DOI: https://doi.org/10.14710/jpa.v3i2.10712

Evaluation and Implementation of Otsu and Active Contour Segmentation in Contrast-Enhanced Cardiac CT Images

*Arvi Razanata orcid  -  Graduate Physics Study Program, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok, Indonesia
Prawito Prajitno  -  Department of Physics, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok, Indonesia
Djarwani Soeharso Soejoko  -  Department of Physics, Faculty of Mathematics and Natural Sciences, University of Indonesia, Depok, Indonesia
Received: 29 Mar 2021; Revised: 20 Apr 2021; Accepted: 30 Apr 2021; Available online: 28 Jun 2021; Published: 27 May 2021.

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Abstract

The CT cardiac acquisition process is usually conducted by using an additional image with contrast medium that is injected inside the body and reconstructed by a radiologist using an integrated CT Scan software with the aim to find the morphology and volume dimension of the heart and coronary arteries. In fact, the data obtained from the hospital are raw data without segmented contour from a radiologist. For the purpose of automation, dataset is needed to be used as input data for further program development. This study is focused on the evaluation of the segmentation results of CT cardiac images using Otsu threshold and active contour algorithm with the aim to make a dataset for the heart volume quantification that can be used interactively as an alternative to integrated CT scan software. 2D contrast enhanced cardiac CT from 6 patients using image processing techniques was run on Matlab software. Of the 689 slices that was used, as many as (73.75 ± 19.41)%of CT cardiac slices have been segmented properly, (19.15 ± 19.61)%of the slices that were segmented included the spine bone, (1.36 ± 0.98)%of the slices did not include all region of the heart, (16.58 ± 15.26)%of the slices included other organs with the consistency from the measurement proven from inter-observer variability to produce r = 0,9941.The result is due to the geometry influence from the diameter of the patient’s body thickness that tends to be thin.

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Keywords: Medical Physics; Segmentation; Volume Quantification; CT Cardiac; Active Contour

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