Head and neck lymph node region delineation with image registration

BioMedical Engineering Online

Volumn 9, Issue , 2010, Pages

  Teng, Chia Chi ^a   Shapiro, Linda G ^b   Kalet, Ira J ^b,c  

^a BRIGHAM YOUNG UNIVERSITY   (United States)

^b University of Washington   (United States)

^c UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CT IMAGE; DRAWING TOOLS; GOLD STANDARDS; HEAD AND NECK; LYMPH NODE REGION; PATIENT IMAGES; RADIATION ONCOLOGISTS; RADIATION THERAPY; REFERENCE MODELS; TARGET VOLUMES;

BODY FLUIDS; DISEASE CONTROL; HAND TOOLS; IMAGE REGISTRATION; MEDICAL COMPUTING; RADIOTHERAPY; TARGETS;

COMPUTERIZED TOMOGRAPHY;

ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; HEAD AND NECK TUMOR; IMAGE PROCESSING; LYMPH NODE; METHODOLOGY; QUALITY CONTROL; RADIOGRAPHY; STANDARD;

HEAD AND NECK NEOPLASMS; IMAGE PROCESSING, COMPUTER-ASSISTED; LYMPH NODES; QUALITY CONTROL; REFERENCE STANDARDS; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77954620269     PISSN: 1475925X     EISSN: 1475925X     Source Type: Journal    
DOI: 10.1186/1475-925X-9-30     Document Type: Article

References (44)

1. Greenlee RT, Murray T, Bolden S, Wingo PA. Cancer Statistics. CA-A Cancer J Clin 2000, 50:7-33.
2. International Commission on Radiation Units and Measurements Prescribing, Recording and Reporting Photon Beam Therapy. 1993, Bethesda, MD, International Commission on Radiation Units and Measurements, Report 50, International Commission on Radiation Units and Measurements.
3. International Commission on Radiation Units and Measurements Prescribing, Recording and Reporting Photon Beam Therapy (Supplement to ICRU Report 50). 1999, Bethesda, MD, International Commission on Radiation Units and Measurements, Report 62, International Commission on Radiation Units and Measurements.
4. Chao KSC, Wippold FJ, Ozyigit F, Tran BN, Dempsey JF. Determination and Delineation of Nodal Target volumes for Head-and-Neck Cancer Based on Patterns of Failure in Patients Receiving Definitive and Postoperative IMRT. Int Journal of Radiation Oncology Biol Phys 2002, 53:1174-1184.
5. Teng C, Shapiro LG, Kalet IJ. Automatic segmentation of neck CT images. Proc. 19th IEEE International Symposium on Computer-Based Medical Systems 2006, 442-445.
6. Teng C, Shapiro LG, Kalet IJ. Head and neck lymph node region delineation using a hybrid image registration method. Proc. 2006 IEEE International Symposium on Biomedical imaging 2006, 462-465.
7. Teng C, Austin-Seymour MM, Barker J, Kalet I, Shapiro LG. Head and neck lymph node region delineation with 3D CT image registration. Proc. American Medical informatics Assoc Fall Symp 2002, 767-771.
8. Teng C, Shapiro LG, Kalet I, Rutter C, Nurani R. Head and neck cancer patient similarity based on anatomical structural geometry. Proc 2007 IEEE international Symposium on Biomedical imaging 2007, 1140-1143.
9. Williams DWW. An Imager's Guide to Normal Neck Anatomy. Seminars in Ultrasound, CT and MR 1997, 18:157-181.
10. Kruger A, Tietjen C, Hintze J, Preim B, Hertel I, Strau G. Interactive Visualization for Neck Dissection Planning. Proc of the IEEE/Eurographics Symposium on Visualization (EuroVis) 2005, 295-302.
11. Dornheim J, Seim H, Preim B, Hertel I, Strauss G. Segmentation of Neck Lymph Nodes in CT Dataset with Stable 3D Mass-Spring Models. Academic Radiology 2007, 14:1389-1399. 10.1016/j.acra.2007.09.001, 17964462.
12. Maleike D, Fabel M, Tetzlaff R, Tengg-Kobligk H, Heimann T, Meinzer HP, Wolf I. Lymph node segmentation on CT images by a shape model guided deformable surface method. Proc SPIE Medical Imaging 2008, 6914.
13. Som PM, Curtin HD, Mancuso A. An imaging based classification for the cervical nodes designed as an adjunct to recent clinical based nodal classification. Archives of Otolaryngol-Head and Neck Surery 1999, 125:388-396.
14. Som PM, Curtin HD, Mancuso A. Imaging-based classification for evaluation of neck metastatic adenopathy. American Journal of Roentgenology 2000, 174:837-844.
15. Gregoire V, Scaliet P, Ang KK. Clinical target volumes in conformal and intensity modulated radiation therapy. 2004, 85.
16. Chao C, Apisarnthanarax S, Ozyigit G. Practical essentials of intensity modulated radiation therapy. 2004, 113.
17. Commowick O, Gregoire V, Malandain G. Atalas-based delineation of lymph node levels in head and neck computed tomography images. Radiotherapy and Oncology 2008, 87(2):281-289. 10.1016/j.radonc.2008.01.018, 18279984.
18. Radiation Therapy Oncology Group Last accessed on May 24, 2010, Radiation Therapy Oncology Group., http://www.rtog.org/atlases/hnatlas/main.html
19. Reed VK, Woodward WA, Zhang L, Strom EA, Perkins GH, Tereffe W, Oh JL, Yu TK, Bedrosian I, Whitman GJ, Buchholz TA, Dong L. Automatic segmentation of whole-breast using atlas approach and deformable image registration. Int J Radiat Oncol Bio Phys 2009, 73:1493-1500.
20. Chao KSC, Bhide S, Chen H, Asper J, Bush S, Franklin G, Kavadi V, Liengswangwong V, Gordon W, Raben A, Strasser J, Koprowski C, Frank S, Chronowski G, Ahamad A, Malyapa R, Zhang L, Dong L. Reduce in variation and improve efficiency of target volume delineation by a computer-assisted system using a deformable image registration approach. Int J Radiat Oncol Biol Phys 2007, 68:1512-1521.
21. Gorthi S, Duay V, Houhou N, Cuadra MB, Schick U, Becker M, Allal AS, Thiran JP. Segmentation of Head and Neck Lymph Node Regions for Radiotherapy Planning Using Active Contour-Based Atlas Registration. IEEE Journal of Selected Topics in Signal Processing 2009, 3:135-147.
22. Han X, Hoogeman M, Levendag P, Hibbard L, Teguh D, Voet P, Cowen A, Wolf T. Atlas-based auto-segmentation of head and neck CT images. Medical image Computing and Computer-Assisted Intervention - MICCAI 2008, 434-441.
23. VolecityAI, Velocity Medical Solutions VolecityAI, Velocity Medical Solutions., http://www.velocitymedical.com/velocityai/index.shtml
24. MIMcontouring Advanced, MIMvista MIMcontouring Advanced, MIMvista., http://www.mimvista.com/products/mimcontouringadvanced
25. Joshi S, Davis B, Jomier M, Gerig G. Unbiased diffeomorphic atlas construction for computational anatomy. Neuroimage 2004, 23:S151-S160. 10.1016/j.neuroimage.2004.07.068, 15501084.
26. De Craene M, duBois d' Aische A, Macq B, Warfield SK. Multi-subject registration for unbiased statistical atlas construction. Medical image computing and computer assisted intervention LNCS 2004, 3217:655-662. Springer.
27. Sims R, Isambert A, Gregoire V, Bidault F, Fresco L, Sage J, Mills J, Bourhis J, Lefkopoulos D, Commowick O, Benkebil M, Malandian G. A pre-clinical assessment of an atlas-based automatic segmentation tool for the head and neck. Radiation and Oncology 2009, 93:474-478.
28. Stapleford LJ, Lawson JD, Perkins C, Edelman S, Davis L, McDonald MW, Waller A, Schreibmann E, Fox T. Evaluation of automatic atlas-based lymph node segmentation for head-and-neck cancer. Int JRadiat Oncol Biol Phys 77(3):959-66.
29. Tsuji SY, Hwang A, Weinberg V, Yom SS, Quivey JM, Xia P. Dosimetric evaluation of automatic segmentation for adaptive IMRT for head-and-neck cancer. Int J Radiat Oncol Biol Phys 77(3):707-14.
30. Min P, Halderman JA, Kazhdan M, Funkhouser TA. Early experiences with a 3D model search engine. Web3D Symposium 2003, 7-18.
31. Chen DY, Tian XP, Shen YT, Ouhyoung M. On visual similarity based 3D model retrieval. Computer Graphics Forum (EG 2003 Proceedings) 2003, 22:223-232.
32. Tangelder JWH, Veltkamp RC. Polyhedral model retrival using weighted point sets. International Journal of Image and Graphics 2003, 3:209-229.
33. Ruiz-Correa S, Sze RW, Starr JR, Lin HJ, Speltz ML, Cunningham ML, Hing AV. New scaphocephaly severity indices of sagittal craniosynostosis: A comparative study with cranial index quantifications. Clef Palate Craniofacial Journal 2006, 43:211-221.
34. Iyer N, Jayanti S, Lou K, Kalyanaraman Y, Ramani K. Three dimensional shape searching: State-of-the-art review and future trends. Computer-Aided Design 2005, 37:509-530.
35. Tangelder JWH, Veltkamp RC. A survey of content based 3D shape retrieval methods. Multimedia Tools and Applications 2008, 39:441-471.
36. Mattes D, Haynor DR, Vesselle H, Lewellen TK, Eubank W. PET-CT Image Registration in the Chest Using Free-form Deformations. IEEE Transaction on Medical Imaging 2003, 22:120-128.
37. Thevenaz P, Unser M. Spline pyramids for intermodal image registration using mutual information. Proceeding of the SPIE 1997, 3169:236-247.
38. Cordes J, Dornheim J, Preim B, Hertel I, Strauss G. Pre-operative Segmentation of Neck CT Datasets for the Planning of Neck Dissections. Proc. SPiE Medical imaging 2006,
39. Kobashi M, Shapiro LG. Knowledge-based organ identification from CT images. Pattern Recognition 1995, 28:475-491.
40. Shelton CR. Morphable Surface Models. International Journal of Computer Vision 2000, 38:75-91.
41. Aspert N, Santa-Cruz D, Ebrahimi T. MESH: Measuring Errors between Surfaces Using the Hausdorff Distance. Proc. of the IEEE International Conference in Multimedia and Expo (ICME) 2002 2002, 705-70.
42. Besl PJ, McKay ND. A method for registration of 3-d shapes. IEEE Trans PAMI 1992, 14:239-256.
43. Zou KH, Warfield SK, Bharatha A, Tempany CMC, Kaus MR, Haker SJ, Wells WM, Jolesz FA, Kikinis R. Statiscal validation of image segmentation quality based on a spatial overlap index. Acad Radiol 2004, 11:178-189. 10.1016/S1076-6332(03)00671-8, 1415224, 14974593.
44. Benson N, Whipple M, Kalet IJ. A Markov Model Approach to Predicting Regional Tumor Spread in the Lymphatic System of the Head and Neck. Proc of the American Medical informatics Assoc Fall Symposium 2006, 31-35.