Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10351231 | Computerized Medical Imaging and Graphics | 2005 | 10 Pages |
Abstract
We tested the algorithm on Monte Carlo data fully simulating the typical YAP-PEM clinical condition. The adopted algorithm gives an excellent positioning capability for hot spots in the camera FOV. To use all of the possible skew LORs in the FOV avoids the software rejection of collected data. Reconstructed images indicate that a 5 mm diameter tumor of 37 kBq/cm3, in an active breast with a 10:1 Tissue to Background ratio (T/B), with a 10 min acquisition, for a head distance of 5 cm, can be detected by the YAP-PEM with a SNR of 8.7±1.0. The obtained SNR values depend linearly on the tumor volume. The algorithm allows one to discriminate between two hot sources of 5.0 mm diameter if they do not lie on the same axis. The YAP-PEM is now in the assembly stage.
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Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
A. Motta, A. Del Guerra, N. Belcari, S. Moehrs, D. Panetta, S. Righi, D. Valentini,