Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

Journal: World neurosurgery

Published Date: Apr 1, 2021

Abstract

BACKGROUND: No large dataset-derived standard has been established for normal or pathologic human cerebral ventricular and cranial vault volumes. Automated volumetric measurements could be used to assist in diagnosis and follow-up of hydrocephalus or craniofacial syndromes. In this work, we use deep learning algorithms to measure ventricular and cranial vault volumes in a large dataset of head computed tomography (CT) scans.

Authors

Georgios A Maragkos

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Aristotelis S Filippidis

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Sasank Chilamkurthy

Qure.ai, Goregaon East, Mumbai, India. Electronic address: sasank.chilamkurthy@qure.ai.
Mohamed M Salem

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Swetha Tanamala

Qure.ai, Goregaon East, Mumbai, India.
Santiago Gomez-Paz

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Pooja Rao

Qure.ai, Mumbai, India.
Justin M Moore

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Efstathios Papavassiliou

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
David Hackney

Radiology Department, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA.
Ajith J Thomas

Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: athomas6@bidmc.harvard.edu.

Keywords

Adolescent Adult Aged Aged, 80 and over Algorithms Atrophy Brain Cephalometry Child Child, Preschool Cross-Sectional Studies Datasets as Topic Deep Learning Female Humans Hydrocephalus Lateral Ventricles Male Middle Aged Models, Biological Natural Language Processing Neuroimaging Retrospective Studies Skull Tomography, X-Ray Computed Young Adult

External Resources

View on PubMed Access via DOI PubMed (33421645)

Automated Lateral Ventricular and Cranial Vault Volume Measurements in 13,851 Patients Using Deep Learning Algorithms.

Abstract

Authors

Keywords

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