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All Journal Medical Journal of Indonesia Journal of Medical Physics and Biophysics Journal of Physics and Its Applications
Djarwani Soeharso Soejoko
Departemen Fisika, Fakultas Matematika Dan Ilmu Pengetahuan Alam, Universitas Indonesia
Astronomy Earth & Planetary Sciences Materials Science & Nanotechnology Medicine & Pharmacology Physics

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Evaluation and Implementation of Otsu and Active Contour Segmentation in Contrast-Enhanced Cardiac CT Images Arvi Razanata; Prawito Prajitno; Djarwani Soeharso Soejoko
Journal of Physics and Its Applications Vol 3, No 2 (2021): May 2021
Publisher : Diponegoro University Semarang Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/jpa.v3i2.10712

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.
Bone growth evaluation in collagen-hydroxyapatite implant locations using digital radiography: an animal model Sari, Laela; Julia, Siti; Lubis, Lukmanda Evan; Sihono, Dwi Seno Kuncoro; Sari, Yessie Widya; Soejoko, Djarwani Soeharso
Medical Journal of Indonesia Vol. 32 No. 4 (2023): December
Publisher : Faculty of Medicine Universitas Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.13181/mji.oa.237051

Abstract

BACKGROUND Digital radiography has been used to evaluate the progress of bone growth with a collagen-hydroxyapatite implant in rabbit tibias. This study aimed to introduce digital radiography methods that provide comprehensive data availability for continuous information retrieval from the implant preparation to the cultivation period. METHODS 38 digital radiographs were divided into 3 treatment groups, namely a single defect without implant (control), single-implant, and three-implant. Radiographic acquisitions were performed at preparation time and post-implantation from 0 to 56 days. Observations were concentrated on the implantation site, followed by creating a lateral profile. The prediction of implantation growth was determined using relative bone density (RBD) percentage. RESULTS Based on the profile, the recovery process consisted of implant absorption and new bone tissue deposition. The absorption process was highly influenced by the defect size. In the control and single-implant groups, regardless of the different recovery processes, similar recovery results were observed 56 days post-implantation, with an RBD value of approximately 90%. Meanwhile, the three-implant group only had an RBD value of 62%. CONCLUSIONS Radiography can evaluate absorption and new bone growth during implantation in New Zealand white rabbits. Radiographs, which can be obtained at any time during cultivation, offered more information on the recovery implantation process than the other method that relies on data obtained after sacrificing the animals.
Co-Authors Arvi Razanata Cockmartin Lesley Eka Aulia Ardyanti FERY ARDIANSYAH Halimah Harfah Hanna Vita Paulana Hannah Manssens Hilde Bosmans Icha Renisha Mulia Intan Apriliani Syaridatul Mu’minah Julia, Siti Kristina Bliznakova Kristina Tri Wigati Kristina Tri Wigati Kristina Tri Wigati laela Sari, laela Liesbeth Vancoillie Lubis, Lukmanda Evan M. Roslan A. Gani M. Roslan Abdul Gani M. Roslan Abdul Gani Ni Larasati Kartika Sari Osas Lisa Istifarinta Prawito Prajitno Prawito Prajitno Prawito Prajitno Sari Yuliani Sharah Nataz Shilfa Sihono, Dwi Seno Kuncoro Yessie Widya Sari Yundari, Yundari