Bone-subtraction CT angiography: Evaluation of two different fully automated image-registration procedures for interscan motion compensation

American Journal of Neuroradiology

Volumn 28, Issue 7, 2007, Pages 1362-1368

  Lell, M M ^a,e   Ditt, H ^b   Panknin, C ^a   Sayre, J W ^a,c   Ruehm, S G ^a   Klotz, E ^b   Tomandl, B F ^d   Villablanca, J P ^a  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b SIEMENS AG   (Germany)

^c UNIVERSITY OF CALIFORNIA   (United States)

^d KLINIKUM BREMEN MITTE   (Germany)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; ARTIFACT REDUCTION; BASILAR ARTERY; CAROTID ARTERY; COMPUTED TOMOGRAPHIC ANGIOGRAPHY; FEMALE; HUMAN; IMAGE QUALITY; IMAGE SUBTRACTION; MAJOR CLINICAL STUDY; MALE; MOTION; OBSERVER VARIATION; OPHTHALMIC ARTERY; STATISTICAL ANALYSIS;

ARTIFACTS; BONE AND BONES; CEREBRAL ANGIOGRAPHY; HEAD; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MOTION; NECK; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 34548178195     PISSN: 01956108     EISSN: None     Source Type: Journal    
DOI: 10.3174/ajnr.A0558     Document Type: Article

References (24)

1. Achenbach S, Ropers D, Pohle FK, et al. Detection of coronary artery stenoses using multi-detector CT with 16 x 0.75 collimation and 375 ms rotation. Eur Heart J 2005;26:1978-86. Epub 2005 May 27
2. Bartlert ES, Walters TD, Symons SP, et al. Quantification of carotid stenosis on CT angiography. AJNR Am J Neuroradiol 2006;27:13-19
3. Coxson HO, Baile EM, King GG, et al. Diagnosis of subsegmental pulmonary emboli: a multi-center study using a porcine model. J Thorac Imaging 2005;20:24-31
4. Ghersin E, Litmanovich D, Dragu R, et al. 16-MDCT coronary angiography versus invasive coronary angiography in acute chest pain syndrome: a blinded prospective study. AJR Am J Roentgenol 2006;186:177-84
5. Kanne JP, Lalani TA. Role of computed tomography and magnetic resonance imaging for deep venous thrombosis and pulmonary embolism. Circulation 2004;10(12 suppl 1):I15-21
6. Leiner T, de Haan MW, Nelemans PJ, et al. Contemporary imaging techniques for the diagnosis of renal artery stenosis. Eur Radiol 2005;15:2219-29
7. Wermer MJ, van der Schaaf IC, Velthuis BK, et al. Yield of short-term follow-up CT/MR angiography for small aneurysms detected at screening. Stroke 2006;37:414-18
8. Kouskouras C, Charitanti A, Giavroglou C, et al. Intracranial aneurysms: evaluation using CTA and MRA - correlation with DSA and intraoperative findings. Neuroradiology 2004;46:842-50
9. Villablanca JP, Jahan R, Hooshi P, et al. Detection and characterization of very small cerebral aneurysms by using 2D and 3D helical CT angiography. AJNR Am J Neuroradiol 2002;23:1187-98
10. Lell M, Anders K, Klotz E, et al. Clinical evaluation of bone-subtraction CT angiography (BSCTA) in head and neck imaging. Eur Radiol 2006;16:889-97
11. van Straten M, Venema HW, Streekstra GJ, et al. Removal of bone in CT angiography of the cervical arteries by piecewise matched mask bone elimination. Med Phys 2004;31:2924-33
12. Venema HW, Hulsmans FJ, den Heeten GJ. CT angiography of the circle of Willis and intracranial internal carotid arteries: maximum intensity projection with matched mask bone elimination-feasibility study. Radiology 2001;218:893-98
13. Tomandl BF, Hammen T, Klotz E, et al. Bone-subtraction CT angiography for the evaluation of intracranial aneurysms. AJNR Am J Neuroradiol 2006;27:55-59
14. Majoie CB, van Straten M, Venema HW, et al. Multisection CT venography of the dural sinuses and cerebral veins by using matched mask bone elimination. AJNR Am J Neuroradiol 2004;25:787-91
15. Sakamoto S, Kiura Y, Shibukawa M, et al. Subtracted 3D CT angiography for evaluation of internal carotid artery aneurysms: comparison with conventional digital subtraction angiography. AJNR Am J Neuroradiol 2006;27:1332-37
16. Pluim JP, Maintz JB, Viergever MA. Mutual-information-based registration of medical images: a survey. IEEE Trans Med Imaging 2003;22:986-1004
17. Urschler M, Ditt H, Bischof H. Partially rigid bone registration in CT angiography. Presented at: 11th Computer Vision Winter Workshop 2006, Telc, Czech Republic, February 6-8, 2006
18. Landis JR, Koch GG. The measurement of observer agreement for categorical data. Biometrics 1977;33:159-74
19. Kalender WA, Schmidt B, Zankl M, et al. A PC program for estimating organ dose and effective dose values in computed tomography. Eur Radiol 1999;9:555-62
20. Gorzer H, Heimberger K, Schindler E. Spiral CT angiography with digital subtraction of extra- and intracranial vessels. J Comput Assist Tomogr 1994;18:839-41
21. Jayakrishnan VK, White PM, Aitken D, et al. Subtraction helical CT angiography of intra- and extracranial vessels: technical considerations and preliminary experience. AJNR Am J Neuroradiol 2003;24:451-55
22. Beier J, Oellinger H, Richter CS, et al. Registered image subtraction for CT-, MR- and coronary angiography. Eur Radiol 1997;7:82-89
23. Vega Higuera F, Sauber N, Tomandl BF, et al. Enhanced 3D-visualization of intracranial aneurysms involving the skull base. In: Proceedings of Medical Image Computing and Computer Assisted Intervention. Berlin:Springer;2003:256-62
24. Abrahams JM, Saha PK, Hurst RW, et al. Three-dimensional bone-free rendering of the cerebral circulation by use of computed tomographic angiography and fuzzy connectedness. Neurosurgery 2002;51:264-68