cone-beam ct images based

24
Automatic Segmentation of Mandibular Cortical Bone on Cone-Beam CT Images Based on Histogram Thresholding and Polynomial Fitting by Eha Astuti Submission date: 21-Aug-2020 04:08PM (UTC+0800) Submission ID: 1372162350 File name: mentation_of_Mandibular_Cortical_Bone_on_Cone-Beam_CT_Images.pdf (713.94K) Word count: 7558 Character count: 40128

Upload: others

Post on 31-Dec-2021

4 views

Category:

Documents


0 download

TRANSCRIPT

Page 1: Cone-Beam CT Images Based

Automatic Segmentation ofMandibular Cortical Bone on

Cone-Beam CT Images Basedon Histogram Thresholding and

Polynomial Fittingby Eha Astuti

Submission date: 21-Aug-2020 04:08PM (UTC+0800)Submission ID: 1372162350File name: mentation_of_Mandibular_Cortical_Bone_on_Cone-Beam_CT_Images.pdf (713.94K)Word count: 7558Character count: 40128

Page 2: Cone-Beam CT Images Based
Page 3: Cone-Beam CT Images Based
Page 4: Cone-Beam CT Images Based
Page 5: Cone-Beam CT Images Based
Page 6: Cone-Beam CT Images Based
Page 7: Cone-Beam CT Images Based
Page 8: Cone-Beam CT Images Based
Page 9: Cone-Beam CT Images Based
Page 10: Cone-Beam CT Images Based
Page 11: Cone-Beam CT Images Based
Page 12: Cone-Beam CT Images Based
Page 13: Cone-Beam CT Images Based
Page 14: Cone-Beam CT Images Based

18%SIMILARITY INDEX

7%INTERNET SOURCES

17%PUBLICATIONS

0%STUDENT PAPERS

1 6%

2 1%

3 1%

Automatic Segmentation of Mandibular Cortical Bone on Cone-Beam CT Images Based on Histogram Thresholding andPolynomial FittingORIGINALITY REPORT

PRIMARY SOURCES

Rarasmaya Indraswari, Takio Kurita, AgusZainal Arifin, Nanik Suciati, Eha Renwi Astuti,Dini Adni Navastara. "3D Region Merging forSegmentation of Teeth on Cone-BeamComputed Tomography Images", 2018 Joint10th International Conference on SoftComputing and Intelligent Systems (SCIS) and19th International Symposium on AdvancedIntelligent Systems (ISIS), 2018Publication

Rarasmaya Indraswari, Takio Kurita, AgusZainal Arifin, Nanik Suciati, Eha Renwi Astuti."Multi-projection deep learning network forsegmentation of 3D medical images", PatternRecognition Letters, 2019Publication

kurita-lab.jpInternet Source

Hiroyuki Fukushima, Daisuke Nakauchi, Noriaki

Page 15: Cone-Beam CT Images Based

4 <1%

5 <1%

6 <1%

7 <1%

8 <1%

9 <1%

Kawaguchi, Takayuki Yanagida. "Photoluminescence and scintillation propertiesof Ti-doped CaHfO crystals ", Japanese Journalof Applied Physics, 2019Publication

Nackaerts, Olivia, Maarten Depypere, GuozhiZhang, Bart Vandenberghe, Frederik Maes, andReinhilde Jacobs. "Segmentation of TrabecularJaw Bone on Cone Beam CT Datasets :Segmentation of Jaw Bone on CBCT Datasets",Clinical Implant Dentistry and RelatedResearch, 2014.Publication

www.lib.unair.ac.idInternet Source

"Advanced Concepts for Intelligent VisionSystems", Springer Science and BusinessMedia LLC, 2016Publication

T. Kalpalatha Reddy. "Wavelet based textureanalysis and classification of bone lesions fromdental CT", International Journal of MedicalEngineering and Informatics, 2010Publication

www.praiseworthyprize.orgInternet Source

Page 16: Cone-Beam CT Images Based

10 <1%

11 <1%

12 <1%

13 <1%

14 <1%

15 <1%

16 <1%

hdl.handle.netInternet Source

Zhun Wei, Xudong Chen. "Deep-LearningSchemes for Full-Wave Nonlinear InverseScattering Problems", IEEE Transactions onGeoscience and Remote Sensing, 2019Publication

vuir.vu.edu.auInternet Source

Asma Najjar, Ezzeddine Zagrouba. "Flowerimage segmentation based on color analysisand a supervised evaluation", 2012 InternationalConference on Communications andInformation Technology (ICCIT), 2012Publication

geoenvironmental-disasters.springeropen.comInternet Source

mafiadoc.comInternet Source

Maureen van Eijnatten, Roelof van Dijk,Johannes Dobbe, Geert Streekstra, JuhaKoivisto, Jan Wolff. "CT image segmentationmethods for bone used in medical additivemanufacturing", Medical Engineering & Physics,2018Publication

Page 17: Cone-Beam CT Images Based

17 <1%

18 <1%

19 <1%

20 <1%

21 <1%

22 <1%

23 <1%

www.birpublications.orgInternet Source

"Computer Vision and Graphics", SpringerScience and Business Media LLC, 2010Publication

eprints.eemcs.utwente.nlInternet Source

Yu He, Xi Yu, Chang Liu, Jian Zhang, Ke Hu,Hong Chao Zhu. "A 3D Dual Path U-Net ofCancer Segmentation Based on MRI", 2018IEEE 3rd International Conference on Image,Vision and Computing (ICIVC), 2018Publication

Badakhshannoory, Hossein, Parvaneh Saeedi,and Karim Qayumi. "Liver segmentation basedon deformable registration and multi-layersegmentation", 2010 IEEE InternationalConference on Image Processing, 2010.Publication

"Medical Image Computing and Computer-Assisted Intervention – MICCAI 2015", SpringerScience and Business Media LLC, 2015Publication

S.M. JENKINS. "Radiographic amelocementaljunction and alveolar crest: effect of X-ray beamangulation", Journal of Oral Rehabilitation,

Page 18: Cone-Beam CT Images Based

24 <1%

25 <1%

26 <1%

27 <1%

9/1995Publication

Fatemeh Abdolali, Reza Aghaeizadeh Zoroofi,Yoshito Otake, Yoshinobu Sato. "Automatedclassification of maxillofacial cysts in cone beamCT images using contourlet transformation andSpherical Harmonics", Computer Methods andPrograms in Biomedicine, 2017Publication

hal.archives-ouvertes.frInternet Source

Brian J. Whyms, Houri K. Vorperian, Lindell R.Gentry, Eugene M. Schimek, Edward T. Bersu,Moo K. Chung. "The effect of computedtomographic scanner parameters and 3-dimensional volume rendering techniques on theaccuracy of linear, angular, and volumetricmeasurements of the mandible", Oral Surgery,Oral Medicine, Oral Pathology and OralRadiology, 2013Publication

Maureen van Eijnatten, Juha Koivisto, KalleKarhu, Tymour Forouzanfar, Jan Wolff. "Theimpact of manual threshold selection in medicaladditive manufacturing", International Journal ofComputer Assisted Radiology and Surgery,2016Publication

Page 19: Cone-Beam CT Images Based

28 <1%

29 <1%

30 <1%

31 <1%

32 <1%

33 <1%

34 <1%

35 <1%

Alfonso E. Márquez Chamorro. "An EvolutionaryApproach for Protein Contact Map Prediction",Lecture Notes in Computer Science, 2011Publication

"Proceedings of the International Conference onISMAC in Computational Vision and Bio-Engineering 2018 (ISMAC-CVB)", SpringerScience and Business Media LLC, 2019Publication

Lecture Notes in Computer Science, 2009.Publication

Joel Jaskari, Jaakko Sahlsten, Jorma Järnstedt,Helena Mehtonen et al. "Deep Learning Methodfor Mandibular Canal Segmentation in DentalCone Beam Computed Tomography Volumes",Scientific Reports, 2020Publication

www.acta.nlInternet Source

lirias.kuleuven.beInternet Source

docplayer.netInternet Source

Ahmed, Abdul Haseeb, Ijaz M. Qureshi, JawadAli Shah, and Muhammad Zaheer. "Motion

Page 20: Cone-Beam CT Images Based

36 <1%

37 <1%

38 <1%

39 <1%

correction based reconstruction method forcompressively sampled cardiac MR imaging",Magnetic Resonance Imaging, 2017.Publication

Young-Ji Yun, Byeong-Cheol Ahn, MuthuSubash Kavitha, Sung-Il Chien. "An EfficientRegion Precise Thresholding and Direct HoughTransform in Femur and Femoral NeckSegmentation using Pelvis CT", IEEE Access,2020Publication

Seok Min Han. "Computer-aided ProstateCancer Detection using Texture Features andClinical Features in Ultrasound Image", Journalof Digital Imaging, 10/2008Publication

Giannakeas, N.. "An automated method forgridding and clustering-based segmentation ofcDNA microarray images", ComputerizedMedical Imaging and Graphics, 200901Publication

Iñigo Barandiaran, Iván Macía, Eva Berckmann,Diana Wald, Michael Pierre Dupillier, CélinePaloc, Manuel Graña. "Chapter 79 An AutomaticSegmentation and Reconstruction of MandibularStructures from CT-Data", Springer Science andBusiness Media LLC, 2009Publication

Page 21: Cone-Beam CT Images Based

40 <1%

41 <1%

42 <1%

43 <1%

44 <1%

45 <1%

46 <1%

Randy Cahya Wihandika, Agus Zainal Arifin,Anny Yuniarti. "Detection of Branching inTrabecular Bone Using Multiscale COSFIREFilter for Osteoporosis Identification",Proceedings of the 4th International Conferenceon Frontiers of Educational Technologies -ICFET '18, 2018Publication

ijain.orgInternet Source

www.annualreviews.orgInternet Source

repub.eur.nlInternet Source

Xue, J.H.. "Ridler and Calvard's, Kittler andIllingworth's and Otsu's methods for imagethresholding", Pattern Recognition Letters,20120415Publication

R T Smith. "A method of drusen measurementbased on reconstruction of fundus backgroundreflectance", British Journal of Ophthalmology,2005Publication

www.hindawi.comInternet Source

Page 22: Cone-Beam CT Images Based

47 <1%

48 <1%

49 <1%

50 <1%

51 <1%

52 <1%

Jeffrey J. Wiley. "ICITST-2013: Keynote speaker1: Principles of information security riskmanagement", 2013 IEEE Third InternationalConference on Information Science andTechnology (ICIST), 2013Publication

Guogang Cao. "Fast Non-Rigid ImageRegistration Using Viscous Fluid Model and B-Spline", 2008 2nd International Conference onBioinformatics and Biomedical Engineering,05/2008Publication

diglib.eg.orgInternet Source

www.semanticscholar.orgInternet Source

Imad Barngkgei, Esam Halboub, AbeerAlmashraqi. "Effect of bisphosphonate treatmenton the jawbone: an exploratory study usingperiapical and panoramic radiographicevaluation", Oral Radiology, 2018Publication

Lecture Notes in Computer Science, 2013.Publication

Page 23: Cone-Beam CT Images Based

Exclude quotes Off

Exclude bibliography On

Exclude matches < 7 words

Page 24: Cone-Beam CT Images Based

FINAL GRADE

/0

Automatic Segmentation of Mandibular Cortical Bone on Cone-Beam CT Images Based on Histogram Thresholding andPolynomial FittingGRADEMARK REPORT

GENERAL COMMENTS

Instructor

PAGE 1

PAGE 2

PAGE 3

PAGE 4

PAGE 5

PAGE 6

PAGE 7

PAGE 8

PAGE 9

PAGE 10

PAGE 11

PAGE 12