ROCView has been developed as an image display and response capture (IDRC) solution to image display and consistent recording of reader responses in relation to the free-response receiver operating characteristic paradigm. A web-based solution to IDRC for observer response studies allows observations to be completed from any location, assuming that display performance and viewing conditions are consistent with the study being completed. The simplistic functionality of the software allows observations to be completed without supervision. ROCView can display images from multiple modalities, in a randomised order if required. Following registration, observers are prompted to begin their image evaluation. All data are recorded via mouse clicks, one to localise (mark) and one to score confidence (rate) using either an ordinal or continuous rating scale. Up to nine "mark-rating" pairs can be made per image. Unmarked images are given a default score of zero. Upon completion of the study, both true-positive and false-positive reports can be downloaded and adapted for analysis. ROCView has the potential to be a useful tool in the assessment of modality performance difference for a range of imaging methods.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3487065 | PMC |
http://dx.doi.org/10.1259/bjr/99497945 | DOI Listing |
Nihon Hoshasen Gijutsu Gakkai Zasshi
December 2024
Division of Central Radiology, Nara Medical University Hospital.
Kiken-yochi Training (KYT) has been introduced in many hospitals as medical safety education in many departments, with the exception of radiology. KYT is also not used in the contents of medical safety lectures in the education of students for radiological technologists. One of the reasons for this is that the images for KYT (KYT images) cannot be created at each hospital or easily obtained on the website.
View Article and Find Full Text PDFBioengineering (Basel)
November 2024
VUNO Inc., Seoul 06541, Republic of Korea.
This paper aims to provide a structured analysis of the performance metrics used in computer-aided detection (CAD) systems, specifically focusing on lung nodule detection in computed tomography (CT) images. By examining key metrics along with their respective strengths and limitations, this study offers guidelines to assist in selecting appropriate metrics. Evaluation methods for CAD systems for lung nodule detection are primarily categorized into per-scan and per-nodule approaches.
View Article and Find Full Text PDFAcad Radiol
November 2024
Qure.ai Technologies Pvt. Ltd., Floor 6, Wing E, Times Square, Mumbai, Maharashtra, India, 400059 (B.K.).
Diagnostics (Basel)
October 2024
Siemens Healthineers Ltd., Seoul 06620, Republic of Korea.
Acta Radiol
November 2024
Department of Radiology, Mayo Clinic, Rochester, MN, USA.
Background: SynthesiZed Improved Resolution and Concurrent nOise reductioN (ZIRCON) is a multi-kernel synthesis method that creates a single series of thin-slice computed tomography (CT) images displaying low noise and high spatial resolution, increasing reader efficiency and minimizing partial volume averaging.
Purpose: To compare the diagnostic performance of a single set of ZIRCON images to two routine clinical image series using conventional CT head and bone reconstruction kernels for diagnosing intracranial findings and fractures in patients with trauma or suspected acute neurologic deficit.
Material And Methods: In total, 50 patients underwent clinically indicated head CT in the ER (15 normal, 35 abnormal cases).
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!