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The 2014 liver ultrasound tracking benchmark
- Source :
- Physics in Medicine and Biology
- Publication Year :
- 2015
- Publisher :
- IOP Publishing, 2015.
-
Abstract
- The Challenge on Liver Ultrasound Tracking (CLUST) was held in conjunction with the MICCAI 2014 conference to enable direct comparison of tracking methods for this application. This paper reports the outcome of this challenge, including setup, methods, results and experiences. The database included 54 2D and 3D sequences of the liver of healthy volunteers and tumor patients under free breathing. Participants had to provide the tracking results of 90% of the data (test set) for pre-defined point-landmarks (healthy volunteers) or for tumor segmentations (patient data). In this paper we compare the best six methods which participated in the challenge. Quantitative evaluation was performed by the organizers with respect to manual annotations. Results of all methods showed a mean tracking error ranging between 1.4 mm and 2.1 mm for 2D points, and between 2.6 mm and 4.6 mm for 3D points. Fusing all automatic results by considering the median tracking results, improved the mean error to 1.2 mm (2D) and 2.5 mm (3D). For all methods, the performance is still not comparable to human inter-rater variability, with a mean tracking error of 0.5-0.6 mm (2D) and 1.2-1.8 mm (3D). The segmentation task was fulfilled only by one participant, resulting in a Dice coefficient ranging from 76.7% to 92.3%. The CLUST database continues to be available and the online leader-board will be updated as an ongoing challenge.
- Subjects :
- Paper
medicine.medical_specialty
respiratory motion
Databases, Factual
Tracking (particle physics)
Liver ultrasound
motion estimation
Imaging, Three-Dimensional
Healthy volunteers
medicine
Image Processing, Computer-Assisted
Humans
Radiology, Nuclear Medicine and imaging
image guidance
Ultrasonography
Radiological and Ultrasound Technology
business.industry
ultrasound
Respiration
Liver Neoplasms
Patient data
tracking
Congresses as Topic
Magnetic Resonance Imaging
image registration
Benchmarking
Liver
Case-Control Studies
Benchmark (computing)
challenge
Radiology
business
Free breathing
Algorithms
Subjects
Details
- Language :
- English
- ISSN :
- 13616560 and 00319155
- Volume :
- 60
- Issue :
- 14
- Database :
- OpenAIRE
- Journal :
- Physics in Medicine and Biology
- Accession number :
- edsair.doi.dedup.....093a46ab37c04b4dbfe2be11d38cc629