth for the length of vessel-like anatomical structures in the continuous space. Discretization errors for the chosen models were determined in a typical magnitude of 6%. Since this length error would propagate to an unacceptable error in blood flow measurement, counteractions need to be developed. Therefore, different methods for the centerline extraction and spatial interpolation have been tested and compared against their performance in reducing the discretization error in length measurement by re-continualization. In conclusion, the discretization error is reduced by the re-continualization of the centerline to an acceptable range. The discretization error is dependent on the complexity of the centerline and this dependency is also reduced. Thereby the centerline extraction by erosion in combination with the piecewise Bézier curve fitting performs best by reducing the error to 2.7% with an acceptable computational time.
topic length measurement
discretization error
centerline
spatial interpolation
blood flow
url https://www.mdpi.com/2304-6732/7/3/70
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AT danielberwanger geodesiclengthmeasurementinmedicalimageseffectofthediscretizationbythecamerachipandquantitativeassessmentoferrorreductionmethods
AT wernernahm geodesiclengthmeasurementinmedicalimageseffectofthediscretizationbythecamerachipandquantitativeassessmentoferrorreductionmethods
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