A segmentation-based and partial-volume-compensated method for an accurate measurement of lateral ventricular volumes on T1-weighted magnetic resonance images

Magnetic Resonance Imaging

Volumn 19, Issue 2, 2001, Pages 267-273

  Wang, Deming ^a   Doddrell, David M ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Automated image analysis; Brain tissue segmentation; Lateral ventricular volume estimation; Partial volume effects

Indexed keywords

ARTICLE; BRAIN MAPPING; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; LATERAL BRAIN VENTRICLE; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL;

BRAIN; COMPUTER GRAPHICS; HUMANS; IMAGE ENHANCEMENT; IMAGE PROCESSING, COMPUTER-ASSISTED; LATERAL VENTRICLES; MAGNETIC RESONANCE IMAGING; NUMERICAL ANALYSIS, COMPUTER-ASSISTED; REFERENCE VALUES; REPRODUCIBILITY OF RESULTS;

EID: 0034999694     PISSN: 0730725X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0730-725X(01)00235-1     Document Type: Article

References (20)

1. Foundas AL, Zipin D, Browning CA. Age-related changes of the insular cortex and lateral ventricles: conventional MRI volumetric measures. J Neuroimaging 1998;8:216-21.
2. Luxenberg JS, Haxby JV, Creasey H, et al. Rate of ventricular enlargement in dementia of the Alzheimer type correlates with rate of neuropsychological deterioration. Neurology 1987;37:1135-40.
3. de Leon MJ, George AE, Reisberg B, et al. Alzheimer's disease: longitudinal CT studies of ventricular change. AJR Am J Roentgenol 1989;152:1257-62.
4. DeCarli C, Haxby JV, Gillette JA, et al. Longitudinal changes in lateral ventricular volume in patients with dementia of the Alzheimer type. Neurology 1992;42:2029-36.
5. Jack CR, Petersen RC, Xu Y, et al. Rate of medial temporal lobe atrophy in typical aging and Alzheimer's disease. Neurology 1997; 51:993-9.
6. Andreasen NC, Swayze VW, Flaum M, Yates WR, Arndt S, McChesney C. Ventricular enlargement in schizophrenia evaluated with computed tomographic scanning: effects of gender, age, and stage of illness. Arch Gen Psychiatry 1990;47:1008-15.
7. Van Horn JD, McManus IC. Ventricular enlargement in schizophrenia: a meta-analysis of studies of ventricles: brain ratio (VBR). Br J Psychiatry 1992;160:687-97.
8. Robb RA. A software system for interactive and quantitative analysis of biomedical images in 3D imaging in medicine. In: Hohne K, Fuchs H, Pizer S. eds. NATO ASI series. New York: Spinger-verlag 1990; F60.
9. Wang D, Rose SE, Chalk JB, Doddrell DM, Semple J. An improved version of white matter method for correction of non-uniform intensity in MR images - an application to the quantification of rates of brain atrophy in Alzheimer's disease. Medical Imagaging 2000: Image processing (Ed. Hanson), Proc SPIE 2000;3979:760-71.
10. Wang D, Galloway GJ, et al. A reproducible method for automated extraction of brain volumes from 3D human head MR images. J Magn Reson Imag 1998;8:480-6.
11. Clarke LP, Velthuizen RP, Camacho MA, Heine JJ, Vaidyanathan M, Hall LO, Thatcher RW, Silbiger ML. MRI segmentation: methods and applications. Magn Reson Imag 1995;13:343-68.
12. Bensaid AM, Hall LO, Bezdek JC, Clarke LP. Partially supervised clustering for image segmentation. Pattern Recogn 1996;29:859-71.
13. Zeng X, Staib LH, Schultz RT, Duncan JS. Segmentation and measurement of the cortex from 3-D MR images using coupled-surface propagation. IEEE Trans Med Imag 1999;18:927-37.
14. Yan H. Unified formulation of a class of image thresholding techniques. Pattern Recogn 1996;29:2025-32.
15. Otsu N. A threshold selection method from gray level histograms. IEEE Trans Syst Man Cybernet. SMC 1979;9:62-6.
16. Kittler J, Illingworth J. Minimum error thresholding. Pattern Recogn 1986;19:41-7.
17. Huang LK, Wang MJ. Image thresholding by minimizing the measure of fuzziness. Pattern Recogn 1995;28:41-51.
18. Gong J, Li L, Chen W. Fast recursive algorithms for 2D thresholding. Pattern Recogn 1998;31:295-300.
19. Thurfjell L, Bengtsson E, Nordin B. A new three-dimensional connected components labeling algorithm with simultaneous object feature extraction capability. CVGIP: Graphical Models and Image Processing 1992;54:357-64.
20. Paravision™, version 1.0. Karlsrude, Germany: Bruker Medizintechnik, gmbH, 1996.