By a News Reporter-Staff News Editor at Biotech Week -- Data detailed on Biotechnology have been presented. According to news reporting out of Pohang, South Korea, by NewsRx editors, research stated, "The present study developed a hybrid semi-automatic method to extract the liver from abdominal computerized tomography (CT) images. The proposed hybrid method consists of a customized fast-marching level-set method for detection of an optimal initial liver region from multiple seed points selected by the user and a threshold-based level-set method for extraction of the actual liver region based on the initial liver region."
Our news journalists obtained a quote from the research from the Pohang University of Science and Technology (POSTECH), "The performance of the hybrid method was compared with those of the 2D region growing method implemented in OsiriX using abdominal CT datasets of 15 patients. The hybrid method showed a significantly higher accuracy in liver extraction (similarity index, SI=97.6 ± 0.5%; false positive error, FPE=2.2 ± 0.7%; false negative error, FNE=2.5 ± 0.8%; average symmetric surface distance, ASD=1.4 ± 0.5mm) than the 2D (SI=94.0 ± 1.9%; FPE=5.3 ± 1.1%; FNE=6.5 ± 3.7%; ASD=6.7 ± 3.8mm) region growing method. The total liver extraction time per CT dataset of the hybrid method (77 ± 10 s) is significantly less than the 2D region growing method (575 ± 136 s). The interaction time per CT dataset between the user and a computer of the hybrid method (28 ± 4 s) is significantly shorter than the 2D region growing method (484 ± 126 s)."
According to the news editors, the research concluded: "The proposed hybrid method was found preferred for liver segmentation in preoperative virtual liver surgery planning."
For more information on this research see: A hybrid semi-automatic method for liver segmentation based on level-set methods using multiple seed points. Computer Methods and Programs In Biomedicine, 2014;113(1):69-79. (Elsevier - www.elsevier.com; Computer Methods and Programs In Biomedicine - www.elsevier.com/wps/product/cws_home/505960)
Our news journalists report that additional information may be obtained by contacting X. Yang, Pohang University of Science and Technology, Pohang 790-784, South Korea. Additional authors for this research include H.C. Yu, Y. Choi, W. Lee, B. Wang, J. Yang, H. Hwang, J.H. Kim, J. Song, B.H. Cho and H. You (see also Biotechnology).
Keywords for this news article include: Asia, Biotechnology, Pohang, South Korea.
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