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Imaging Anatomy Brain and Spine

Langue : Anglais
Couverture de l’ouvrage Imaging Anatomy Brain and Spine

This richly illustrated and superbly organized text/atlas is an excellent point-of-care resource for practitioners at all levels of experience and training. Written by global leaders in the field, Imaging Anatomy: Brain and Spine provides a thorough understanding of the detailed normal anatomy that underlies contemporary imaging. This must-have reference employs a templated, highly formatted design; concise, bulleted text; and state-of- the-art images throughout that identify the clinical entities in each anatomic area.

  • Features more than 2,500 high-resolution images throughout, including 7T MR, fMRI, diffusion tensor MRI, and multidetector row CT images in many planes, combined with over 300 correlative full-color anatomic drawings that show human anatomy in the projections that radiologists use.
  • Covers only the brain and spine, presenting multiplanar normal imaging anatomy in all pertinent modalities for an unsurpassed, comprehensive point-of-care clinical reference.
  • Incorporates recent, stunning advances in imaging such as 7T and functional MR imaging, surface and segmented anatomy, single-photon emission computed tomography (SPECT) scans, dopamine transporter (DAT) scans, and 3D quantitative volumetric scans.
  • Places 7T MR images alongside 3T MR images to highlight the benefits of using 7T MR imaging as it becomes more widely available in the future.
  • Presents essential text in an easy-to-digest, bulleted format, enabling imaging specialists to find quick answers to anatomy questions encountered in daily practice.
  • Includes the Expert ConsultT version of the book, allowing you to search all the text, figures, and references on a variety of devices.

Brain

Scalp, Skull, and Meninges

Scalp and Calvarial Vault

Cranial Meninges

Pia and Perivascular Spaces

Supratentorial Brain Anatomy

Cerebral Hemispheres Overview

Gyral/Sulcal Anatomy

White Matter Tracts

Basal Ganglia and Thalamus

Other Deep Gray Nuclei

Limbic System

Sella, Pituitary, and Cavernous Sinus

Pineal Region

Primary Somatosensory Cortex (Areas 1, 2, 3)

Primary Motor Cortex (Area 4)

Superior Parietal Cortex (Areas 5, 7)

Premotor Cortex and Supplementary Motor Area (Area 6)

Superior Prefrontal Cortex (Area 8)

Dorsolateral Prefrontal Cortex (Areas 9, 46)

Frontal Pole (Area 10)

Orbitofrontal Cortex (Area 11)

Insula and Parainsula Areas (Areas 13, 43)

Primary Visual and Visual Association Cortex (Areas 17, 18, 19)

Temporal Cortex (Areas 20, 21, 22)

Posterior Cingulate Cortex (Areas 23, 31)

Anterior Cingulate Cortex (Areas 24, 32, 33)

Subgenual Cingulate Cortex (Area 25)

Retrosplenial Cingulate Cortex (Areas 29, 30)

Parahippocampal Gyrus (Areas 28, 34, 35, 36)

Fusiform Gyrus (Area 37)

Temporal Pole (Area 38)

Inferior Parietal Lobule (Areas 39, 40)

Primary Auditory and Auditory Association Cortex (Areas 41, 42)

Inferior Frontal Gyrus (Areas 44, 45, 47)

High-Resolution Cortical Anatomy

Brain Network Anatomy

Functional Network Overview

Neurotransmitter Systems

Default Mode Network

Attention Control Network

Sensorimotor Network

Visual Network

Limbic Network

Language Network

Memory Network

Social Network

Infratentorial Brain

Brainstem and Cerebellum Overview

Midbrain

Pons

Medulla

Cerebellum

Cerebellopontine Angle/IAC

CSF Spaces

Ventricles and Choroid Plexus

Subarachnoid Spaces/Cisterns

Skull Base and Cranial Nerves

Skull Base Overview

Anterior Skull Base

Central Skull Base

Posterior Skull Base

Cranial Nerves Overview

Olfactory Nerve (CNI)

Optic Nerve (CNII)

Oculomotor Nerve (CNIII)

Trochlear Nerve (CNIV)

Trigeminal Nerve (CNV)

Abducens Nerve (CNVI)

Facial Nerve (CNVII)

Vestibulocochlear Nerve (CNVIII)

Glossopharyngeal Nerve (CNIX)

Vagus Nerve (CNX)

Accessory Nerve (CNXI)

Hypoglossal Nerve (CNXII)

Extracranial Arteries

Aortic Arch and Great Vessels

Cervical Carotid Arteries

Intracranial Arteries

Intracranial Arteries Overview

Intracranial Internal Carotid Artery

Circle of Willis

Anterior Cerebral Artery

Middle Cerebral Artery

Posterior Cerebral Artery

Vertebrobasilar System

Veins and Venous Sinuses

Intracranial Venous System Overview

Dural Sinuses

Superficial Cerebral Veins

Deep Cerebral Veins

Posterior Fossa Veins

Extracranial Veins

Spine

Vertebral Column, Discs, and Paraspinal Muscle

Vertebral Column Overview

Ossification

Vertebral Body and Ligaments

Intervertebral Disc and Facet Joints

Paraspinal Muscles

Craniocervical Junction

Cervical Spine

Thoracic Spine

Lumbar Spine

Sacrum and Coccyx

Cord, Meninges, and Spaces

Spinal Cord and Cauda Equina

Meninges and Compartments

Vascular

Spinal Arterial Supply

Spinal Veins and Venous Plexus

Plexi and Peripheral Nerves

Brachial Plexus

Lumbar Plexus

Sacral Plexus and Sciatic Nerve

Peripheral Nerve and Plexus Overview

Anne G. Osborn, MD, FACR, is a University Distinguished Professor and Professor of Radiology and Imaging Sciences and

William H. and Patricia W. Child Presidential Endowed Chair in Radiology at the

University of Utah School of Medicine in

Salt Lake City, Utah


Karen L. Salzman, MD, FACR, is Professor of Radiology and Imaging Sciences. She is the Neuroradiology Section Chief and Associate Fellowship Director, and holds the Leslie W. Davis Endowed Chair in Neuroradiology at the University of Utah School of Medicine in Salt Lake City, Utah.
Arthur W. Toga is the Director, Laboratory of Neuro Imaging, Director, Institute of Neuroimaging and Informatics, Provost Professor, Departments of Ophthalmology, Neurology, Psychiatry, and the Behavioral Sciences, Radiology and Engineering at the Keck School of Medicine of USC. His research is focused on neuroimaging, informatics, mapping brain structure and function, and brain atlasing. He has developed multimodal imaging and data aggregation strategies and applied them in a variety of neurological diseases and psychiatric disorders. His work in informatics includes the development and implementation of some of the largest and most widely used databases and data mining tools linking disparate data from genetics, imaging, clinical and behavior, supporting global efforts in Alzheimer's disease, Huntington's and Parkinson's disease. He was trained in neuroscience and computer science and has written more than 1,000 papers, chapters and abstracts, including eight books. Recruited to USC in 2013, he directs the Laboratory of Neuro Imaging. This 110-member laboratory includes graduate students from computer science, biostatistics and neuroscience. It is funded with grants from the National Institutes of Health grants as well as industry partners. He has received numerous awards and honors in computer science, graphics and neuroscience. Prior to coming to USC he was a Distinguished Professor Neurology at UC

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