Pattern Classification Methods for Analysis and Visualization of Brain Perfusion CT Maps - Computational Intelligence Paradigms in Advanced Pattern Classification - page 169

[15] Kato, H., Billinghurst, M.: Marker Tracking and HMD Calibration for a video-based
Augmented Reality Conferencing System. In: Proceedings of the 2nd International
Workshop on Augmented Reality (IWAR 1999), pp. 85-94 (1999)
[16] Koenig, M., Kraus, M., Theek, C., Klotz, E., Gehlen, W., Heuser, L.: Quantitative as-
sessment of the ischemic brain by means of perfusion-related parameters derived
from perfusion CT. Stroke; a Journal of Cerebral Circulation 32(2), 431-437 (2001)
[17] Krüger, J., Westermann, R.: Acceleration Techniques for GPU-based Volume Ren-
dering. IEEE Visualization (2003)
[18] Latchaw, R.E., Yonas, H., Hunter, G.J.: Guidelines and recommendations for perfu-
sion imaging in cerebral ischemia: a scientific statement for healthcare professionals
by the writing group on perfusion imaging, from the Council on Cardiovascular Ra-
diology of the American Heart Association. Stroke 34, 1084-1104 (2003)
[19] Lev, M.H., et al.: Utility of Perfusion-Weighted CT Imaging in Acute Middle Cere-
bral Artery Stroke Treated With Intra-Arterial Thrombolysis: Prediction of Final In-
farct Volume and Clinical Outcome. Stroke 32, 2021 (2001)
[20] Lucas, E., Sánchez, E., et al.: CT Protocol for Acute Stroke: Tips and Tricks for Gen-
eral Radiologists. Radiographics 28(6), 1673-1687 (2008)
[21] Marmulla, R., et al.: An augmented reality system for image-guided surgery. Medical
Image Analysis 34 (2005)
[22] Muir, K.W., Buchan, A., von Kummer, R., Rother, J., Baron, J.-C.: Imaging of acute
stroke. Lancet Neurol. 5, 755-768 (2006)
[23] Nowinski, W.L., et al.: Analysis of Ischemic Stroke MR Images by Means of Brain
Atlases of Anatomy and Blood Supply Territories. Acad. Radiol. 13, 1025-1034
(2006)
[24] Nowinski, W.L., et al.: Fast talairach transformation for magnetic resonance neuroi-
mages. Journal of Computer Assisted Tomography 30 (2006)
[25] Przelaskowski, A., Ostrek, G., Sklinda, K.: Ischemic stroke monitor as diagnosis as-
sistant for CT examinations. Elektronika: konstrukcje, technologie, zastosowania 49,
104-114 (2008)
[26] Przelaskowski, A., Ostrek, G., Sklinda, K., Walecki, J., Jóźwiak, R.: Stroke Slicer for
CT-based Automatic Detection of Acute Ischemia. Computer Recognition Systems 3,
447-454 (2009)
[27] Przelaskowski, A., Sklinda, K., Ostrek, G., Jóźwiak, R., Walecki, J.: Computer -
Aided Diagnosis in Hyper-acute Ischemic Stroke. Progress in Neuroradiology, 69-78
(2009)
[28] Rueckert, D., Sonoda, L.I., Hayes, C., Hill, D.L.G., Leach, M.O., Hawkes, D.J.: Non-
rigid Registration Using Free-Form Deformations: Application to Breast MR Images.
IEEE Transaction on Medical Imaging 18(8) (1999)
[29] Sasaki, M., et al.: CT perfusion for acute stroke: Current concepts on technical as-
pects and clinical applications. International Congress Series 1290, 30-36 (2006)
[30] Sasaki, M.: Joint Committee for the Procedure Guidelines for CT/MR Perfusion Im-
aging (2006),
http://mr-proj2.umin.jp/data/guidelineCtpMrp2006-e.pdf
[31] Thirion, J.-P.: Image matching as a diffusion process: an analogy with Maxwell's
demons. Medical Image Analysis 2(3), 243-260 (1998)
[32] Thompson, P., Mega, M., Narr, K., Sowell, E., Blanton, R., Toga, A.: Brain image
analysis and atlas construction. In: Handbook of Medical Imaging, SPIE. ch. 17, pp.
1066-1119 (2000)