A1 Vertaisarvioitu alkuperäisartikkeli tieteellisessä lehdessä

Virtual reality for 3D histology: multi-scale visualization of organs with interactive feature exploration




TekijätLiimatainen Kaisa, Latonen Leena, Valkonen Masi, Kartasalo Kimmo, Ruusuvuori Pekka

KustantajaBMC

Julkaisuvuosi2021

JournalBMC Cancer

Tietokannassa oleva lehden nimiBMC CANCER

Lehden akronyymiBMC CANCER

Artikkelin numeroARTN 1133

Vuosikerta21

Sivujen määrä14

eISSN1471-2407

DOIhttps://doi.org/10.1186/s12885-021-08542-9

Verkko-osoitehttps://bmccancer.biomedcentral.com/articles/10.1186/s12885-021-08542-9

Rinnakkaistallenteen osoitehttps://research.utu.fi/converis/portal/detail/Publication/68088160


Tiivistelmä

Background

Virtual reality (VR) enables data visualization in an immersive and engaging manner, and it can be used for creating ways to explore scientific data. Here, we use VR for visualization of 3D histology data, creating a novel interface for digital pathology to aid cancer research.

Methods

Our contribution includes 3D modeling of a whole organ and embedded objects of interest, fusing the models with associated quantitative features and full resolution serial section patches, and implementing the virtual reality application. Our VR application is multi-scale in nature, covering two object levels representing different ranges of detail, namely organ level and sub-organ level. In addition, the application includes several data layers, including the measured histology image layer and multiple representations of quantitative features computed from the histology.

Results

In our interactive VR application, the user can set visualization properties, select different samples and features, and interact with various objects, which is not possible in the traditional 2D-image view used in digital pathology. In this work, we used whole mouse prostates (organ level) with prostate cancer tumors (sub-organ objects of interest) as example cases, and included quantitative histological features relevant for tumor biology in the VR model.

Conclusions

Our application enables a novel way for exploration of high-resolution, multidimensional data for biomedical research purposes, and can also be used in teaching and researcher training. Due to automated processing of the histology data, our application can be easily adopted to visualize other organs and pathologies from various origins.


Ladattava julkaisu

This is an electronic reprint of the original article.
This reprint may differ from the original in pagination and typographic detail. Please cite the original version.





Last updated on 2024-26-11 at 16:45