Numerical model observers in medical image quality assessment
Today, numerical model observers are increasingly used to assist or substitute medical specialists in evaluation of the quality of medical imaging systems. In particular, the model known as channelized Hotelling observer (CHO) is recognized to approximate human observer performance reasonably well. The model relies on the property of human visual system to process visual information through frequency selective channels. Nevertheless, the results reported in the literature mainly concern planar rather than volumetric image sets. Following the trends of rapidly emerging 3D imaging technologies in current clinical practice, we work to extend the concept of CHO from planar to volumetric imaging.
|Demonstration of steerable channels for assessing medical image quality.
In our recent work, we investigate the optimal detection of asymmetrical signals with statistically known random orientation, based on joint detection and estimation theory. We derive the optimal channelized observer for this task and we show that the optimal detection in channel space requires the use of steerable channels, which are used in steerable pyramid transforms in image processing.
This work was performed in the context of the iMinds-MEVIC project.
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