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Pharyngeal Airway Assessment in Children with Non-Syndromic Cleft Palate and Cleft Lip and Palate: A CBCT StudyPoole, Mitchell A. January 2021 (has links)
No description available.
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122 |
Suppression of CBCT X-ray Scatter Using Bite Registration (PVS) MaterialKessling, Paul Christopher, II January 2020 (has links)
No description available.
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123 |
Comparative study between digital and conventional radiology in gastrointestinal pathologyCordovez-Stanziola, Rosana January 1992 (has links)
No description available.
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124 |
Local dosimetric modelling of radioactive coronary stentsCorbett, Jean-Francois. January 1999 (has links)
No description available.
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125 |
Multislice perfusion imaging with arterial spin labelling : applications to functional MRIGill, Bradford A. January 1999 (has links)
No description available.
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126 |
Depth doses and photon contamination of electron beams in heterogeneous phantomsWang, Xiaofang, 1957- January 1994 (has links)
No description available.
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127 |
Percent depth doses for diagnostic radiologyBissonnette, Jean-Pierre January 1991 (has links)
No description available.
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128 |
The origin of the "Block effect" which blurs images in positron emission tomography /Tomic, Nada January 2003 (has links)
No description available.
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129 |
Le dosage radioimmunologique de la vasopressine plasmatique et son application à l'étude de la déshydratation et des cycles nycthéméraux chez l'hommeGeorge, Claude January 1977 (has links)
No description available.
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130 |
Signal formulation, segmentation, and lesion volume estimation in magnetic resonance imagesStein, Benjamin Reece 01 January 2001 (has links)
In this dissertation we present a new approach to estimate the volume of ischermic stroke lesions using magnetic resonance imagery (MRI). The approach is hierarchical, regularized, and guided by statistical theory, resulting in a confidence map for the lesion itself and a confidence interval for the lesion volume. We test the procedure on synthetic data and real MRI, with estimates to within 6% of the volumes from physicians' hand segmentations. These results compare favorably to those from other Bayesian-based methods. Also, we present a formulation of the free induction decay signal for several MR pulse sequences, which allow for the classification of distinct tissue types in MRI.
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