A Case Study in Pharmacologic Colon Imaging Using Principal Curves in Single-Photon Emission Computed Tomography

In this article we are concerned with functional imaging of the colon to assess the kinetics of microbicide lubricants. The overarching goal is to understand the distribution of the lubricants in the colon. Such information is crucial for understanding the potential impact of microbicides on human i...

Full description

Saved in:
Bibliographic Details
Published inJournal of the American Statistical Association Vol. 103; no. 484; pp. 1470 - 1480
Main Authors Caffo, Brian S., Crainiceanu, Ciprian M., Deng, Lijuan, Hendrix, Craig W.
Format Journal Article
LanguageEnglish
Published Alexandria, VA Taylor & Francis 01.12.2008
American Statistical Association
Taylor & Francis Ltd
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:In this article we are concerned with functional imaging of the colon to assess the kinetics of microbicide lubricants. The overarching goal is to understand the distribution of the lubricants in the colon. Such information is crucial for understanding the potential impact of microbicides on human immunodeficiency virus transmission. The experiment was conducted by imaging a radiolabeled lubricant distributed in the subject's colon. The tracer imaging was conducted via single-photon emission computed tomography, a noninvasive, in vivo functional imaging technique. We have developed a novel principal curve algorithm to construct a three-dimensional curve through the colon images. The algorithm was tested and debugged on several difficult two-dimensional images of familiar curves where the original principal curve algorithm does not apply. The final curve fit to the colon data is compared with experimental sigmoidoscope collection.
Bibliography:ObjectType-Case Study-2
SourceType-Scholarly Journals-1
content type line 14
ObjectType-Feature-4
ObjectType-Report-1
ObjectType-Article-3
ObjectType-Feature-3
ObjectType-Article-1
ObjectType-Feature-2
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:0162-1459
1537-274X
DOI:10.1198/016214508000000832