Literature DB >> 18418990

Clinical anatomy of the canine brain using magnetic resonance imaging.

Edmund J Leigh1, Edward Mackillop, Ian D Robertson, Lola C Hudson.   

Abstract

The purpose of this study was to produce an magnetic resonsnce (MR) image atlas of clinically relevant brain anatomy and to relate this neuroanatomy to clinical signs. The brain of a large mixed breed dog was imaged in transverse, sagittal, and dorsal planes using a 1.5 T MR unit and the following pulse sequences: Turbo (fast) spin echo (TSE) T2, T1, and T2- weighted spatial and chemical shift-encoded excitation sequence. Relevant neuroanatomic structures were identified using anatomic texts, sectioned cadaver heads, and previously published atlases. Major subdivisions of the brain were mapped and the neurologic signs of lesions in these divisions were described. TSE T2-weighted images were found to be the most useful for identifying clinically relevant neuroanatomy. Relating clinical signs to morphology as seen on MR will assist veterinarians to better understand clinically relevant neuroanatomy in MR images.

Entities:  

Mesh:

Year:  2008        PMID: 18418990     DOI: 10.1111/j.1740-8261.2008.00336.x

Source DB:  PubMed          Journal:  Vet Radiol Ultrasound        ISSN: 1058-8183            Impact factor:   1.363


  16 in total

1.  Normal canine brain maturation at magnetic resonance imaging.

Authors:  Bill Gross; David Garcia-Tapia; Elizabeth Riedesel; Norman Matthew Ellinwood; Jackie K Jens
Journal:  Vet Radiol Ultrasound       Date:  2010 Jul-Aug       Impact factor: 1.363

2.  A neuroanatomical study of the feline brain using MRI and mulligan staining: functional and pathological considerations.

Authors:  E Díaz Martínez; M D Ayala Florenciano; A Arencibia Espinosa; M Soler Laguía; D Kilroy; F Martínez Gomariz; G Ramírez Zarzosa
Journal:  Iran J Vet Res       Date:  2021       Impact factor: 1.376

3.  Establishing an MRI-Based Protocol and Atlas of the Bearded Dragon (Pogona vitticeps) Brain.

Authors:  Kari D Foss; Krista A Keller; Spencer P Kehoe; Bradley P Sutton
Journal:  Front Vet Sci       Date:  2022-05-13

4.  MRI assessment of experimental gliomas using 17.6 T.

Authors:  Marc A Schwarz; Mirko Pham; Xavier Helluy; Arnd Doerfler; Tobias Engelhorn
Journal:  Neuroradiology       Date:  2013-03-10       Impact factor: 2.804

5.  Segmentation of the canine corpus callosum using diffusion-tensor imaging tractography.

Authors:  Theodore T Pierce; Evan Calabrese; Leonard E White; Steven D Chen; Simon R Platt; James M Provenzale
Journal:  AJR Am J Roentgenol       Date:  2014-01       Impact factor: 3.959

6.  Magnetic resonance imaging signs of high intraventricular pressure--comparison of findings in dogs with clinically relevant internal hydrocephalus and asymptomatic dogs with ventriculomegaly.

Authors:  Steffi Laubner; Nele Ondreka; Klaus Failing; Martin Kramer; Martin J Schmidt
Journal:  BMC Vet Res       Date:  2015-08-01       Impact factor: 2.741

7.  A Subset of Dogs with Presumptive Idiopathic Epilepsy Show Hippocampal Asymmetry: A Volumetric Comparison with Non-Epileptic Dogs Using MRI.

Authors:  Chelsie M Estey; Curtis W Dewey; Mark Rishniw; David M Lin; Jennifer Bouma; Joseph Sackman; Erica Burkland
Journal:  Front Vet Sci       Date:  2017-11-08

8.  Central vestibular syndrome in a red fox (Vulpes vulpes) with presumptive right caudal cerebral artery ischemic infarct and prevalent midbrain involvement.

Authors:  Mario Ricciardi; Floriana Gernone; Antonio De Simone; Pasquale Giannuzzi
Journal:  Open Vet J       Date:  2017-06-29

9.  Comparison of electroencephalographic findings with hippocampal magnetic resonance imaging volumetry in dogs with idiopathic epilepsy.

Authors:  Adriana Czerwik; Marta Płonek; Przemyslaw Podgórski; Marcin Wrzosek
Journal:  J Vet Intern Med       Date:  2018-10-16       Impact factor: 3.333

10.  A digital atlas of the dog brain.

Authors:  Ritobrato Datta; Jongho Lee; Jeffrey Duda; Brian B Avants; Charles H Vite; Ben Tseng; James C Gee; Gustavo D Aguirre; Geoffrey K Aguirre
Journal:  PLoS One       Date:  2012-12-20       Impact factor: 3.240

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