CLiP, catheter and line position dataset

Jennifer S N Tang; Jarrel C Y Seah; Adil Zia; Jay Gajera; Richard N Schlegel; Aaron J N Wong; Dayu Gai; Shu Su; Tony Bose; Marcus L Kok; Alex Jarema; George N Harisis; Chris-Tin Cheng; Helen Kavnoudias; Wayland Wang; Anouk Stein; George Shih; Frank Gaillard; Andrew Dixon; Meng Law

doi:10.1038/s41597-021-01066-8

CLiP, catheter and line position dataset

Sci Data. 2021 Oct 28;8(1):285. doi: 10.1038/s41597-021-01066-8.

Authors

Jennifer S N Tang^#¹, Jarrel C Y Seah^#², Adil Zia³, Jay Gajera⁴, Richard N Schlegel⁴, Aaron J N Wong^{5

6}, Dayu Gai⁷, Shu Su⁷, Tony Bose⁸, Marcus L Kok⁹, Alex Jarema³, George N Harisis³, Chris-Tin Cheng⁶, Helen Kavnoudias^{3

10}, Wayland Wang⁷, Anouk Stein¹¹, George Shih¹², Frank Gaillard^{7

13}, Andrew Dixon³, Meng Law^{3

14

15

16}

Affiliations

¹ Department of Radiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia. Jennifer.Tang@mh.org.au.
² Department of Radiology, Alfred Health, Melbourne, Victoria, Australia. J.Seah@alfred.org.au.
³ Department of Radiology, Alfred Health, Melbourne, Victoria, Australia.
⁴ Alfred Health, Melbourne, Victoria, Australia.
⁵ Department of Radiology, Monash Health, Melbourne, Victoria, Australia.
⁶ Barwon Imaging, Geelong, Victoria, Australia.
⁷ Department of Radiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
⁸ The Royal Melbourne Hospital, Melbourne, Victoria, Australia.
⁹ Eastern Health, Box Hill, Victoria, Australia.
¹⁰ Department of Surgery, Monash School of Medicine, Nursing and Health Sciences, Clayton, Victoria, Australia.
¹¹ MD.ai, New York, New York, USA.
¹² Department of Radiology, Weill Cornell Medicine, New York, USA.
¹³ Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Melbourne, Victoria, Australia.
¹⁴ Department of Electrical and Computer Systems Engineering, Monash University, Clayton, Victoria, Australia.
¹⁵ Department of Neuroscience, Monash School of Medicine, Nursing and Health Sciences, Clayton, Victoria, Australia.
¹⁶ Departments of Neurological Surgery and Biomedical Engineering, University of Southern California, Los Angeles, USA.

^# Contributed equally.

Abstract

Correct catheter position is crucial to ensuring appropriate function of the catheter and avoid complications. This paper describes a dataset consisting of 50,612 image level and 17,999 manually labelled annotations from 30,083 chest radiographs from the publicly available NIH ChestXRay14 dataset with manually annotated and segmented endotracheal tubes (ETT), nasoenteric tubes (NET) and central venous catheters (CVCs).

Publication types

Dataset

MeSH terms

Catheterization*
Catheters
Central Venous Catheters
Humans
Intubation, Gastrointestinal
Intubation, Intratracheal
Radiography, Thoracic*
Thorax / diagnostic imaging*