Molecular imaging and its tissue analysis

Author

Heung-Kook Choi ; Choi, Heung-Kook ; Hwang, Hae-Gil ; Charles Kim ; Ntziachristos, Vasilis

Author_Institution

Sch. of Comput. Eng., Inje Univ., Gimhae, South Korea

fYear

2005

fDate

23-25 June 2005

Firstpage

327

Lastpage

330

Abstract

For the 3D image reconstruction we used 32 laser source images, a flat image and 3D surface rendering that confused for 3D fluorescence molecular imaging (FMI). A minimum often tissue sections for Lewis lung carcinoma (LLC) and chemotherapy resistant Lewis lung carcinoma (CR-LLC) tumors were analyzed per tumor for quantification of the TUNEL-positive cells, cell-associated Cy5.5-Annexin and vessel-associated Alexa Fluor-Lectin.

Keywords

cancer; cellular biophysics; image reconstruction; laser applications in medicine; lung; medical image processing; molecular biophysics; patient treatment; proteins; rendering (computer graphics); tumours; 3D fluorescence molecular imaging; 3D image reconstruction; 3D surface rendering; Lewis lung carcinoma; TUNEL-positive cell quantification; cell-associated Cy5.5-Annexin; chemotherapy; laser source image; tissue analysis; tissue section; vessel-associated Alexa Fluor-Lectin; Chemical lasers; Fluorescence; Image analysis; Image reconstruction; Laser tuning; Lung neoplasms; Molecular imaging; Rendering (computer graphics); Surface emitting lasers; Surface reconstruction;

fLanguage

English

Publisher

ieee

Conference_Titel

Enterprise networking and Computing in Healthcare Industry, 2005. HEALTHCOM 2005. Proceedings of 7th International Workshop on

Print_ISBN

0-7803-8940-9

Type

conf

DOI

10.1109/HEALTH.2005.1500474

Filename

1500474