Semi-automated method for estimating lesion volumes

Accurately measuring the volume of tissue damage in experimental lesion models is crucial to adequately control for the extent and location of the lesion, variables that can dramatically bias the outcome of preclinical studies. Many of the current commonly used techniques for this assessment, such as measuring the lesion volume with primitive software macros and plotting the lesion location manually using atlases, are time-consuming and offer limited precision. Here we present an easy to use semi-automated computational method for determining lesion volume and location, designed to increase precision and reduce the manual labor required. We compared this novel method to currently used methods and demonstrate that this tool is comparable or superior to current techniques in terms of precision and has distinct advantages with respect to user interface, labor intensiveness and quality of data presentation.

[1]  L. Lemieux,et al.  Development of Hippocampal Atrophy: A Serial Magnetic Resonance Imaging Study in a Patient Who Developed Epilepsy After Generalized Status Epilepticus , 1997, Epilepsia.

[2]  A. Machado,et al.  Chronic electrical stimulation of the contralesional lateral cerebellar nucleus enhances recovery of motor function after cerebral ischemia in rats , 2009, Brain Research.

[3]  D. Corbett,et al.  An analysis of four different methods of producing focal cerebral ischemia with endothelin-1 in the rat , 2006, Experimental Neurology.

[4]  M. Chopp,et al.  Therapeutic Benefit of Intravenous Administration of Bone Marrow Stromal Cells After Cerebral Ischemia in Rats , 2001, Stroke.

[5]  Steven C Cramer,et al.  Motor cortex stimulation for enhancement of recovery after stroke: Case report , 2003, Neurological research.

[6]  M. Bastin,et al.  Do Acute Diffusion- and Perfusion-Weighted MRI Lesions Identify Final Infarct Volume in Ischemic Stroke? , 2006, Stroke.

[7]  A. Machado,et al.  Deep brain stimulation of the lateral cerebellar nucleus produces frequency-specific alterations in motor evoked potentials in the rat in vivo , 2010, Experimental Neurology.

[8]  T. Jones,et al.  Cortical electrical stimulation combined with rehabilitative training: Enhanced functional recovery and dendritic plasticity following focal cortical ischemia in rats , 2003, Neurological research.

[9]  J. Kleim,et al.  Motor cortex stimulation enhances motor recovery and reduces peri-infarct dysfunction following ischemic insult , 2003, Neurological research.

[10]  Ian D. Reid,et al.  A plane measuring device , 1999, Image Vis. Comput..

[11]  S L Dawson,et al.  Tissue ablation with radiofrequency: effect of probe size, gauge, duration, and temperature on lesion volume. , 1995, Academic radiology.

[12]  M. Luby,et al.  Lesion Volume Change After Treatment With Tissue Plasminogen Activator Can Discriminate Clinical Responders From Nonresponders , 2007, Stroke.

[13]  Robert Zivadinov,et al.  Abnormal subcortical deep-gray matter susceptibility-weighted imaging filtered phase measurements in patients with multiple sclerosis A case-control study , 2012, NeuroImage.

[14]  L. Hall,et al.  Evolution of photochemically induced focal cerebral ischemia in the rat. Magnetic resonance imaging and histology. , 1996, Stroke.

[15]  G. Paxinos,et al.  The Rat Brain in Stereotaxic Coordinates , 1983 .

[16]  J. P. Miller,et al.  Effect of constraint-induced movement therapy on upper extremity function 3 to 9 months after stroke: the EXCITE randomized clinical trial. , 2006, JAMA.

[17]  J. Bachevalier,et al.  Volume of focal brain lesions and hippocampal formation in relation to memory function after closed head injury in children , 2000, Journal of neurology, neurosurgery, and psychiatry.

[18]  Kenneth R. Sloan,et al.  Surfaces from contours , 1992, TOGS.

[19]  D. Rotella,et al.  Volumetric effects of motor cortex injury on recovery of ipsilesional dexterous movements , 2011, Experimental Neurology.

[20]  Jonathan Ophir,et al.  An Algorithm for Volume Estimation Based on Polyhedral Approxi mation , 1980, IEEE Transactions on Biomedical Engineering.

[21]  J. Duyn,et al.  Lesions by tissue specific imaging characterize multiple sclerosis patients with more advanced disease , 2011, Multiple sclerosis.