Kishore Mosaliganti, Tony Pan, Richard Sharp, Randall Ridgway, Srivathsan Iyengar, Alexandra Gulacy, Pamela Wenzel, Alain de Bruin, Raghu Machiraju, Kun Huang, Gustavo Leone, Joel Saltz
Inactivation of the retinoblastoma gene in mouse embryos causes tissue infiltrations into critical sections of the placenta, which has been shown to affect fetal survivability. Our collaborators in cancer genetics are extremely
interested in examining the three dimensional nature of these infiltrations given a stack of two dimensional light
microscopy images. Three sets of wildtype and mutant placentas was sectioned serially and digitized using a
commercial light microscopy scanner. Each individual placenta dataset consisted of approximately 1000 images
totaling 700 GB in size, which were registered into a volumetric dataset using National Library of Medicine's
(NIH/NLM) Insight Segmentation and Registration Toolkit (ITK). This paper describes our method for image
registration to aid in volume visualization of tissue level intermixing for both wildtype and Rb- specimens. The
registration process faces many challenges arising from the large image sizes, damages during sectioning, staining
gradients both within and across sections, and background noise. These issues limit the direct application of
standard registration techniques due to frequent convergence to local solutions. In this work, we develop a mixture
of automated and semi-automated enhancements with ground-truth validation for the mutual information-based
registration algorithm. Our final volume renderings clearly show tissue intermixing differences between both
wildtype and Rb- specimens which are not obvious prior to registration.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
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.