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

Improved mathematical and computatio...

Calabro, Katherine Weaver.

FindBook

Google Book

Amazon

博客來

Improved mathematical and computational tools for modeling photon propagation in tissue.

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Improved mathematical and computational tools for modeling photon propagation in tissue./
作者:	Calabro, Katherine Weaver.
面頁冊數:	272 p.
附註:	Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
Contained By:	Dissertation Abstracts International74-03B(E).
標題:	Biophysics, General. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3532814
ISBN:	9781267762177

Improved mathematical and computational tools for modeling photon propagation in tissue.
Calabro, Katherine Weaver.

Improved mathematical and computational tools for modeling photon propagation in tissue. - 272 p.

Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.

Thesis (Ph.D.)--Boston University, 2013.

Light interacts with biological tissue through two predominant mechanisms: scattering and absorption, which are sensitive to the size and density of cellular organelles, and to biochemical composition (ex. hemoglobin), respectively. During the progression of disease, tissues undergo a predictable set of changes in cell morphology and vascularization, which directly affect their scattering and absorption properties. Hence, quantification of these optical property differences can be used to identify the physiological biomarkers of disease with interest often focused on cancer.

ISBN: 9781267762177Subjects--Topical Terms:

1019105
Biophysics, General.

Improved mathematical and computational tools for modeling photon propagation in tissue.
LDR:03309nam a2200313 4500 001 1959640
005 20140520124450.5
008 150210s2013 ||||||||||||||||| ||eng d
020 $a 9781267762177
035 $a (MiAaPQ)AAI3532814
035 $a AAI3532814
040 $a MiAaPQ $c MiAaPQ
100 1 $a Calabro, Katherine Weaver. $3 2095118
245 1 0 $a Improved mathematical and computational tools for modeling photon propagation in tissue.
300 $a 272 p.
500 $a Source: Dissertation Abstracts International, Volume: 74-03(E), Section: B.
500 $a Adviser: Irving Bigio.
502 $a Thesis (Ph.D.)--Boston University, 2013.
520 $a Light interacts with biological tissue through two predominant mechanisms: scattering and absorption, which are sensitive to the size and density of cellular organelles, and to biochemical composition (ex. hemoglobin), respectively. During the progression of disease, tissues undergo a predictable set of changes in cell morphology and vascularization, which directly affect their scattering and absorption properties. Hence, quantification of these optical property differences can be used to identify the physiological biomarkers of disease with interest often focused on cancer.
520 $a Diffuse reflectance spectroscopy is a diagnostic tool, wherein broadband visible light is transmitted through a fiber optic probe into a turbid medium, and after propagating through the sample, a fraction of the light is collected at the surface as reflectance. The measured reflectance spectrum can be analyzed with appropriate mathematical models to extract the optical properties of the tissue, and from these, a set of physiological properties. A number of models have been developed for this purpose using a variety of approaches -- from diffusion theory, to computational simulations, and empirical observations. However, these models are generally limited to narrow ranges of tissue and probe geometries.
520 $a In this thesis, reflectance models were developed for a much wider range of measurement parameters, and influences such as the scattering phase function and probe design were investigated rigorously for the first time. The results provide a comprehensive understanding of the factors that influence reflectance, with novel insights that, in some cases, challenge current assumptions in the field. An improved Monte Carlo simulation program, designed to run on a graphics processing unit (GPU), was built to simulate the data used in the development of the reflectance models. Rigorous error analysis was performed to identify how inaccuracies in modeling assumptions can be expected to affect the accuracy of extracted optical property values from experimentally-acquired reflectance spectra. From this analysis, probe geometries that offer the best robustness against error in estimation of physiological properties from tissue, are presented. Finally, several in vivo studies demonstrating the use of reflectance spectroscopy for both research and clinical applications are presented.
590 $a School code: 0017.
650 4 $a Biophysics, General. $3 1019105
650 4 $a Engineering, Biomedical. $3 1017684
650 4 $a Physics, Optics. $3 1018756
690 $a 0786
690 $a 0541
690 $a 0752
710 2 $a Boston University. $b Biomedical Engineering. $3 2095119
773 0 $t Dissertation Abstracts International $g 74-03B(E).
790 $a 0017
791 $a Ph.D.
792 $a 2013
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3532814