Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation

Michael A. Masoomi; Latifah Al-Kandari; Iman Al-Shammeri

doi:10.1136/bcr-2020-241060

Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation

Michael A. Masoomi, Latifah Al-Kandari, Iman Al-Shammeri

Ministry of Health

Research output: Contribution to journal › Comment/debate

1 Scopus citations

Original language	English
Article number	241060
Journal	BMJ Case Reports
Volume	14
Issue number	1
DOIs	https://doi.org/10.1136/bcr-2020-241060
State	Published - 29 Jan 2021

Funding Agency

Kuwait Foundation for the Advancement of Sciences

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1136/bcr-2020-241060

Cite this

@article{89036fcdcdc946a686e940dab8025048,

title = "Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation",

author = "Masoomi, \{Michael A.\} and Latifah Al-Kandari and Iman Al-Shammeri",

note = "Funding Information: Funding This study was funded by Kuwait Foundation for the Advancement of Sciences PN20-13NR-01.",

year = "2021",

month = jan,

day = "29",

doi = "10.1136/bcr-2020-241060",

language = "English",

volume = "14",

journal = "BMJ Case Reports",

issn = "1757-790X",

publisher = "BMJ Publishing Group",

number = "1",

}

TY - JOUR

T1 - Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation

AU - Masoomi, Michael A.

AU - Al-Kandari, Latifah

AU - Al-Shammeri, Iman

N1 - Funding Information: Funding This study was funded by Kuwait Foundation for the Advancement of Sciences PN20-13NR-01.

PY - 2021/1/29

Y1 - 2021/1/29

UR - https://www.scopus.com/pages/publications/85100565000

U2 - 10.1136/bcr-2020-241060

DO - 10.1136/bcr-2020-241060

M3 - Comment/debate

C2 - 33514617

AN - SCOPUS:85100565000

SN - 1757-790X

VL - 14

JO - BMJ Case Reports

JF - BMJ Case Reports

IS - 1

M1 - 241060

ER -

Combining 3d rendering model and pixelated quantitative ct for rapid assessment of lung affected with covid-19 and need for oxygenation

Funding Agency

UN SDGs

Access to Document

Other files and links

Cite this