Journal of shanghai Jiaotong University (Science) ›› 2017, Vol. 22 ›› Issue (3): 377-384.doi: 10.1007/s12204-017-1847-z
WAN Daqian1 (万大千), WANG Dong2 (王东), MA Anbang4 (马安邦),DAI Kerong2,4 (戴尅戎), AI Songtao3* (艾松涛), WANG Liao2* (王燎)
Online:
2017-06-02
Published:
2017-06-04
Contact:
AI Songtao(艾松涛), WANG Liao(王燎)
E-mail:aistss1024@gmail.com, wangliao1881@163.com
CLC Number:
WAN Daqian1 (万大千), WANG Dong2 (王东), MA Anbang4 (马安邦),DAI Kerong2,4 (戴尅戎), AI Songtao3* (艾松涛), WANG Liao2* (王燎). Automatic Outer Surface Extraction of Femoral Head in CT Images[J]. Journal of shanghai Jiaotong University (Science), 2017, 22(3): 377-384.
[1] | SUGANO N. Computer-assisted orthopedic surgery[J]. Journal of Orthopaedic Science, 2003, 8(3): 442-448. |
[2] | VICECONTI M, ZANNONI C, TESTI D, et al. CTdata sets surface extraction for biomechanical modelingof long bones [J]. Computer Methods and Programsin Biomedicine, 1999, 59(3): 159-166. |
[3] | ZOROOFI R A, SATO Y, NISHII T, et al. Automatedsegmentation of necrotic femoral head from 3D MRdata [J]. Computerized Medical Imaging & Graphics,2004, 28(5): 267-278. |
[4] | GANZ R, GILL T J, GAUTIER E, et al. Surgical dislocationof the adult hip: A technique with full accessto the femoral head and acetabulum without the riskof avascular necrosis [J]. The Bone & Joint Journal,2001, 83(8): 1119-1124. |
[5] | CHENG Y Z, ZHOU S J, WANG Y D, et al. Automaticsegmentation technique for acetabulum andfemoral head in CT images [J]. Pattern Recognition,2013, 46(11): 2969-2984. |
[6] | HILDEBRAND T, LAIB A, M¨ULLER R, et al. Directthree-dimensional morphometric analysis of humancancellous bone: Microstructural data from spine, femur,iliac crest, and calcaneus [J]. Journal of Bone &Mineral Research, 1999, 14(7): 1167-1174. |
[7] | MCINERNEY T, TERZOPOULOS D. A dynamic finiteelement surface model for segmentation and trackingin multidimensional medical images with applicationto cardiac 4D image analysis [J]. Journal of ComputerizedMedical Imaging and Graphics, 1995, 19(1):69-83. |
[8] | KANG Y, ENGELKE K, KALENDER W A. A newaccurate and precise 3-D segmentation method forskeletal structures in volumetric CT data. [J]. IEEETransactions on Medical Imaging, 2003, 22(5): 586-598. |
[9] | KAINMUELLER D, LAMECKER H, ZACHOW S, etal. An articulated statistical shape model for accuratehip joint segmentation [C]//Engineering in Medicineand Biology Society, 2009 (EMBC 2009): InternationalConference of the IEEE. [s.l.]: IEEE, 2009:6345-6351. |
[10] | COMTAT C, KINAHAN P E, DEFRISE M, et al. Fastreconstruction of 3D PET data with accurate statisticalmodeling [J]. IEEE Transactions on Nuclear Science,1998, 45(3): 1083-1089. |
[11] | MISHRA A K, FIEGUTH PW, CLAUSID A.Decoupledactive contour (DAC) for boundary detection [J].IEEE Transactions on Pattern Analysis and MachineIntelligence, 2011, 33(2): 310-324. |
[12] | XU M H, THOMPSON P M, TOGA A W. An adaptivelevel set segmentation on a triangulated mesh [J].IEEE Transactions on Medical Imaging, 2004, 23(2):191-201. |
[13] | KASS M, WITKIN A, TERZOPOULOS D. Snakes:Active contour models [J]. International Journal ofComputer Vision, 1988, 1(4): 321-331. |
[14] | HAAS B, CORADI T, SCHOLZ M, et al. Automaticsegmentation of thoracic and pelvic CT images for radiotherapyplanning using implicit anatomic knowledgeand organ-specific segmentation strategies [J].Physics in Medicine and Biology, 2008, 53(6): 1751-1771. |
[15] | CHICA A, MONCL′US E, BRUNET P, et al. Exampleguidedsegmentation [J]. Graphical Models, 2012,74(6), 302-310. |
[16] | BIENIEK A, MOGA A. An efficient watershed algorithmbased on connected components [J]. PatternRecognition, 2000, 33(6): 907-916. |
[17] | KIM Y, KIM D. A fully automatic vertebra segmentationmethod using 3D deformable fences [J]. ComputerizedMedical Imaging and Graphics, 2009, 33(5):343-352. |
[18] | ZOROOFI R A, SATO Y, SASAMA T, et al. Automatedsegmentation of acetabulum and femoral headfrom 3-D CT images [J]. IEEE Transactions on InformationTechnology in Biomedicine, 2003, 7(4): 329-343. |
[19] | DROOGENBROECK M V, TALBOT H. Fast computationof morphological operations with arbitrarystructuring elements [J]. Pattern Recognition Letters,1996, 17(14): 1451-1460. |
[20] | HUANG Y, WANG S. Multilevel thresholding methodsfor image segmentation with Otsu based on QPSO[C]//2008 Congress on Image and Signal Processing.[s.l.]: IEEE Computer Society, 2008: 701-705. |
[21] | ZHANG Y D,WU L N. Optimal multi-level thresholdingbased on maximum tsallis entropy via an artificialbee colony approach [J]. Entropy, 2011, 13(4): 841-859. |
[22] | LIU Y, ZHAO Y L. Quick approach of multi-thresholdOtsu method for image segmentation [J]. Journal ofComputer Applications, 2011, 31(12): 3363-3365 (inChinese). |
[23] | ADAMS R, BISCHOF L. Seeded region growing [J].IEEE Transactions on Pattern Analysis and MachineIntelligence, 1994, 16(6): 641-647. |
[24] | DEHMESHKI J, AMIN H, VALDIVIESO M, et al.Segmentation of pulmonary nodules in thoracic CTscans: A region growing approach [J]. IEEE Transactionson Medical Imaging, 2008, 27(4): 467-480. |
[25] | KUMARI V V, SURIYANARAYANAN N. Blood vesselextraction using Wiener filter and morphologicaloperation [J]. International Journal of Computer Scienceand Emerging Technology, 2010, 1(4): 7-10. |
[26] | SERLIE I, TRUYEN R, FLORIE J, et al. Computedcleansing for virtual colonoscopy using a threematerialtransition model [C]// Medical Image Computingand Computer-Assisted Intervention: MICCAI2003. Berlin Heidelberg: Springer, 2003: 175-183. |
[27] | POHL K M, FISHER J, GRIMSON W E, et al. ABayesian model for joint segmentation and registration[J]. Neuroimage, 2006, 31(1): 228-239. |
[28] | QI Y Y, XIONG W, LEOW W K, et al. Semiautomaticsegmentation of liver tumors from CT scansusing bayesian rule-based 3D region growing [EB/OL].http://www.comp.nus.edu.sg/~leowwk/papers/miccai2008-tumor1.pdf |
[29] | LORENSEN W E, CLINE H E. Marching cubes: Ahigh resolution 3D surface construction algorithm [J].ACM SIGGRAPHY Computer Graphics, 1987, 21(4):163-169. |
[30] | GELAUDE F, VANDER SLOTEN J, LAUWERS B.Accuracy assessment of CT-based outer surface femurmeshes [J]. Computer Aided Surgery, 2008, 13(4): 188-199. |
[1] | Fan Xinggang, Liu Jiaxian, Li Chao, Yang Youdong, Gu Wenting, Jiang Xinyang. Computer Aided Diagnosis for COVID-19 in CT Images Utilizing Transfer Learning and Attention Mechanism [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(3): 566-581. |
[2] | ZHAO Yinjie1 (赵寅杰), HOU Runpingg1 (侯润萍), ZENG Wanqin2 (曾琬琴), QIN Yulei1 (秦玉磊), SHEN Tianle2 (沈天乐), XU Zhiyong2 (徐志勇), FU Xiaolong2* (傅小龙), SHEN Hongbin1* (沈红斌). Positional Information is a Strong Supervision for Volumetric Medical Image Segmentation [J]. J Shanghai Jiaotong Univ Sci, 2025, 30(1): 121-129. |
[3] | KE Jing1(柯晶), ZHU Junchao2 (朱俊超), YANG Xin1(杨鑫), ZHANG Haolin3 (张浩林), SUN Yuxiang1(孙宇翔), WANG Jiayi1(王嘉怡), LU Yizhou4(鲁亦舟), SHEN Yiqing5(沈逸卿), LIU Sheng6(刘晟), JIANG Fusong7(蒋伏松), HUANG Qin8(黄琴). TshFNA-Examiner: A Nuclei Segmentation and Cancer Assessment Framework for Thyroid Cytology Image [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(6): 945-957. |
[4] | CHENG Xiangwei, ZHANG Daxu, DU Yonglong, GUO Hongbao, HONG Zhiliang. In-Situ X-Ray CT Characterization of Damage Mechanism of Plain Weave SiCf/SiC Composites Under Compression [J]. Journal of Shanghai Jiao Tong University, 2024, 58(2): 232-241. |
[5] | WANG Baokun, WANG Rulu, CHEN Jinjian, PAN Yue, WANG Lujie. Automatic Detection Method for Surface Diseases of Shield Tunnel Based on Deep Learning [J]. Journal of Shanghai Jiao Tong University, 2024, 58(11): 1716-1723. |
[6] | GU Wen (顾闻), XU Yi∗ (徐奕). Retinal Vessel Segmentation via Adversarial Learning and Iterative Refinement [J]. J Shanghai Jiaotong Univ Sci, 2024, 29(1): 73-80. |
[7] | XUE Yongboa (薛永波),LIU Zhaob (刘钊), LI Zeyanga (李泽阳),ZHU Pinga* (朱平). CT Image Segmentation Method of Composite Material Based on Improved Watershed Algorithm and U-Net Neural Network Model [J]. J Shanghai Jiaotong Univ Sci, 2023, 28(6): 783-792. |
[8] | HU Mingxuan, QIAO Jun, ZHANG Zhinan. Segmentation and Evaluation of Continuous Rehabilitation Exercises [J]. Journal of Shanghai Jiao Tong University, 2023, 57(5): 533-544. |
[9] | LI Qing, HUANGFU Yubin, LI Jiangyun, YANG Zhifang, CHEN Peng, WANG Zihan. UConvTrans:A Dual-Flow Cardiac Image Segmentation Network by Global and Local Information Integration [J]. Journal of Shanghai Jiao Tong University, 2023, 57(5): 570-581. |
[10] | JIANG Rui1*(姜﹐锐),ZHU Ruiriang1(朱瑞祥),CAI Xiaocui1(蔡萧萃),SU Hu2(苏虎). Foreground Segmentation Network with Enhanced Attention [J]. J Shanghai Jiaotong Univ Sci, 2023, 28(3): 360-369. |
[11] | QIN Chao1 (秦 超), WANG Yafei1 (王亚飞), ZHANG Yuchao2 (张宇超), YIN Chengliang1∗ (殷承良). Birds-Eye-View Semantic Segmentation and Voxels Semantic Segmentation Based on Frustum Voxels Modeling and Monocular Camera [J]. J Shanghai Jiaotong Univ Sci, 2023, 28(1): 100-113. |
[12] | XU Hanqing (徐汉卿), YANG Ming∗ (杨 明), DENG Liuyuan (邓琉元), LI Hao (李 颢), WANG Chunxiang, (王春香), HAN Weibin (韩伟斌), YU Yuelong (于跃龙). Semantic Segmentation-Based Road Marking Detection Using Around View Monitoring System [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(6): 833-843. |
[13] | LI Gaoyang, JIA Aiting, HONG Bo, LI Xiangwen, GAO Jiapeng. Fast 3D Pose Estimation Method for High Speed GMAW of Large Box Girders [J]. Journal of Shanghai Jiao Tong University, 2022, 56(6): 794-800. |
[14] | JIANG Zhiguo (蒋志国), CHANG Qing∗ (常 青). USSL Net: Focusing on Structural Similarity with Light U-Structure for Stroke Lesion Segmentation [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(4): 485-497. |
[15] | KANG Jie* (亢洁), DING Jumin (丁菊敏), LEI Tao (雷涛),FENG Shujie (冯树杰), LIU Gang (刘港). Interactive Liver Segmentation Algorithm Based on Geodesic Distance and V-Net [J]. J Shanghai Jiaotong Univ Sci, 2022, 27(2): 190-201. |
Viewed | ||||||||||||||||||||||||||||||||||||||||||||||||||
Full text 228
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||
Abstract 486
|
|
|||||||||||||||||||||||||||||||||||||||||||||||||