CFP: ISBI2015-GC03: Grand Challenges in Dental X-ray Image Analysis
The Challenges are in Conjunction With the 2015 IEEE International Symposium on Biomedical Imaging (IEEE ISBI-2015).
Challenge Website: http://www-o.ntust.edu.tw/~cweiwang/ISBI2015/index.html
Challenge #1: Automated Detection and Analysis for Diagnosis in Cephalometric X-ray Image
Cephalometric analysis is mandatory, providing the interpretation of patients' bony, dental and soft tissue structures and giving the whole pictures for the orthodontic analysis and treatment plan making. In clinical practice, manual marking is commonly conducted, and the analysis of cephalogram is frequently performed by dentists, orthodontists, and oral and maxillofacial surgeons in treatment planning. However, the procedure of manual marking and analysis of cephalogram is very time consuming and subjective. Automated methods for anatomical landmark detection and identification of anatomical abnormalities could be the solution to facilitate these issues. However, automated anatomical landmark detection of cephalometric x-ray images is challenging. From literature review, in recent 7 years the success rate of automatic landmarks has increased from 71% to only 89.5% with the 2.0 mm precision range, which is the accepted precision range of a landmark in clinical practice. In 2014, we held an automatic cephalometric X-ray landmark detection challenge in ISBI 2014, Beijing, China. 300 cephalometric X-ray images were used in ISBI-2014 challenge, and the best detection result for 19 landmarks can be achieved up to 71.48% using the 2 mm precision range. In this challenge, a larger clinical database is built, and cephalometric x-ray images of 500 patients with ground truth data produced by two experienced medical doctors are collected. In addition, apart from the landmark detection task, a further task in identifying anatomical abnormalities to assist clinical diagnosis using these landmarks is added in this new challenge.
The challenge participating teams will be invited to contribute to a joint journal paper describing and summarizing the challenge outcome, which will be submitted to a high-impact SCI journal in the field.
Challenge #2: Computer-Automated Detection of Caries in Bitewing Radiography
Dental caries is a transmissible bacterial disease of the teeth that would destructs the structure of teeth. The dentist has approached diagnosing and treating dental caries based mostly on radiographs. While dental caries is a disease process, the term is routinely used to describe radiographic radiolucencies. Radiographic examination can improve detection and diagnostic of the earliest sign of dental caries’ demineralization. Automated caries lesion detection technologies provide potential diagnostic data for dental practitioners and assist identifying signs of various diseases. However, accurate and objective methods for radiographic caries diagnosis are poorly explored. Therefore, the aim of this challenge is to investigate possible automated methods for detection of caries in bitewing radiography.
The challenge participating teams will be invited to contribute to a joint journal paper describing and summarizing the challenge outcome, which will be submitted to a high-impact SCI journal in the field.
Important Dates:
November 14, 2014: Training data with ground truth, Test1 data, and evaluation software released.
By February 12, 2015: Submit Test1 Results. Within 48 hours, full details of the method's performance analysis will be sent back to the participant.
February 19, 2015: Submit a paper summarizing the method and evaluation results. February 27, 2015: Acceptance notices will be sent.
April 16 – 19, 2015: On-site Competition with Test2 data (Challenge workshop in association with ISBI 2015)