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All Journal International Journal of Electrical and Computer Engineering Jurnal Ilmiah Informatika Komputer Jurnal Psikologi Jurnal Ilmiah Teknologi dan Rekayasa IPTEK Journal of Proceedings Series Semantik Jurnal Ilmiah KOMPUTASI ILKOM Jurnal Ilmiah Jurnal Teknologi Sistem Informasi dan Aplikasi
Fitrianingsih Fitrianingsih
Universitas Gunadarma
Religion Humanities Automotive Engineering Computer Science & IT Decision Sciences, Operations Research & Management Education Electrical & Electronics Engineering Industrial & Manufacturing Engineering Materials Science & Nanotechnology Social Sciences Other

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Journal : IPTEK Journal of Proceedings Series

 1 
Three-Dimensional (3D) Reconstruction for Detecting Shape and Volume of Lung Cancer Nodules Rodiah Rodiah; Sarifuddin Madenda; Fitrianingsih Fitrianingsih
IPTEK Journal of Proceedings Series Vol 1, No 1 (2014): International Seminar on Applied Technology, Science, and Arts (APTECS) 2013
Publisher : Institut Teknologi Sepuluh Nopember

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/j23546026.y2014i1.198

Abstract

The development of CT scanning technology as a digital image recorder has provided facilities for oncologists in analyzing the presence of cancer in patient's organs. Visually, oncologists analyze it by looking at the CT slices to ascertain whether any cancer nodules in the lung are present. The center line of nodules is used to calculate the volume of nodules for all slices. Volume is used to monitor the rate of cancer growth. Another way is the shape of cancer nodules. However, since the CT scan images are in the form of two-dimensional (2D), it is hard for oncologists to see the full three-dimensional (3D) shape of the cancer nodules. Based on that matter, this study aimed to develop algorithm that can automatically detect and calculate volume of nodules for all slices in 3D reconstruction. 3D reconstruction of cancer nodules is performed through linear interpolation approach. The results of the developed algorithm, tested through a number of slice images from lung CT scan, showed that the approach and algorithm are able to reconstruct nodule shape in 3D and calculate volume automatically. The results obtained are expected to be able to help oncologists provide accurate information of cancer nodules as well as volume and shape of the cancer nodules in 3D surface.
Co-Authors Andri Hanafi Andri Hanafi Debyo Saptono Diana Tri Susetianingtias Dody Pernadi Dody Pernadi Dody Pernadi Eka Patriya Ernastuti Ernastuti Hermas Yuda Pamungkas Martya Noor Aini Muflikhatun Quroyzhin Kartika Rini Rini Arianty Rodiah Rodiah Sarifuddin Madenda Suryarini Widodo Tri Mardhika Sampurna Tri Wahyu R.N