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Digital and print brain atlases have been used with success to help in the planning of neurosurgical interventions. In this paper, a technique presented for the creation of a brain atlas of the basal ganglia and the thalamus derived from serial histological data. Photographs of coronal histological sections were digitized and anatomical structures were manually segmented. A slice-to-slice nonlinear registration technique was used to correct for spatial distortions introduced into the histological data set at the time of acquisition. Since the histological data were acquired without any anatomical reference (e.g., block-face imaging, post-mortem MRI), this registration technique was optimized to use an error metric which calculates a nonlinear transformation minimizing the mean distance between the segmented contours between adjacent pairs of slices in the data set. A voxel-by-voxel intensity correction field was also estimated for each slice to correct for lighting and staining inhomogeneity. The reconstructed three-dimensional (3D) histological volume can be viewed in transverse and sagittal directions in addition to the original coronal. Nonlinear transformations used to correct for spatial distortions of the histological data were applied to the segmented structure contours. These contours were then tessellated to create three-dimensional geometric objects representing the different anatomic regions in register with the histological volumes. This yields two alternate representations (one histological and one geometric) of the atlas. To register the atlas to a standard reference MR volume created from the average of 27 T1-weighted MR volumes, a pseudo-MRI was created by setting the intensity of each anatomical region defined in the geometric atlas to match the intensity of the corresponding region of the reference MR volume. This allowed the estimation of a 3D nonlinear transformation using a correlation based registration scheme to fit the atlas to the reference MRI. The result of this procedure is a contiguous 3D histological volume, a set of 3D objects defining the basal ganglia and thalamus, both of which are registered to a standard MRI data set, for use for neurosurgical planning.
Current patients will feel more at ease knowing what they can expect before and after surgery with our helpful Patients section. This page provides additional information about our neurosurgical expertise, and provides easy access to patient resources.
We always strive to offer our patients the best level of care, and are excited to further enhance our level of patient support with our comprehensive new website. Learn more about Atlas Surgery Center at
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This thoroughly revised and expanded atlas is the ideal reference for residents, fellows, and clinicians to review surgical procedures before entering the operating room. The authors provide step-by-step descriptions of techniques, clearly delineating indications and contraindications, goals, operative preparation and anesthesia, and postoperative management. The main focus of this book is on teaching neurosurgical techniques at the most detailed level.
This book should be read cover to cover by young practitioners several times during their residency, and it will keep more experienced neurosurgeons up-to-date on the latest surgical techniques in the field.
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AtlasGPT is a contextual model built specifically for neurosurgeons, residents, medical students, and patients, delivering significantly more reliable results than other models. Using AtlasGPT, users can ask questions and receive reliable answers from vetted medical sources to inform decision support for patient care, operative planning, research, learning and training, and publication.
Atlas Meditech comprises a suite of next-generation surgical intelligence innovations including AtlasGPT, its nonprofit flagship Neurosurgical Atlas, and Atlas Intelligence, an operative guidance tool using virtual twin worlds and artificial intelligence algorithms (to be released soon).
The Journal of Neurosurgery Publishing Group (JNSPG) is the scholarly journals publication arm of the American Association of Neurological Surgeons (AANS), a nonprofit organization whose mission is to advance the practice of neurosurgery worldwide.
This MRI atlas of the spine is the fruit of interdisciplinary cooperation among radiologists, orthopedic surgeons, traumatologists, and neurosurgeons. It is a clinically oriented atlas that covers all important diseases and injuries of the spine. Ample illustrations are supplemented by concise descriptions of anatomy and pathophysiology, the normal and abnormal MRI appearance, diagnostic pitfalls, and the clinical significance of MRI. The clear and didactic style enables readers to revise the fundamentals of spinal anatomy and disease states as a basis for understanding the diagnostic strategies and surgical management. By combining descriptions of the clinical manifestation of spinal disorders with the corresponding MRI findings, the authors hope to help readers develop a meaningful approach to the interpretation of MRI of the spine.
He is known for taking on the most difficult surgical cases and delivering the most optimal results. He specializes in the diagnosis and treatment of a variety of brain tumors and other diagnoses including gliomas and meningiomas, acoustic neuromas, pituitary tumors, arteriovenous malformations, trigeminal neuralgia, and hemifacial spasm.
Dr. Cohen is a relentless innovator, committed to technical excellence and achieving the best possible outcomes for his patients. This manifests in his many roles as a surgeon, professor, researcher, author, speaker, mentor, and pioneer. He founded one of the country's most competitive neurosurgical tumor/skull base surgery fellowships and has served as a role model and mentor to hundreds of students, residents, and fellows since 2007.
Cohen completed his residency training in neurosurgery at Mayo Clinic in Rochester, Minnesota. He also completed advanced fellowship training in two subspecialties: epilepsy surgery (Yale University) and skull base/cerebrovascular surgery (University of Arkansas Medical Sciences.) He also attained a master's degree in clinical research from Mayo Clinic Graduate School and Master's degree in Business administration from Kelley School of business.
He is currently involved in the care of patients for a variety of brain tumors (gliomas and meningiomas,) complex brain tumors (skull base, acoustic, and pituitary tumors,) cerebral aneurysms and arteriovenous malformations, trigeminal neuralgia, hemifacial spasm, and seizures. Dr. Cohen performs approximately 400 brain operations per year.
Dr. Cohen's clinical research includes neurosurgical operative anatomy using virtual reality and advanced three-dimensional modeling, innovative operative approaches to deep lesions, and intraoperative fluorescence/mass spectroscopy. His basic science research is focused on novel drug therapies for glioblastoma. He has published more than 510 peer-reviewed articles on the aforementioned topics. Please see his publications at the National Library of Medicine.
Dr. Cohen is married to Isabelle Saparzadeh and has two daughters (Lianna and Serene) and one son (Aaron Leon). In his free time, he studies non-medical technologies including 3D animation and photography.
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