Event Abstract Back to Event A Digital Atlas of the Guinea Pig Brain. A Comparative Study of qMRI at 3T with Histological Sections. Marie Drottar1* and Hernan Jara2 1 Boston University, Division of Graduate Medical Sciences: BioImaging Program, United States 2 Boston University, Department of Radiology, Medical School, United States PURPOSE: High quality magnetic resonance images of the guinea pig brain have been collected using quantitative MRI scanning techniques. This series of images reveals a set of digital images of the guinea pig brain in sections that are comparable to a set of images obtained with commonly used histological sectioning and staining protocols. These image sets lend themselves to the construction of a freely accessible and user friendly digital atlas that can be labeled with anatomical structures and used as a searchable database. METHOD AND MATERIALS: One healthy adult male guinea pig was sub-lethally anesthetized and perfused with 4% formalin through the heart in accordance with the IACUC approved protocol at the Mass Eye and Ear Infirmary. The entire brain (still within the cranial vault), was post-fixed for 2 hrs in 4% formalin, and then removed into 0.01M phosphate buffered saline for one week. The specimen was then immobilized in a 2% agarose block. Imaging was accomplished using a z3D-mixed-TSE scanning protocol in a 3T clinical MRI scanner (Philips Medical Systems, Cleveland OH). After Scanning was accomplished, the specimen was removed from agarose, dissected from the cranial vault, and frozen sectioned at 80um on a sliding microtome. Alternate sections were stained with a Nissl stain, and an acetylcholinesterase stain. RESULTS: Three sets of anatomical images were converted to jpeg format, and multiple anatomical structures were labeled in order to make comparisons. CONCLUSION: The quantitative magnetic resonance images (qMRI) provide an anatomical image set which is comparable to the pervasive āgold standardā histological data. These image sets lend themselves easily to the construction of digital image sets which will be accessible, searchable and forms a valuable resource to the research community. This pulse sequence and construction format also has the potential to be applied to in vivo applications. Keywords: digital atlasing Conference: 4th INCF Congress of Neuroinformatics, Boston, United States, 4 Sep - 6 Sep, 2011. Presentation Type: Poster Presentation Topic: Digital atlasing Citation: Drottar M and Jara H (2011). A Digital Atlas of the Guinea Pig Brain. A Comparative Study of qMRI at 3T with Histological Sections.. Front. Neuroinform. Conference Abstract: 4th INCF Congress of Neuroinformatics. doi: 10.3389/conf.fninf.2011.08.00083 Copyright: The abstracts in this collection have not been subject to any Frontiers peer review or checks, and are not endorsed by Frontiers. They are made available through the Frontiers publishing platform as a service to conference organizers and presenters. The copyright in the individual abstracts is owned by the author of each abstract or his/her employer unless otherwise stated. Each abstract, as well as the collection of abstracts, are published under a Creative Commons CC-BY 4.0 (attribution) licence (https://creativecommons.org/licenses/by/4.0/) and may thus be reproduced, translated, adapted and be the subject of derivative works provided the authors and Frontiers are attributed. For Frontiersā terms and conditions please see https://www.frontiersin.org/legal/terms-and-conditions. Received: 17 Oct 2011; Published Online: 19 Oct 2011. * Correspondence: Dr. Marie Drottar, Boston University, Division of Graduate Medical Sciences: BioImaging Program, Boston, United States, mdrottar@bu.edu Login Required This action requires you to be registered with Frontiers and logged in. To register or login click here. Abstract Info Abstract The Authors in Frontiers Marie Drottar Hernan Jara Google Marie Drottar Hernan Jara Google Scholar Marie Drottar Hernan Jara PubMed Marie Drottar Hernan Jara Related Article in Frontiers Google Scholar PubMed Abstract Close Back to top Javascript is disabled. Please enable Javascript in your browser settings in order to see all the content on this page.
Read full abstract