Fitting Room: Lung Transplantation Donor-Recipient Size-matching in Virtual Reality

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F24%3A10483019" target="_blank" >RIV/00064203:_____/24:10483019 - isvavai.cz</a>

Result on the web

<a href="https://doi.org/10.1145/3641234.3671048" target="_blank" >https://doi.org/10.1145/3641234.3671048</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1145/3641234.3671048" target="_blank" >10.1145/3641234.3671048</a>

Result language

angličtina

Original language name

Fitting Room: Lung Transplantation Donor-Recipient Size-matching in Virtual Reality

Original language description

Lung transplantation (LTX), a critical treatment for end-stage lung diseases, often faces challenges in size-matching between donors and recipients. Accurate size-matching is crucial to enhance lung function and reduce complications. Despite advanced imaging techniques like chest X-rays, CT scans, and lung volume models, size-matching remains difficult, especially in patients with restrictive and obstructive diseases.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

30212 - Surgery

Project

—

Continuities

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Publication year

2024

Confidentiality

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

Article name in the collection

Proceedings - SIGGRAPH 2024 Posters

ISBN

979-8-4007-0516-8

ISSN

—

e-ISSN

—

Number of pages

1

Pages from-to

"ART27"

Publisher name

Association for Computing Machinery

Place of publication

New York

Event location

Denver

Event date

Jul 27, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001288427800026