The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery

Shao-Lun Lu; Heng-Chun Liao; Feng-Ming Hsu; Chun-Chih Liao; Feipei Lai; Furen Xiao

doi:10.1016/j.neuroimage.2021.118585

The intracranial tumor segmentation challenge: Contour tumors on brain MRI for radiosurgery

Neuroimage. 2021 Dec 1:244:118585. doi: 10.1016/j.neuroimage.2021.118585. Epub 2021 Sep 21.

Authors

Shao-Lun Lu¹, Heng-Chun Liao², Feng-Ming Hsu¹, Chun-Chih Liao³, Feipei Lai⁴, Furen Xiao⁵

Affiliations

¹ Department of Oncology, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Taipei, Zhongzheng 100225, Taiwan.
² School of Medicine, National Taiwan University, No.1 Jen Ai road section 1, Taipei 100, Taiwan.
³ Department of Neurosurgery, Taipei Hospital, Ministry of Health and Welfare, No.127, Su-Yuan Road, New Taipei, Hsin-Chuang 242-13, Taiwan.
⁴ Department of Computer Science & Information Engineering, National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei 10617, Taiwan.
⁵ Department of Neurosurgery, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Taipei, Zhongzheng 100225, Taiwan. Electronic address: xiao@ntuh.gov.tw.

PMID: 34560272
DOI: 10.1016/j.neuroimage.2021.118585

Abstract

We report the set-up of the Intracranial Tumor Segmentation (ICTS) dataset. This dataset was retrieved from clinical work of radiosurgery, contoured by qualified neurosurgeons and radiation oncologists. It contains contrast-enhanced T1-weighted images of 1500 patients, together with the labels of tumors to be treated. The ICTS image data and manual annotations continue to be publicly available through an online evaluation system as an ongoing benchmarking resource.

Keywords: Benchmark; Brain; Image segmentation; MRI; Oncology/tumor.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Benchmarking
Brain / diagnostic imaging*
Brain Neoplasms / diagnostic imaging*
Brain Neoplasms / radiotherapy
Datasets as Topic
Humans
Image Enhancement
Magnetic Resonance Imaging / methods*
Neuroimaging
Online Systems
Radiosurgery*