The transparent minds: methods of creation of 3D digital models from patient specific data

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F22%3A00125167" target="_blank" >RIV/00216224:14330/22:00125167 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1080/17453054.2021.2008230" target="_blank" >https://doi.org/10.1080/17453054.2021.2008230</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1080/17453054.2021.2008230" target="_blank" >10.1080/17453054.2021.2008230</a>

Result language

angličtina

Original language name

The transparent minds: methods of creation of 3D digital models from patient specific data

Original language description

This paper focuses on the method for creating 3-dimensional (3D) digital models extracted from patient- specific scans of the brain. The described approach consists of several cross-platform stages: raw data segmentation, data correction in 3D-modelling software, post-processing of the 3D digital models and their presentation on an interactive web-based platform. This method of data presentation offers a cost and time effective option to present medical data accurately. An important aspect of the process is using real patient data and enriching the traditional slice-based representation of the scans with 3D models that can provide better understanding of the organs’ structures. The resulting 3D digital models also form the basis for further processing into different modalities, for example models in Virtual Reality or 3D physical model printouts. The option to make medical data less abstract and more understandable can extend their use beyond diagnosis and into a potential aid in anatomy and patient education. The methods presented in this paper were originally based on the master thesis ‘Transparent Minds: Testing for Efficiency of Transparency in 3D Physical and 3D Digital Models’, which focussed on creating and comparing the efficiency of transparent 3D physical and 3D digital models from real-patient data.

Czech name

—

Czech description

—

Type

J_imp - Article in a specialist periodical, which is included in the Web of Science database

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2022

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Name of the periodical

Journal of Visual Communication in Medicine

ISSN

1745-3054

e-ISSN

1745-3062

Volume of the periodical

45

Issue of the periodical within the volume

2

Country of publishing house

GB - UNITED KINGDOM

Number of pages

15

Pages from-to

17-31

UT code for WoS article

000741808700001

EID of the result in the Scopus database

2-s2.0-85122794117