Cone Beam CT PDF
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Mohd Hafizi Mahmud
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This presentation provides an overview of cone-beam computed tomography (CBCT), focusing on its principles, image acquisition, detectors, and reconstruction techniques. The document details aspects of the technology and its use in dental and maxillofacial imaging.
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CONE BEAM CT Mohd Hafizi Mahmud CT Physics and Instrumentation MRD530 Limitations of 2D Dental Imaging Inability to observe cross-section changes Geometric distortion Overlapping of the disease process with neighboring, dense anatomical structures -...
CONE BEAM CT Mohd Hafizi Mahmud CT Physics and Instrumentation MRD530 Limitations of 2D Dental Imaging Inability to observe cross-section changes Geometric distortion Overlapping of the disease process with neighboring, dense anatomical structures - Intra-oral anatomical noise OPG Role of CBCT in Dental and Maxillofacial Imaging CBCT involves 3D acquisition providing volumetric and multi-planar display leading to accurate representation: Lesional extent Involvement of adjacent anatomic structures Lesional borders Internal lesional details Presence and degree of root resorption, particularly on the buccal or lingual/palatal aspects of the lesion or tooth, respectively Principle of CBCT CBCT uses rotating gantry to which an X-ray source and detector are fixed. A divergent pyramidal- or cone-shaped source of ionizing radiation is directed through the middle of the area of interest onto an area X-ray detector on the opposite side. The X-ray source and detector rotate around a fixed fulcrum within the region of interest (ROI). During the exposure sequence hundreds of sequential planar projection images are acquired of the field of view (FOV) in an arc generally of at least 180°. In this single rotation, CBCT provides precise, essentially immediate and accurate three- dimensional (3D) radiographic image volumes. As CBCT exposure incorporates the entire FOV, only one rotational sequence of the gantry is necessary to acquire enough data for image reconstruction. Principle of CBCT - Cone Beam Acquisition With 2D X-ray area detectors and cone-beam geometry, a 3D volume must be reconstructed from 2D projection data –referred to as cone beam reconstruction. Most common cone beam reconstruction - FDK (Feldkamp-Davis-Kress) algorithm, employs a convolution-back projection method. Cone beam acquisition uses a beam geometry providing multiple transmission images that are integrated directly forming volumetric information Development of Maxillofacial CBCT Systems CBCT : Hamamatsu Photonics K.K (Hamamatsu City, Japan), Varian Medical Systems (Salt Lake City Utah, USA), and Samsung (Seoul, South Korea). X-ray generators used in maxillofacial CBCT machines are far simpler than those in MDCT with an operating voltage between 80 kVp and 120 kVp. Focal spot size is no different than MDCT (0.5–0.8 mm nominally), unlike MDCT the anode is stationary in most systems CBCT Prototype (2003) - DentoCAT CBCT Models CBCT Image Production *Most CBCT models use rectangular collimation, resulting in a pyramid- shaped beam Projection Geometry Image acquisition is performed through a single partial (≥180°) or full (360°) rotational scan of an X-ray source and a reciprocating 2D flat detector array. The axis of rotation of this configuration is centered at a certain region of interest (ROI) within the patient’s head. Throughout the rotation, divergent pyramidal or cone-shaped beam of X-rays is directed towards the detector on the opposite side, with the field of view (FOV) being determined by the physical collimation applied from a slightly different horizontal angle. These image projections constitute the raw data and are individually referred to as basis, frame, projection, or raw images. Because X-ray beam projections incorporate the entire FOV, only one rotational sequence (or, at the very least, half a rotation) of the gantry is necessary. Cone beam CBCT vs Fan beam MDCT IMAGE DETECTOR Image intensifier (II) - The attenuated X-ray beam is converted into electrons. These electrons are then amplified before being reconverted into photons, which are recorded using a charge-coupled device (CCD). - Prone to geometric distortion - Currently, few CBCT units incorporate II detectors Flat panel detectors (FPD) 1. Indirect FPD system Use scintillator which converts X-ray radiation into visible light and a photon detector which converts light into an electrical signal, which can then be digitized. 2. Direct FPD system The most recent technology Comprise an amorphous selenium (a-Se), cadmium telluride (CdTe), or cadmium zinc telluride (CdZnTe) photoconductor, which converts X-ray photons into an electrical charge, directly connected to a TFT or CMOS Images from direct detector systems are inherently less unsharp than those from indirect detector systems IMAGE RECONSTRUCTION Each projection image consists of a pixel matrix with a 12- to 16-bit value (proportionate to the detected X-ray intensity) assigned to each pixel. This data is then reconstructed into a 3D volumetric dataset composed of cubical volume elements (voxels) by a sequence of software algorithms. The most widely used reconstruction algorithm in CBCT is the Feldkamp (FDK) algorithm, which is a modified filtered back- projection (FBP) method CBCT VS MDCT Similarities and differences between CBCT & MDCT Similarities and differences between CBCT & MDCT CBCT Configurations Field of View (FOV) Volume Acquisitions CBCT units can be assigned into four broad categories based on the vertical and horizontal dimensions of the FOV : Large (Maxillofacial) Covers most of the craniofacial skeleton, at least from below the hard tissue of the chin to the nasion. Usually greater than 15 cm in any dimension. Dentoalveolar (both jaws) Usually 8 cm or more in diameter and height. Single jaw/dual TMJ Can cover a single full jaw (excl. ramus for mandibular scans) or both temporomandibular joints. Wide in diameter (≥ 10 cm, or ≥ 14 cm if used for TMJs) but small in height (4–6 cm). Small (localized) As small as 3 cm in any dimension, covering localized regions such as 2– 4 teeth and surrounding alveolus or a single temporomandibular joint. Projection Images The number of projections acquired during a CBCT scan is determined by the frame rate (number of projections acquired per second), the extent of the rotation arc (180°–360°), and the speed of the rotation. Exposure time (s) In CBCT, the exposure time is proportionate to the number of acquired projections. CBCT using pulsed exposure have a lower exposure time for a given number of projections than those with continuous exposure. Frame Rate Higher frame rates allow for shorter scan time, which can lead to images with less artifacts and better image quality. High frame rates require detectors with pixels sensitive enough to reach an adequate signal-to- noise ratio (SNR) during a short time frame. In CBCT, the number of projections typically ranges between 150 and 1000. While the use of few projections results in aliasing artifacts due to under-sampling. An increased number of projections provides more information to reconstruct the image, resulting in a decreased image noise. An increased number of projections would therefore allow the image to be reconstructed at a smaller voxel size while keeping noise at a reasonable level, effectively increasing spatial resolution. Exposure Panel Multi-planar reformation (MPR) Casto et al (2014) End of slide Thank you