Title :
Minimum-norm least-squares estimation: magnetic source images for a spherical model head
Author_Institution :
Dept. of Phys., New York Univ., NY, USA
fDate :
4/1/1993 12:00:00 AM
Abstract :
The minimum-norm least-squares inverse approach to a local spherical model for the conductivity geometry of the human head is extended. In simulations of cortical activity of the human brain, the magnetic field pattern across the scalp is interpreted with prior knowledge of anatomy, and the properties of intraneuronal current flow to yield a unique magnetic source image across a portion of cerebral cortex. Influences on the quality of magnetic source images from the noise in measurements, the position errors in determining the image surface, and the number of sensors are evaluated in detail.
Keywords :
biomagnetism; brain models; inverse problems; conductivity geometry; human brain cortical activity simulations; image quality; image surface; intraneuronal current flow; magnetic source images; measurement noise; minimum-norm least-squares inverse approach; position errors; scalp; sensors number; spherical model head; Anatomy; Brain modeling; Conductivity; Geometry; Humans; Magnetic field measurement; Magnetic heads; Magnetic properties; Scalp; Solid modeling; Cerebral Cortex; Head; Humans; Image Enhancement; Least-Squares Analysis; Magnetics; Mathematics; Models, Structural;
Journal_Title :
Biomedical Engineering, IEEE Transactions on
