Searched for: person:gg87
Infant cerebral ventricle volume: a comparison of 3-D ultrasound and magnetic resonance imaging
Gilmore, J H; Gerig, G; Specter, B; Charles, H C; Wilber, J S; Hertzberg, B S; Kliewer, M A
Enlargement of the cerebral lateral ventricles is observed in several neuropsychiatric disorders with origins in early brain development. Lateral ventricle size is also predictive of poor neurodevelopmental outcome in premature infants. Three-dimensional (3-D) ultrasound (US) offers an improved methodology for the study of lateral ventricle volume in neonates and infants. To assess the validity of ventricle volume measures obtained with 3-D US, we compared the volumes obtained by 3-D US with magnetic resonance imaging (MRI) in seven infants. Ventricle volumes were determined using a computer-assisted image analysis program, IRIS. There was excellent correlation between ventricle volumes obtained with 3-D US and those obtained with MRI (intraclass correlation coefficient 0.92, F = 23.28, p = 0.00027), indicating that 3-D US provides valid measures of overall lateral ventricle volume compared to the "gold standard" of MRI. 3-D US can provide an economical and practical means of studying lateral ventricle volume in neonates, a neurostructural marker of abnormal brain development.
PMID: 11527602
ISSN: 0301-5629
CID: 1782052
Association of duration and severity of illness and superior temporal gyrus volume as assessed by 3-D manual segmentation measurements in male schizophrenic patients [Meeting Abstract]
Bridges, HE; Chakos, MH; Gerig, G; Schobel, SA; Charles, C; Gu, H; Lieberman, JA
ISI:000168411700509
ISSN: 0920-9964
CID: 1782102
Clinical correlates of structural brain abnormalities in male schizophrenic patients [Meeting Abstract]
Chakos, MH; Schobel, SA; Gerig, G; Charles, C; Gu, H; Bradford, D; Lieberman, JA
ISI:000168411700513
ISSN: 0920-9964
CID: 1782112
Neonatal cerebral ventricle volume: A comparison of 3D ultrasound and MRI [Meeting Abstract]
Gilmore, JH; Gerig, G; Specter, B; Charles, C; Wilbur, JS; Hertzberg, BS; Kliewer, MA
ISI:000168411700522
ISSN: 0920-9964
CID: 1782122
Structural neuroimaging of psychiatry disease: Reliable and efficient automatic brain tissue segmentation for increased sensitivity [Meeting Abstract]
Park, J; Gerig, G; Chakos, MH; Vandermeulen, D; Lieberman, JA
ISI:000168411700552
ISSN: 0920-9964
CID: 1782132
Duration and severity of illness and hippocampal volume in schizophrenia patients as assessed by 3-D manual segmentation [Meeting Abstract]
Schobel, SA; Chakos, MH; Gerig, G; Bridges, HE; Gu, H; Charles, C; Lieberman, JA
ISI:000168411700558
ISSN: 0920-9964
CID: 1782142
Shape analysis of ventricular structures in mono- and dizygotic twin study [Meeting Abstract]
Styner, M; Jomier, M; Jones, DW; Weinberger, DR; Lieberman, JA; Gerig, G
ISI:000168411700565
ISSN: 0920-9964
CID: 1782152
Segmentation of hippocampal shape: Improved reliability by 2D and 3D visualization of segmented objects and of intra-/inter-rater variability [Meeting Abstract]
Gerig, G; Jomier, M; Chakos, MH; Lieberman, JA
ISI:000168411700521
ISSN: 0920-9964
CID: 1782202
Computer-assisted visualization of arteriovenous malformations on the home personal computer
Bullitt, E; Aylward, S; Bernard, E J Jr; Gerig, G
OBJECTIVE: Arteriovenous malformations (AVMs) are difficult lesions to treat, partly because it is difficult to formulate a three-dimensional mental image of the nidus and its supplying arteries, draining veins, and arteries of passage. Our purpose is to develop personal computer software that allows better visualization of complex, three-dimensional, connected vascular anatomy for surgical planning. METHODS: Vessels are defined from magnetic resonance angiograms and are symbolically linked to form vascular trees. The nidus of the AVM is also defined by magnetic resonance angiography. These representations of the nidus and vasculature can be viewed together in a software program that allows the user to color-code groups of vessels or to selectively turn connected groups of vessels "off" to avoid obscuring the part of the image that the user wants to observe. Structures can be viewed from any angle. The vessels can also be shown intersecting any magnetic resonance angiogram slice or superimposed upon digital subtraction angiograms obtained from the same patient. RESULTS: We report results from two patients with AVMs in which our representations were compared with the findings during surgery. Our three-dimensional vascular trees correctly depicted the relationship of the nidus to feeding vessels in three dimensions. We show findings in an additional, unoperated patient for whom vessel trees were created from three-dimensional digital subtraction angiography data and compared with a volume rendering of the original data set. CONCLUSION: Computer-assisted, three-dimensional visualizations of complex vascular anatomy can be helpful in planning the surgical excision of AVMs. Software programs that produce these images can provide important information that is difficult to obtain by traditional techniques. This imaging method is also applicable to guidance of endovascular procedures and removal of complex tumors.
PMID: 11270548
ISSN: 0148-396x
CID: 1781842
Spatio-temporal segmentation of active multiple sclerosis lesions in serial MRI data
Welti, D.; Gerig, G.; Radu, E.-W.; Kappos, L.; Szekely, G.
INSPEC:7161648
ISSN: 1011-2499
CID: 1783642