Title :
High Transparency Coded Apertures in Planar Nuclear Medicine Imaging
Author :
Starfield, D.M. ; Rubin, D.M. ; Marwala, T.
Author_Institution :
Univ. of the Witwatersrand, Johannesburg
Abstract :
Coded apertures provide an alternative to the collimators of nuclear medicine imaging, and advances in the field have lessened the artifacts that are associated with the near-field geometry. Thickness of the aperture material, however, results in a decoded image with thickness artifacts, and constrains both image resolution and the available manufacturing techniques. Thus in theory, thin apertures are clearly desirable, but high transparency leads to a loss of contrast in the recorded data. Coupled with the quantization effects of detectors, this leads to significant noise in the decoded image. This noise must be dependent on the bit-depth of the gamma camera. If there are a sufficient number of measurable values, high transparency need not adversely affect the signal-to-noise ratio. This novel hypothesis is tested by means of a ray-tracing computer simulator. The simulation results presented in the paper show that replacing a highly opaque coded aperture with a highly transparent aperture, simulated with an 8-bit gamma camera, worsens the root-mean-square error measurement. However, when simulated with a 16-bit gamma camera, a highly transparent coded aperture significantly reduces both thickness artifacts and the root-mean-square error measurement.
Keywords :
image coding; image denoising; medical image processing; radioisotope imaging; ray tracing; transparency; coded apertures; collimators; decoded image; gamma camera; high transparency apertures; image resolution; nuclear medicine imaging; planar imaging; quantization effects; ray-tracing computer simulator; root-mean-square error measurement; signal-to-noise ratio; Apertures; Cameras; Collimators; Computational modeling; Decoding; Geometry; High-resolution imaging; Image resolution; Manufacturing; Nuclear medicine; Computer Simulation; Gamma Rays; Image Processing, Computer-Assisted; Models, Theoretical; Nuclear Medicine; Phantoms, Imaging; Tomography;
Conference_Titel :
Engineering in Medicine and Biology Society, 2007. EMBS 2007. 29th Annual International Conference of the IEEE
Conference_Location :
Lyon
Print_ISBN :
978-1-4244-0787-3
DOI :
10.1109/IEMBS.2007.4353331