Automatic bone segmentation technique for CT angiographic studies

Journal of Computer Assisted Tomography

Volumn 23, Issue 1, 1999, Pages 155-161

  Fiebich, Martin ^a   Straus, Christopher M ^a   Sehgal, Vivek ^a   Renger, Bernhard C ^b   Doi, Kunio ^a   Hoffmann, Kenneth R ^a  

^a UNIVERSITY OF CHICAGO   (United States)

^b UNIVERSITY OF MÜNSTER   (Germany)

Author keywords

Bones; Bones, segmentation; Computed tomography, angiography (CTA); Computed tomography, techniques; Computed tomography, three dimensional; Image processing

Indexed keywords

BONE; COMPUTERIZED TOMOGRAPHY; DATA VISUALIZATION; IMAGE SEGMENTATION; QUALITY CONTROL;

AUTOMATIC SEGMENTATIONS; BONE SEGMENTATION; COMPUTED TOMOGRAPHY ANGIOGRAPHY; COMPUTED TOMOGRAPHY, ANGIOGRAPHY; COMPUTED TOMOGRAPHY, TECHNIQUE; COMPUTED TOMOGRAPHY, THREE-DIMENSIONAL; HIGH QUALITY; IMAGES PROCESSING; SEGMENTATION SCHEME; SEGMENTATION TECHNIQUES;

THREE DIMENSIONAL COMPUTER GRAPHICS;

ANGIOGRAPHY; ARTICLE; BONE; COMPUTER ASSISTED TOMOGRAPHY; HUMAN; IMAGE PROCESSING; IMAGE QUALITY; PRIORITY JOURNAL;

EID: 0032970211     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/00004728-199901000-00031     Document Type: Article

References (17)

1. Fishman EK, Liang CC, Kusyk BS, et al. Automated bone editing algorithm for CT angiography: preliminary results. AJR 1996;166: 669-72.
2. Lorenz C, Buzug TM, Fassnacht C, Weese J. Automated detection and segmentation of lumbar vertebrae in CT and CTA images based on a grey-value profile parser. In: Lemke HU, Vannier MW, Inamura K, eds. Computer assisted radiology and surgery. Proceedings CAR 97. Berlin: Springer, 1997:209-14.
3. Ogawa T, Okudera T, Noguchi K, et al. Cerebral aneurysms: evaluation with three-dimensional CT angiography. AJNR 1996; 17:447-54.
4. Farres MT, Grabenwoeger F, Magometschnig H, Trattnig S, Heimberger K, Lammer J. Spiral CT angiography: study of stenoses and calcification at the origin of the vertebral artery. Neuroradiology 1996;38:738-43.
5. Zeman RK, Silverman PM, Vieco PT, Costello P. CT angiography. AJR 1995;165:1079-88.
6. Gomes MN, Davros WJ, Zeman RK. Preoperative assessment of abdominal aortic aneurysm: the value of helical and 3D computed tomography. J Vasc Surg 1994;20:367-76.
7. Klein HM, Cranin AN, Sirakian A. A computerized tomography (CT) scan appliance for optimal presurgical and preprosthetic planning of the implant patient. Pract Periodont Aesthet Dent 1993;5: 33-9.
8. Hope JK, Wilson JL, Thomson FJ. Three-dimensional CT angiography in the detection and characterization of intracranial berry aneurysms. AJNR 1996;17:437-45.
9. Ezrielev J, Rubin GD, Hentschel D. Advanced tools for 3-D processing of tomographic slices. In: Goehme JM, Rowberg AH, Wolfman NT, eds. S/CAR 94 Computer applications to assist radiology. Carlsbad, CA: Symposia Foundation, 1994:95-9.
10. Hsiang JNK, Liang EY, Lam JMK, Zhu XL, Poon WS. The role of computed tomography in the diagnosis of intracranial aneurysms and emergent aneurysm clipping. Neurosurgery 1996;38: 481-7.
11. Alyassin M, Avinash GB. Fast and novel bone removal technique from CT angiography data. Med Phys 1997;24:1047.
12. Fiebich M, Tomiak MM, Engelmann RM, McGill J, Hoffmann KR. Computer assisted diagnosis in CT angiography of abdominal aortic aneurysms. Proc SPIE 1997;3034:86-94.
13. Hentschel D, Ezrielev J, Fisler R, et al. Techniques for editing and visualizing CT-angiographic data. Proc SPIE 1994;2359:307-18.
14. Gonzales RC, Woods RE. Digital image processing. New York: Addison-Wesley, 1992:458-61.
15. Sivewright GJ, Elliott PJ. Interactive region and volume growing for segmenting volumes in MR and CT images. Med Info 1994; 19:71-80.
16. Russ JC. The image processing handbook. Boca Raton: CRC Press, 1992:294-5.
17. Puzkas Z, Schuierer G. Determination of circulation time for optimizing contrast media in CT angiography. Radiologe 1996;36: 750-7.