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- Tanveer, M. K., et al.
(author)
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Prevalence and chemo-therapeutical investigations of gastrointestinal nematodes in domestic pigeons in Lahore, Pakistan
- 2011
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In: Tropical Biomedicine. - 0127-5720. ; 28:1, s. 102-110
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Journal article (peer-reviewed)abstract
- The prevalence of gastrointestinal nematodes was studied in 143 (80 male and 63 female) domestic pigeons. Faecal samples were collected to determine the gastrointestinal nematodes of domestic pigeons through qualitative and quantitative faecal examinations. A total of 48 (male 33 and 25 female) naturally infected domestic pigeons were divided into G(1) (albendzdole) and G(2) (fenbendazole) treatment-groups along with one control group (C). The overall prevalence of gastrointestinal nematodes was 40.5% (58/143) in domestic pigeons. Likewise, the prevalence of gastrointestinal nematodes in males and females was found 41.3% (33/58) and 39.7% (25/58) respectively. The overall prevalence of Capillaria obsignata and Ascaridia columbae was found to be 67.2% and 32.8%, respectively. The prevalence of C. obsignata and A. columbae in males was 72.7% (24/33) and 27.8% (9/33) and in females was 60% (15/25) and 40% (10/25), respectively. There was no significant sex related difference seen in the prevalence of C. obsignata (p>0.56) and A. columbae (p>0.40) in domestic pigeons, respectively. The overall efficacy of albendazole and fenbendazole was calculated to be 66% and 71%. A remarkable significant difference (p<0.05) was observed in eggs per gram before and after treatment in both G(1) and G(2) treated-groups. The efficacy of fenbendazole was found to be more significant (p<0.02) than albendazole.
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| 2. |
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| 3. |
- Magnusson, Maria, et al.
(author)
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Iterative Reconstruction for QuantitativeTissue Decomposition in Dual-Energy CT
- 2011
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In: Proceedings of the 17th Scandinavian Conference, SCIA 2011, Ystad, Sweden, May 2011.. - Berlin, Heidelberg : Springer Berlin/Heidelberg. - 9783642212260 - 9783642212277 ; , s. 479-488
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Conference paper (peer-reviewed)abstract
- Quantitative tissue classification using dual-energy CT has the potential to improve accuracy in radiation therapy dose planning as it provides more information about material composition of scanned objects than the currently used methods based on single-energy CT. One problem that hinders successful application of both single-and dualenergy CT is the presence of beam hardening and scatter artifacts in reconstructed data. Current pre-and post-correction methods used for image reconstruction often bias CT numbers and thus limit their applicability for quantitative tissue classification. Here we demonstrate simulation studies with a novel iterative algorithm that decomposes every soft tissue voxel into three base materials: water, protein and adipose. The results demonstrate that beam hardening artifacts can effectively be removed and accurate estimation of mass fractions of all base materials can be achieved. In the future, the algorithm may be developed further to include segmentation of soft and bone tissue and subsequent bone decomposition, extension from 2-D to 3-D and scatter correction.
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