Computer-aided diagnosis of intracranial hematoma with brain deformation on computed tomography

Computerized Medical Imaging and Graphics

Volumn 34, Issue 7, 2010, Pages 563-571

  Liao, Chun Chih ^a,b   Xiao, Furen ^a   Wong, Jau Min ^a   Chiang, I Jen ^a,c  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

^b TAIPEI HOSPITAL   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Binary level set method; Computed tomography; Computer aided diagnosis; Decision rules; Intracranial hematoma

Indexed keywords

ADAPTIVE THRESHOLDS; BRAIN DEFORMATIONS; COMPUTED TOMOGRAPHY; CORRELATION COEFFICIENT; CT IMAGE; DECISION RULES; GRAY LEVELS; HUMAN EXPERT; INTRACRANIAL HEMATOMA; LEVEL SET ALGORITHM; LEVEL SET METHOD; MULTI-RESOLUTIONS; NOVEL METHODS; PRECISION AND RECALL; REGIONS OF INTEREST;

COMPUTATIONAL METHODS; COMPUTERIZED TOMOGRAPHY; DROP BREAKUP; IMAGE SEGMENTATION; LEVEL MEASUREMENT; TUMORS;

COMPUTER AIDED DIAGNOSIS;

ACCURACY; ALGORITHM; ARTICLE; AUTOMATION; BRAIN HEMATOMA; BRAIN MALFORMATION; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; CORRELATION ANALYSIS; DIFFUSION WEIGHTED IMAGING; HUMAN; IMAGE ANALYSIS; PRIORITY JOURNAL; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; VOLUMETRY;

BRAIN; HEMATOMA; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; INTRACRANIAL HEMORRHAGES; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SKULL; TOMOGRAPHY, X-RAY COMPUTED;

EID: 77955657484     PISSN: 08956111     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compmedimag.2010.03.003     Document Type: Article

References (24)

1. Dorland W.A.N. Dorland's illustrated medical dictionary 1994, W.B. Saunders, Philadelphia, PA. 28th ed.
2. Bullock M.R., Chestnut R., Ghajar J., Gordon D., Hartl R., Newell D.W., et al. Post-traumatic mass volume measurement in traumatic brain injury patients. Neurosurgery 2006, 58:S2-S61.
3. Broderick J., Connonlly S., Feldmann E., Hanley D., Kase C., Krieger D., et al. Guidelines for the management of spontaneous intracerebral hemorrhage in adults. Stroke 2007, 38:2001-2023.
4. Bullock M.R., Chestnut R., Ghajar J., Gordon D., Hartl R., Newell D.W., et al. Surgical management of acute epidural hematomas. Neurosurgery 2006, 58:S2-S61.
5. Liao C.C., Xiao F., Wong J.M., Chiang I.J. A simple genetic algorithm for tracing the deformed midline on a single slice of brain CT using quadratic Bézier curves. Proc. 6th IEEE Intl. Conf. Data Mining Workshops (ICDM-W 2006) 2006, 463-467.
6. Liao C.C., Xiao F., Wong J.M., Chiang I.J. A knowledge discovery approach to diagnosing intracranial hematomas on brain CT: recognition, measurement and classification. Lect Notes Comput Sci 2008, 4901:73-82.
7. Liao C.C., Xiao F., Wong J.M., Chiang I.J. A multiresolution binary level set method and its application to intracranial hematoma segmentation. Comput Med Imag Graph 2009, 33:423-430.
8. Cheng D., Cheng K. A PC-based medical image analysis system for brain CT hemorrhage area extraction. Proc 11th IEEE Symp Comput-Based Med Sys 1998, 240-245.
9. Loncaric S., Dhawan A.P., Kovacevic D., Cosic D., Broderick J., Brott T. Quantitative intracerebral brain hemorrhage analysis. Proc SPIE Med Imag 1999, 3661:886-894.
10. Pérez N., Valdés J.A., Guevara M.A., Rodríguez L.A., Molina J.M. Set of methods for spontaneous ICH segmentation and tracking from CT head images. Lect Notes Comput Sci 2007, 4756:212-220.
11. Chan T. Computer aided detection of small acute intracranial hemorrhage on computer tomography of brain. Comput Med Imag Graph 2007, 31:285-298.
12. Yuh E.L., Gean A.D., Manley G.T., Callen A.L., WInermark M. Computer-aided assessment of head computed tomography (CT) studies in patients with suspected traumatic brain injury. J Neurotrauma 2008, 25:1163-1172.
13. Liu B., Yuan Q., Liu Z., Li X., Yin X. Automatic segmentation of intracranial hematoma and volume measurement. Proc 30th Ann. Intl. Conf. IEEE EMBS 2008, 1214-1217.
14. Barderaa A., Boadaa I., Feixasa M., Remollob S., Blascob G., Silvab Y., et al. Semi-automated method for brain hematoma and edema quantification using computed tomography. Comput Med Imag Graph 2009, 33:304-311.
15. Maldjian J.A., Chalela J., Kasner S.E., Liebeskind D., Detre J.A. Automated CT segmentation and analysis for acute middle cerebral artery stroke. Am J Neuroradiol 2001, 22:1050-1055.
16. Kruggel F. Segmentation of focal brain lesions. Lect Notes Comput Sci 2004, 3150:10-18.
17. Lee J.D., Chang T.C., Huang C.H., Wu S.J., Chen C.J. Computer-aided diagnosis system for acute stroke using diffusion weighted images with volume calculation. Proc 26th Ann. Intl. Conf. IEEE EMBS 2004, 1529-1532.
18. Kluge W., Kretzschmar K., Roesler A., Grumme T.H. Cerebral and spinal computed tomography 1998, Blackwell Science, Berlin, Germany. 3rd ed.
19. Berge J.K., Bregman R.A. Variations in size and in symmetry of foramina of the human skull. Clin Anatomy 2001, 14:406-413.
20. Worth A.J., Makris N., Patti M.R., Goodman J.M., Hoge E.A., Caviness V.S., et al. Precise segmentation of the lateral ventricles and caudate nucleus in MR brain images using anatomically driven histograms. IEEE Trans Med Imag 1998, 17:303-310.
21. Liao C.C., Xiao F., Wong J.M., Chiang I.J. Automatic diagnosis of intracranial hematoma on brain CT using knowledge discovery techniques: is finer resolution better?. Biomed Eng: Appl Basis Commun 2008, 20:401-408.
22. Osher S., Fedkiw R. Level set methods and dynamic implicit surfaces 2003, Springer-Verlag, New York, NY.
23. Song B, Chan TF. A fast algorithm for level set based optimization. UCLA CAM Report 02-68; 2002.
24. Chan TF, Esedoglu S. A multiscale algorithm for Mumford-Shah image segmentation. UCLA CAM Report 03-77; 2003.