Development and validation of factor analysis for dynamic in-vivo imaging data sets

Lukas Goldschmied; Peter Knoll; Siroos Mirzaei; Vyacheslav Kalchenko

doi:10.1117/12.2291543

13 February 2018 Development and validation of factor analysis for dynamic in-vivo imaging data sets

Lukas Goldschmied, Peter Knoll, Siroos Mirzaei, Vyacheslav Kalchenko

Proceedings Volume 10493, Dynamics and Fluctuations in Biomedical Photonics XV; 104931R (2018) https://doi.org/10.1117/12.2291543
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

In-vivo optical imaging method provides information about the anatomical structures and function of tissues ranging from single cell to entire organisms. Dynamic Fluorescent Imaging (DFI) is used to examine dynamic events related to normal physiology or disease progression in real time. In this work we improve this method by using factor analysis (FA) to automatically separate overlying structures.The proposed method is based on a previously introduced Transcranial Optical Vascular Imaging (TOVI), which employs natural and sufficient transparency through the intact cranial bones of a mouse. Fluorescent image acquisition is performed after intravenous fluorescent tracer administration. Afterwards FA is used to extract structures with different temporal characteristics from dynamic contrast enhanced studies without making any a priori assumptions about physiology. The method was validated by a dynamic light phantom based on the Arduino hardware platform and dynamic fluorescent cerebral hemodynamics data sets. Using the phantom data FA can separate various light channels without user intervention. FA applied on an image sequence obtained after fluorescent tracer administration is allowing extracting valuable information about cerebral blood vessels anatomy and functionality without a-priory assumptions of their anatomy or physiology while keeping the mouse cranium intact. Unsupervised color-coding based on FA enhances visibility and distinguishing of blood vessels belonging to different compartments. DFI based on FA especially in case of transcranial imaging can be used to separate dynamic structures.

Citation Download Citation

Lukas Goldschmied, Peter Knoll, Siroos Mirzaei, and Vyacheslav Kalchenko "Development and validation of factor analysis for dynamic in-vivo imaging data sets", Proc. SPIE 10493, Dynamics and Fluctuations in Biomedical Photonics XV, 104931R (13 February 2018); https://doi.org/10.1117/12.2291543

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
6 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Factor analysis

Data modeling

In vivo imaging

Blood vessels

Image enhancement

Light scattering

Vascular imaging

Keywords/Phrases

Search In:

Publication Years