東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Near infrared spectroscopic measurem...

Gurnani, Prem Prakashchand.

FindBook

Google Book

Amazon

博客來

Near infrared spectroscopic measurement of human and animal brain structures.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Near infrared spectroscopic measurement of human and animal brain structures./
作者:	Gurnani, Prem Prakashchand.
面頁冊數:	180 p.
附註:	Source: Masters Abstracts International, Volume: 42-01, page: 0276.
Contained By:	Masters Abstracts International42-01.
標題:	Engineering, Biomedical. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1414745

Near infrared spectroscopic measurement of human and animal brain structures.
Gurnani, Prem Prakashchand.

Near infrared spectroscopic measurement of human and animal brain structures. - 180 p.

Source: Masters Abstracts International, Volume: 42-01, page: 0276.

Thesis (M.S.)--The University of Texas at Arlington, 2003.

Near Infrared Spectroscopy (NIRS) studies have been carried out on human and animal brains to validate its ability to identify different brain structures <italic> in vivo</italic> for functional neurosurgery using our miniaturized, optical probe with a portable optical spectrometer. NIRS has proved to be accurate and easy to use when compared with the measurement of action potentials from brain cells of the rats. Histology results of the rat brain have further strengthened the NIRS results. To further determine the spatial resolution of the probe, extensive Monte Carlo simulation study has been conducted for single- and multi-layer tissue models, resulting in a preliminary mathematical model to quantify the light propagation in the brain tissue layers. Moreover, we have developed an inverse calculation algorithm using Mie scattering theory in order to compute densities and particle size distributions of effective scatterers in the brain tissues. These two parameters may serve as signatures to distinguish gray and white matter at the cellular level of the brain, providing one-dimensional mapping of anatomical structures <italic>in vivo</italic> for functional neurosurgery.Subjects--Topical Terms:

1017684
Engineering, Biomedical.

Near infrared spectroscopic measurement of human and animal brain structures.
LDR:02072nmm 2200289 4500 001 1857661
005 20040816072818.5
008 130614s2003 eng d
035 $a (UnM)AAI1414745
035 $a AAI1414745
040 $a UnM $c UnM
100 1 $a Gurnani, Prem Prakashchand. $3 1945376
245 1 0 $a Near infrared spectroscopic measurement of human and animal brain structures.
300 $a 180 p.
500 $a Source: Masters Abstracts International, Volume: 42-01, page: 0276.
500 $a Supervisor: Hanli Liu.
502 $a Thesis (M.S.)--The University of Texas at Arlington, 2003.
520 $a Near Infrared Spectroscopy (NIRS) studies have been carried out on human and animal brains to validate its ability to identify different brain structures <italic> in vivo</italic> for functional neurosurgery using our miniaturized, optical probe with a portable optical spectrometer. NIRS has proved to be accurate and easy to use when compared with the measurement of action potentials from brain cells of the rats. Histology results of the rat brain have further strengthened the NIRS results. To further determine the spatial resolution of the probe, extensive Monte Carlo simulation study has been conducted for single- and multi-layer tissue models, resulting in a preliminary mathematical model to quantify the light propagation in the brain tissue layers. Moreover, we have developed an inverse calculation algorithm using Mie scattering theory in order to compute densities and particle size distributions of effective scatterers in the brain tissues. These two parameters may serve as signatures to distinguish gray and white matter at the cellular level of the brain, providing one-dimensional mapping of anatomical structures <italic>in vivo</italic> for functional neurosurgery.
590 $a School code: 2502.
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Biophysics, Medical. $3 1017681
650 4 $a Biology, Neuroscience. $3 1017680
650 4 $a Biology, Anatomy. $3 1021727
690 $a 0541
690 $a 0760
690 $a 0317
690 $a 0287
710 2 0 $a The University of Texas at Arlington. $3 1025869
773 0 $t Masters Abstracts International $g 42-01.
790 1 0 $a Liu, Hanli, $e advisor
790 $a 2502
791 $a M.S.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1414745