How you view a clinical image-be it head-on or from an angle--could determine whether you find an abnormality.
How you view a clinical image--be it head-on or from an angle-could determine whether you find an abnormality.
"The detectability of an abnormality depends on the angle at which you are viewing the display," said Aldo Badano, visiting scientist with the division of imaging and applied mathematics at the FDA's office of science and engineering laboratories.
At the 2005 RSNA meeting, Badano illustrated how grayscale levels are displayed differently when viewed from various angles. With some radiology viewing stations incorporating two, four, and even six displays, the viewing angle becomes even larger, exacerbating the problem, he said.
"When images are viewed along certain directions the contrast is completely washed out," he said.
Badano and colleagues conducted a human observer study in which 11 trained participants viewed a total of 350 synthetic image pairs. Observers viewed the images at zero, 30-, and 45-degree angles from a 5-megapixel monochrome LCD monitor. Researchers then added Gaussian signals to the images at 4, 8, and 12 gray level signal amplitudes.
At the perpendicular angle (the zero-degree angle) and at a signal amplitude of four gray levels, readers correctly identified the target object 80% of the time. At a 30-degree angle, accuracy dropped to 62% and at 45 degrees, readers were basically guessing, identifying the target about 50 percent of the time, Badano said.
However, by increasing the Gaussian signal to 8 gray levels, accuracy at the 30 degree angle could be improved to nearly 80%. At the 45-degree angle, Gaussian signal levels needed to be increased 3 times the base level to achieve a similar improvement in detection, Badano said.
Not only did performance decrease as the viewing angle moved away from normal, Badano said, but the time needed to make a decision increased. Readers took from twice as long to seven times as long to record their decisions when they viewed the images at angles greater than zero.
Manufacturers can address this problem in a number of ways, Badano said, but at this point radiologists need to know how to better measure and characterize these effects.
Study Reaffirms Low Risk for csPCa with Biopsy Omission After Negative Prostate MRI
December 19th 2024In a new study involving nearly 600 biopsy-naïve men, researchers found that only 4 percent of those with negative prostate MRI had clinically significant prostate cancer after three years of active monitoring.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
Can Radiomics Bolster Low-Dose CT Prognostic Assessment for High-Risk Lung Adenocarcinoma?
December 16th 2024A CT-based radiomic model offered over 10 percent higher specificity and positive predictive value for high-risk lung adenocarcinoma in comparison to a radiographic model, according to external validation testing in a recent study.