By David Sarment
Written for the clinician, Cone Beam Computed Tomography helps the reader know the way CBCT machines function, practice complicated analysis utilizing CT information, have a operating wisdom of CBCT-related remedy making plans for particular scientific projects, and combine those new applied sciences in day-by-day practice.
This complete textual content lays the basis of CBCT applied sciences, explains tips to interpret the information, realize major pathologies, and make the most of CBCT for analysis, remedy making plans, and execution. Dr. Sarment first addresses expertise and ideas, radiobiologic dangers, and CBCT for head and neck anatomy. the majority of the textual content discusses prognosis of pathologies and makes use of of CBCT know-how in maxillofacial surgical making plans, orthodontic and orthognathic making plans, implant surgical web site coaching, CAD/CAM surgical tips, surgical navigation, endodontics airway measurements, and periodontal disease.
Chapter 1 expertise and rules of Cone Beam Computed Tomography (pages 1–24): Matthew W. Jacobson
Chapter 2 the character of Ionizing Radiation and the dangers from Maxillofacial Cone Beam Computed Tomography (pages 25–41): Sanjay M. Mallya and Stuart C. White
Chapter three prognosis of Jaw Pathologies utilizing Cone Beam Computed Tomography (pages 43–64): Sharon L. Brooks
Chapter four prognosis of Sinus Pathologies utilizing Cone Beam Computed Tomography (pages 65–90): Aaron Miracle and Christian Güldner
Chapter five Orthodontic and Orthognathic making plans utilizing Cone Beam Computed Tomography (pages 91–107): Lucia H. S. Cevidanes, Martin Styner, Beatriz Paniagua and João Roberto Gonçalves
Chapter 6 Three‐Dimensional making plans in Maxillofacial Reconstruction of enormous Defects utilizing Cone Beam Computed Tomography (pages 109–125): Rutger Schepers, Gerry M. Raghoebar, Lars U. Lahoda, Harry Reintsema, Arjan Vissink and Max J. Witjes
Chapter 7 Implant making plans utilizing Cone Beam Computed Tomography (pages 127–145): David Sarment
Chapter eight CAD/CAM Surgical advice utilizing Cone Beam Computed Tomography (pages 147–196): George A. Mandelaris and Alan L. Rosenfeld
Chapter nine review of the Airway and assisting buildings utilizing Cone Beam Computed Tomography (pages 197–209): David C. Hatcher
Chapter 10 Endodontics utilizing Cone Beam Computed Tomography (pages 211–247): Martin D. Levin
Chapter eleven Periodontal illness analysis utilizing Cone Beam Computed Tomography (pages 249–269): Bart Vandenberghe and David Sarment
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Extra resources for Cone Beam Computed Tomography: Oral and Maxillofacial Diagnosis and Applications
2 mSv. Half of this is from background sources and half from man-made sources. The relative contributions of the various sources are shown in the pie chart. Note that diagnostic imaging contributes a large proportion of the total exposure. Data derived from NCRP, 2009. 34 Cone Beam Computed Tomography radiation. Other natural sources include space radiation (cosmic rays and solar energetic particles), terrestrial radiation from radioactive elements in rocks and soil, and internal radiation from radionuclides that are ingested through food and water or inhaled through air.
2000). Penalized weighted least-squares as a metal streak artifacts removal technique in computed tomography. Proc IEEE Nuc Sci Symp Med Im Conf. K. (1983). An inversion formula for cone-beam reconstruction. SIAM J Appl Math 43(3): 546–52. , et al. (2007). Current and next generation GPUs for accelerating CT reconstruction: Quality, performance, and tuning. Proc Intl Mtg on Fully 3D Image Recon in Rad and Nuc Med. Wu, M. A. (1991). ASIC applications in computed tomography systems. Fourth Annual IEEE International ASIC Conference and Exhibit.
When scanning very bony anatomy, for example in dental or skull base imaging, very strong streak artifacts can be present. Artifacts can also be a sign that a CT system is in need of maintenance. Strong ring artifacts can appear when the system is in need of recalibration, for instance. Finally, as practitioners expand their use of compact CT to low-contrast soft tissue imaging applications, the influence of artifacts becomes more noticeable in the less forgiving low-contrast viewing windows. Means of suppressing artifacts will be important to extending compact CT to these applications.