Abstract
We apply task-based assessment of image quality to optical tomography imaging systems. In particular, we studied the task of detecting a signal, specified as a change in scattering and absorption coefficients, when its shape and location were known. The detectability was quantified using the optimal linear (Hotelling) observer. The non-linearity of the problem was no impediment in computing the Hotelling observer using a hybrid approach that combines knowledge of the measurement statistics with sampling to account for anatomical variation. We compared the observer performance on the raw data in uniform and structured backgrounds for several data and signal types. Two of the data types studied were the total number of photons (total counts) collected for each source-detector pair and their respective mean time of arrival. Results show that the spatial variation of detectability was different for the total counts than for the mean time. The performance of the total counts and its relative performance to the mean time varied significantly with both signal type and background variations.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 77-83 |
| Number of pages | 7 |
| Journal | Proceedings of SPIE - The International Society for Optical Engineering |
| Volume | 3977 |
| DOIs | |
| State | Published - 2000 |
| Event | Medical Imaging 2000: Physics of Medical Imaging - San Diego, CA, USA Duration: Feb 13 2000 → Feb 15 2000 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering