Abstract | ||
---|---|---|
In this study, we present a magnetic resonance imaging (MRI)-based, high-resolution, numerical model of the head of a healthy
human subject. In order to formulate the model, we performed quantitative volumetric segmentation on the human head, using
T1-weighted MRI. The high spatial resolution used (1 × 1 × 1 mm3), allowed for the precise computation and visualization of a higher number of anatomical structures than provided by previous
models. Furthermore, the high spatial resolution allowed us to study individual thin anatomical structures of clinical relevance
not visible by the standard model currently adopted in computational bioelectromagnetics. When we computed the electromagnetic
field and specific absorption rate (SAR) at 7 Tesla MRI using this high-resolution model, we were able to obtain a detailed
visualization of such fine anatomical structures as the epidermis/dermis, bone structures, bone-marrow, white matter and nasal
and eye structures. |
Year | DOI | Venue |
---|---|---|
2008 | 10.1007/s11517-008-0414-z | Med. Biol. Engineering and Computing |
Keywords | Field | DocType |
specific absorption rate,magnetic resonance imaging,high resolution,head,magnetic resonance image,brain mapping,cephalometry,electromagnetic fields,standard model,electromagnetic field | Brain mapping,Computer vision,Bioelectromagnetics,Specific absorption rate,Visualization,Segmentation,Artificial intelligence,Image resolution,Mathematics,Human head,Magnetic resonance imaging | Journal |
Volume | Issue | ISSN |
46 | 12 | 1741-0444 |
Citations | PageRank | References |
14 | 1.79 | 5 |
Authors | ||
7 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nikos Makris | 1 | 292 | 36.93 |
Leonardo M. Angelone | 2 | 38 | 7.63 |
Seann Tulloch | 3 | 14 | 1.79 |
Scott Sorg | 4 | 17 | 2.28 |
Jonathan Kaiser | 5 | 27 | 2.89 |
David Kennedy | 6 | 814 | 77.90 |
Giorgio Bonmassar | 7 | 159 | 33.51 |