Quantitative analysis of amyloid mass by segmentation of microPET and CT images

Author

Wall, Jonathan S. ; Richey, Tina ; Allen, Amy ; Stuckey, Alan ; Solomon, Alan ; Kennel, Steve

Author_Institution

Grad. Sch. of Med., Univ. of Tennessee, Knoxville, TN

fYear

2009

fDate

18-19 March 2009

Firstpage

1

Lastpage

4

Abstract

Immunoglobulin light chain amyloidosis (AL) is characterized by the deposition of light chain components as insoluble fibrils in tissues and organs leading to dysfunction and death and is the most common form of peripheral amyloid disease in humans. Presently, there are no means available in the USA to image specifically these deposits and thus ascertain the presence or extent of disease. To this end we have developed an experimental murine model of localized AL and used this to evaluate a radioiodinated amyloid fibril-reactive antibody, 11-1F4. The goal of the present study was to validate the experimental model by correlating the accumulation of ¹²⁴I-11-1F4 antibody in the amyloid, using segmented PET and CT images, with lesion mass, volume, and tissue activity.

Keywords

biological organs; biological tissues; computerised tomography; diagnostic radiography; diseases; image segmentation; medical image processing; positron emission tomography; proteins; wounds; CT image; image segmentation; immunoglobulin light chain amyloidosis; insoluble fibril deposition; lesion mass; microPET image; murine model; peripheral amyloid disease; radioiodinated amyloid fibril-reactive antibody; tissue activity; Animals; Computed tomography; Diseases; Humans; Image analysis; Image segmentation; In vivo; Mice; Pathology; Proteins;

fLanguage

English

Publisher

ieee

Conference_Titel

Biomedical Science & Engineering Conference, 2009. BSEC 2009. First Annual ORNL

Conference_Location

Oak Ridge, TN

Print_ISBN

978-1-4244-3837-2

Type

conf

DOI

10.1109/BSEC.2009.5090489

Filename

5090489