12 results  1 of 1 

1 Revisiting diaphragmatic hernia of Joseon period Korean mummy by three-dimensional liver and heart segmentation and model reconstruction
Ensung Koh, Da Yeong Lee, Dongsoo Yoo, Myeung Ju Kim, In Sun Lee, Jong Ha Hong, Sang Joon Park, Jieun Kim, Soon Chul Cha, Hyejin Lee, Chang Seok Oh, Dong Hoon Shin
Anat Cell Biol.2022;55(4):507-511.   Published online 2022 December 31     DOI: http://dx.doi.org/10.5115/acb.22.092
      
2 Effects of energy level, reconstruction kernel, and tube rotation time on Hounsfield units of hydroxyapatite in virtual monochromatic images obtained with dual-energy CT
Dae-Kyo Jeong, Sam-Sun Lee, Jo-Eun Kim, Kyung-Hoe Huh, Won-Jin Yi, Min-Suk Heo, Soon-Chul Choi
Imaging Sci Dent.2019;49(4):273-279.   Published online 2019 December 24     DOI: http://dx.doi.org/10.5624/isd.2019.49.4.273
      
3 Image Quality and Radiation Dose in CT Venography Using Model-Based Iterative Reconstruction at 80 kVp versus Adaptive Statistical Iterative Reconstruction-V at 70 kVp
Chankue Park, Ki Seok Choo, Jin Hyeok Kim, Kyung Jin Nam, Ji Won Lee, Jin You Kim
Korean J Radiol.2019;20(7):1167-1175.   Published online 2019 June 25     DOI: http://dx.doi.org/10.3348/kjr.2018.0897
      
4 Coronary CT Angiography with Knowledge-Based Iterative Model Reconstruction for Assessing Coronary Arteries and Non-Calcified Predominant Plaques
Tao Li, Tian Tang, Li Yang, Xinghua Zhang, Xueping Li, Chuncai Luo
Korean J Radiol.2019;20(5):729-738.   Published online 2019 April 11     DOI: http://dx.doi.org/10.3348/kjr.2018.0435
      
5 Advanced Methods in Dynamic Contrast Enhanced Arterial Phase Imaging of the Liver
Yoon-Chul Kim
Investig Magn Reson Imaging.2019;23(1):1-16.   Published online 2019 January 10     DOI: http://dx.doi.org/10.13104/imri.2019.23.1.1
   
6 CT Image Conversion among Different Reconstruction Kernels without a Sinogram by Using a Convolutional Neural Network
Sang Min Lee, June-Goo Lee, Gaeun Lee, Jooae Choe, Kyung-Hyun Do, Namkug Kim, Joon Beom Seo
Korean J Radiol.2019;20(2):295-303.   Published online 2018 December 28     DOI: http://dx.doi.org/10.3348/kjr.2018.0249
      
7 Contrast-Enhanced CT with Knowledge-Based Iterative Model Reconstruction for the Evaluation of Parotid Gland Tumors: A Feasibility Study
Chae Jung Park, Ki Wook Kim, Ho-Joon Lee, Myeong-Jin Kim, Jinna Kim
Korean J Radiol.2018;19(5):957-964.   Published online 2018 August 6     DOI: http://dx.doi.org/10.3348/kjr.2018.19.5.957
      
8 Use of Iterative Reconstruction and a Small Contrast Volume in Rabbit Kidney CT: Comparison with Conventional Protocol
Rihyeon Kim, Sang Youn Kim, Jeong Yeon Cho, Joongyub Lee, Seung Hyup Kim
J Korean Soc Radiol.2018;79(2):77-87.   Published online 2018 January 19     DOI: http://dx.doi.org/10.3348/jksr.2018.79.2.77
   
9 Use of Three-Dimensional Curved-Multiplanar Reconstruction Images for Sylvian Dissection in Microsurgery of Middle Cerebral Artery Aneurysms
Taek-Kyun Nam, Yong-Sook Park, Jun-Soo Byun, Seung-Won Park, Jeong-Taik Kwon
Yonsei Med J.2017;58(1):241-247.   Published online 2016 November 7     DOI: http://dx.doi.org/10.3349/ymj.2017.58.1.241
      
10 Improvement of Analytic Reconstruction Algorithms Using a Sinogram Interpolation Method for Sparse-angular Sampling with a Photon-counting Detector
Dohyeon Kim, Byungdu Jo, Su-Jin Park, Hyemi Kim, Hee-Joung Kim
Prog Med Phys.2016;27(3):105-110.   Published online 2016 September 19     DOI: http://dx.doi.org/10.14316/pmp.2016.27.2.105
   
11 Coronary Stent on Coronary CT Angiography: Assessment with Model-Based Iterative Reconstruction Technique
Eunchae Lee, Yeo Koon Kim, Eun Ju Chun, Sang Il Choi
J Korean Soc Radiol.2016;74(5):291-298.   Published online 2016 April 26     DOI: http://dx.doi.org/10.3348/jksr.2016.74.5.291
      
12 Adaptive Statistical Iterative Reconstruction-Applied Ultra-Low-Dose CT with Radiography-Comparable Radiation Dose: Usefulness for Lung Nodule Detection
Hyun Jung Yoon, Myung Jin Chung, Hye Sun Hwang, Jung Won Moon, Kyung Soo Lee
Korean J Radiol.2015;16(5):1132-1141.   Published online 2015 August 21     DOI: http://dx.doi.org/10.3348/kjr.2015.16.5.1132
      

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