Back to Search
Start Over
Investigation of new psychophysical measures for evaluation of similar images on thoracic computed tomography for distinction between benign and malignant nodules
- Source :
- Medical Physics. 30:2584-2593
- Publication Year :
- 2003
- Publisher :
- Wiley, 2003.
-
Abstract
- We have been developing a computerized scheme to assist radiologists in improving the diagnostic accuracy for lung cancers on low-dose computed tomography (LDCT) scans by use of similar images for malignant nodules and benign nodules. A database of 415 LDCT scans including 73 cases with 76 confirmed cancers and 342 cases with 413 confirmed benign nodules was first collected in an LDCT screening program for early detection of lung cancers in Nagano, Japan. An observer study by use of receiver operating characteristics analysis was first conducted with five radiologists to demonstrate that presenting similar images for malignant nodules and benign nodules can significantly improve radiologists' performance in the diagnosis of unknown nodules. Another observer study was then conducted for obtaining reliable data on subjective similarity ratings by 10 radiologists. Based on the subjective similarity ratings, three important features were selected from a number of nodule features, and four different techniques for the determination of similarity measures, namely, a feature-based technique, a pixel-value-difference based technique, a cross-correlation-based technique, and a neural-network-based technique, were investigated and evaluated in terms of the correlation coefficient with the subjective similarity ratings. The experimental results in this study indicated that the neural-network-based technique can provide a reliable psychophysical similarity measure which is comparable to the subjective similarity ratings for a single radiologist when evaluated by use of correlation with the average similarity ratings for the other nine radiologists.
- Subjects :
- medicine.medical_specialty
Lung Neoplasms
Radiography
Similarity measure
Similarity (network science)
Image Processing, Computer-Assisted
medicine
Medical imaging
Humans
Computed radiography
Lung
Neurons
Observer Variation
Models, Statistical
Receiver operating characteristic
business.industry
Nodule (medicine)
General Medicine
Thoracic Neoplasms
ROC Curve
Feature (computer vision)
Radiography, Thoracic
Radiology
medicine.symptom
Tomography, X-Ray Computed
business
Mobile Health Units
Subjects
Details
- ISSN :
- 00942405
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Medical Physics
- Accession number :
- edsair.doi.dedup.....de348c942ba2e7c23cbae55449dfbe83