Automatic measurements of arterial input and venous output functions on cerebral computed tomography perfusion images: A preliminary study

Computers in Biology and Medicine

Volumn 51, Issue , 2014, Pages 51-60

  Kao, Yi Hsuan ^a   Mu Huo Teng, Michael ^a,b,c   Kao, Yi Tzu ^a,d   Chen, Yi Ju ^a,e   Wu, Chen Hsin ^a   Chen, Wen Chun ^a   Chiu, Fang Ying ^a   Chang, Feng Chi ^a,b  

^a NATIONAL YANG MING UNIVERSITY   (Taiwan)

^b TAIPEI VETERANS GENERAL HOSPITAL   (Taiwan)

^c CHENG HSIN GENERAL HOSPITAL   (Taiwan)

^d TAIPEI MEDICAL UNIVERSITY HOSPITAL   (Taiwan)

^e TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Arterial input function; Cerebral perfusion; Computed tomography; Image processing; Segmentation; Venous output function

Indexed keywords

COMPUTERIZED TOMOGRAPHY; IMAGE PROCESSING; IMAGE SEGMENTATION; SIGNAL RECONSTRUCTION;

AREA UNDER THE CONCENTRATION-TIME CURVES; ARTERIAL INPUT FUNCTION; AUTOMATIC CALCULATIONS; AUTOMATIC MEASUREMENTS; CEREBRAL BLOOD VOLUME; CEREBRAL PERFUSION; MEASUREMENT PROCEDURES; OUTPUT FUNCTIONS;

MEASUREMENTS;

IOHEXOL;

ADULT; AGED; ANTERIOR CEREBRAL ARTERY; AREA UNDER THE CURVE; ARTERIAL INPUT FUNCTION; ARTICLE; AUTOMATION; BLOOD VESSEL FUNCTION; BRAIN BLOOD FLOW; BRAIN BLOOD VOLUME; BRAIN PERFUSION; CEREBRAL ARTERIAL STENOSIS; CLINICAL ARTICLE; COMMON CAROTID ARTERY; COMPUTED TOMOGRAPHY SCANNER; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEMALE; FUNCTIONAL NEUROIMAGING; HEALTH CARE; HUMAN; IMAGE DISPLAY; IMAGE PROCESSING; IMAGING SOFTWARE; INTERNAL CAROTID ARTERY; INTERNAL CAROTID ARTERY OCCLUSION; MALE; MIDDLE AGED; MIDDLE CEREBRAL ARTERY; MIDDLE CEREBRAL ARTERY OCCLUSION; NOISE MEASUREMENT; OCCLUSIVE CEREBROVASCULAR DISEASE; POSTERIOR CEREBRAL ARTERY; PRIORITY JOURNAL; RADIATION DOSE; STRAIGHT SINUS; SUPERIOR SAGITTAL SINUS; TRANSVERSE SINUS; VENOUS OUTPUT FUNCTION; VERY ELDERLY; BRAIN ANGIOGRAPHY; BRAIN ARTERY; BRAIN VEIN; CEREBROVASCULAR DISEASE; PATHOPHYSIOLOGY; PROCEDURES; RADIOGRAPHY;

AGED; AGED, 80 AND OVER; CEREBRAL ANGIOGRAPHY; CEREBRAL ARTERIES; CEREBRAL VEINS; CEREBROVASCULAR DISORDERS; FEMALE; HUMANS; MALE; MIDDLE AGED; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84901486932     PISSN: 00104825     EISSN: 18790534     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2014.04.015     Document Type: Article

References (18)

1. Wintermark M., Sesay M., Barbier E., et al. Comparative overview of brain perfusion imaging techniques. Stroke 2005, 36:e83-e99.
2. Konstas A.A., Goldmakher G.V., Lee T.Y., et al. Theoretical basis and technical implementations of CT perfusion in acute ischemic stroke, Part 1: theoretic basis. AJNR Am. J. Neuroradiol. 2009, 30:662-668.
3. Konstas A.A., Goldmakher G.V., Lee T.Y., et al. Theoretical basis and technical implementations of CT perfusion in acute ischemic stroke, Part 2: technical implementations. Am. J. Neuroradiol. 2009, 30:885-892.
4. Axel L. Cerebral blood flow determination by rapid-sequence computed tomography: a theoretical analysis. Radiology 1980, 137:679-686.
5. van der Schaaf I., Vonken E.J., Waaijer A., et al. Influence of partial volume on venous output and arterial input function. Am. J. Neuroradiol. 2006, 27:46-50.
6. Sanelli O.C., Nicola G., Tsiouris A.J., et al. Reproducibility of postprocessing of quantitative CT perfusion maps. Am. J. Roentgenol. 2007, 188:213-218.
7. Soares B.P., Dankbaar J.W., Bredno J., et al. Automated versus manual post-processing of perfusion-CT data in patients with acute cerebral ischemia: influence on interobserver variability. Neuroradiology 2009, 51:445-451.
8. Gobbel G.T., Cann C.E., Fike J.R. Measurement of regional cerebral blood flow using ultrafast computed tomography. Theoretical aspects. Stroke 1991, 22:768-771.
9. Rempp K.A., Brix G., Wenz F., et al. Quantification of regional cerebral blood flow and volume with dynamic susceptibility contrast-enhanced MR imaging. Radiology 1994, 193:637-641.
10. Thompson H.K., Starmer C.F., Whalen R.E., et al. Indicator transit time considered as a gamma variate. Cir. Res. 1964, 14:502-515.
11. Alpert N.M., Bradshaw J.F., Kennedy D., et al. The principal axes transformation - a method for image registration. J. Nucl. Med. 1990, 31:1717-1722.
12. Perona P., Malik J. Scale-space and edge detection using anisotropic diffusion. IEEE Trans. Patt. Recognit. Mach. Intell. 1990, 12:629-639.
13. Gerig G., Kubler O., Kikinis R., et al. Nonlinear anisotropic filtering of MRI data. IEEE Trans. Med. Imaging 1992, 11:221-232.
14. Wintermark M., Fischbein N.J., Smith W.S., et al. Accuracy of dynamic perfusion CT with deconvolution in detecting acute hemispheric stroke. Am. J. Neuroradiol. 2005, 26:104-112.
15. Coleman T.F., Li Y. On the convergence of interior-reflective Newton methods for nonlinear minimization subject to bounds. Math. Prog. 1994, 67:189-224.
16. Coleman T.F., Li.Y. An interior trust region approach for nonlinear minimization subject to bounds. SIAM J. Optim. 1996, 6:418-445.
17. Kenney J.F., Keeping E.S. Mathematics of Statistics, Pt. 1 1962, Van Nostrand, Princeton, New Jersey. 3rd ed.
18. Bahn M.M. A single-step method for estimation of local cerebral blood volume from susceptibility contrast MRI images. Magn. Reson. Med. 1995, 35:309-317.