scholarly journals Mutual Information-Based Non-Local Total Variation Denoiser for Low-Dose Cone-Beam Computed Tomography

2021 ◽  
Vol 11 ◽  
Author(s):  
Ho Lee ◽  
Jiwon Sung ◽  
Yeonho Choi ◽  
Jun Won Kim ◽  
Ik Jae Lee

Conventional non-local total variation (NLTV) approaches use the weight of a non-local means (NLM) filter, which degrades performance in low-dose cone-beam computed tomography (CBCT) images generated with a low milliampere-seconds (mAs) parameter value because a local patch used to determine the pixel weights comprises noisy-damaged pixels that reduce the similarity between corresponding patches. In this paper, we propose a novel type of NLTV based on a combination of mutual information (MI): MI-NLTV. It is based on a statistical measure for a similarity calculation between the corresponding bins of non-local patches vs. a reference patch. The weight is determined in terms of a statistical measure comprising the MI value between corresponding non-local patches and the reference-patch entropy. The MI-NLTV denoising process is applied to CBCT images generated by the analytical reconstruction algorithm using a ray-driven backprojector (RDB). The MI-NLTV objective function is minimized based on the steepest gradient descent optimization to augment the difference between a real structure and noise, cleaning noisy pixels without significant loss of the fine structure and details that remain in the reconstructed images. The proposed method was evaluated using patient data and actual phantom measurement data acquired with lower mAs. The results show that integrating the RDB further enhances the MI-NLTV denoising-based analytical reconstruction algorithm to achieve a higher CBCT image quality when compared with those generated by NLTV denoising-based approach, with an average of 15.97% higher contrast-to-noise ratio, 2.67% lower root mean square error, 0.12% lower spatial non-uniformity, 1.14% higher correlation, and an average of 18.11% higher detectability index. These quantitative results indicate that the incorporation of MI makes the NLTV more stable and robust than the conventional NLM filter for low-dose CBCT imaging. In addition, achieving clinically acceptable CBCT image quality despite low-mAs projection acquisition can reduce the burden on common online CBCT imaging, improving patient safety throughout the course of radiotherapy.

2018 ◽  
Vol 24 (3) ◽  
pp. 303-308 ◽  
Author(s):  
Yukiko Enomoto ◽  
Keita Yamauchi ◽  
Takahiko Asano ◽  
Katharina Otani ◽  
Toru Iwama

Background and purpose C-arm cone-beam computed tomography (CBCT) has the drawback that image quality is degraded by artifacts caused by implanted metal objects. We evaluated whether metal artifact reduction (MAR) prototype software can improve the subjective image quality of CBCT images of patients with intracranial aneurysms treated with coils or clips. Materials and methods Forty-four patients with intracranial aneurysms implanted with coils (40 patients) or clips (four patients) underwent one CBCT scan from which uncorrected and MAR-corrected CBCT image datasets were reconstructed. Three blinded readers evaluated the image quality of the image sets using a four-point scale (1: Excellent, 2: Good, 3: Poor, 4: Bad). The median scores of the three readers of uncorrected and MAR-corrected images were compared with the paired Wilcoxon signed-rank and inter-reader agreement of change scores was assessed by weighted kappa statistics. The readers also recorded new clinical findings, such as intracranial hemorrhage, air, or surrounding anatomical structures on MAR-corrected images. Results The image quality of MAR-corrected CBCT images was significantly improved compared with the uncorrected CBCT image ( p < 0.001). Additional clinical findings were seen on CBCT images of 70.4% of patients after MAR correction. Conclusion MAR software improved image quality of CBCT images degraded by metal artifacts.


2013 ◽  
Vol 18 (1) ◽  
pp. 301-311 ◽  
Author(s):  
Elisabeth Hofmann ◽  
Matthias Schmid ◽  
Martin Sedlmair ◽  
Rosemarie Banckwitz ◽  
Ursula Hirschfelder ◽  
...  

2011 ◽  
Vol 474-476 ◽  
pp. 1277-1282
Author(s):  
K.D. Huang ◽  
Ding Hua Zhang ◽  
Fang Long Zha ◽  
M.J. Li

The main factors of impacting Cone-Beam Computed Tomography (CBCT) image quality and their causes were studied, and an integrated method of enhancing CBCT image quality was proposed according to the Digital Radiography (DR) imaging model. First, the original polychromatic X-ray was filtered into quasi-monochromatic X-ray by the filter plate of copper-tungsten alloy, in order to improve the quality of the original projection images. Then, the integrated artifact corrections for projection images were processed on the order of dark field correction, gain non-uniformity correction, scatter correction and beam hardening correction, to avoid the one-sidedness of only correcting a certain kind of artifact. Experimental results show that the method can almost eliminate the main artifacts of CBCT system and improve image clarity and signal to noise ratio.


2020 ◽  
Author(s):  
◽  
Durer Iskanderani

Cone-beam computed tomography (CBCT) is one of the most revolutionary innovations in dentistry, and was introduced into the dental field two decades ago as a three-dimensional (3D) imaging modality. Since then, it has gained general clinical acceptance, and is widespread among many dental specialties. The CBCT examination is a fast and user-friendly technique that provides multiplanar images with high spatial resolution, providing information that is unattainable with two-dimensional (2D) imaging in many diagnostic tasks. Thus, CBCT is an essential examination tool that can replace or complement other examinations. CBCT imaging plays a valuable role when hard tissue abnormalities are suspected in the temporomandibular joint (TMJ) by providing diagnostic information on cortical and subcortical boneintegrity or destruction/production changes. The growing availability and use of CBCT at dental clinics has led to concerns as to whether the information obtained by CBCT imaging justifies the additional exposure of the patient to radiation and the training required to examine and interpret the images. The radiation protection principles: justification and optimisation, should always be applied as the basis for protection. This thesis presents four studies on TMJ imaging using CBCT. In line with recent trends towards digital online education, two CBCT educational tools were developed for the interpretation of CBCT images of the TMJ and published on the Malmö University web site. The first was an educational tool including 35 CBCT examinations of TMJ, presented as 2D multiplane CBCT images. The second was a web-based programme containing 15 CBCT examinations of TMJ, presented as 3D multiplane CBCT images. Both tools included the image analysis criteria of the Diagnostic Criteria for Temporomandibular disorder (DC/TMD) as an assessment module, and were tested by dental students. It was found that they could be useful educational tools for TMJ assessment using CBCT images. The aim of the third study was to map and compare the distribution of absorbed doses using radiochromic film dosimeters in panoramic radiography and CBCT examinations of the TMJ using adult and child anthropomorphic head phantoms. Sheets of Gafchromic film (XR-QA2)were placed at five levels, corresponding to the radiographic examination, in the phantoms. The clinical protocols for panoramic and CBCT imaging of the TMJ of three dental X-ray units were used. The mean absorbed doses to a number of radiosensitive tissues within the oral and maxillofacial regions were estimated. The absorbed doses varied considerably among and within the radiosensitive tissues with examination type, X-ray unit, clinical setting, and patient age. The bonesurface and salivary glands received the highest absorbed doses in both radiographic examinations. The radiation burden was lower when using two small right and left fields of view (FOVs) than when using a single larger FOV. Accurate measurements of the absorbed dose in small dental radiation fields is challenging due to steep dose gradients. The use of Gafchromic film has shown promising results, allowing dose comparisons between different radiographic imaging. The last study was carried out to investigate the possibility of dose optimisation in CBCT examinations of the TMJ, in line with there commendations of the International Commission on Radiological Protection (ICRP) and the National Council on Radiation Protection and Measurements (NCRP). Thirty-four adult patients referred for CBCT imaging of the TMJ underwent two examinations with different scanning protocols, a manufacturer-recommended protocol (default), and a low-dose protocol in which the tube current was reduced to 20% of that in the default protocol. Three image stacks were reconstructed: the default protocol, the low-dose protocol, and the low-dose protocol processed using a noise reduction algorithm. Four radiologists evaluated the visibility of TMJ anatomic structures, image quality and radiographic findings. It was found that the visibility of the TMJ anatomical structures, the overall image quality and the radiographic findings using the low-dose protocol were comparable to those in the default protocol, indicating that diagnostically comparable results could be obtained with a five times lower radiation dose. Finally, this thesis highlights the diagnostics of TMJ imaging using CBCT in the context of image interpretation, imaging dosimetry and dose optimisation, all with the purpose of improving and optimising radiological TMJ diagnostics.


2019 ◽  
Vol 18 ◽  
pp. 153303381882305 ◽  
Author(s):  
Weihua Mao ◽  
Chang Liu ◽  
Stephen J. Gardner ◽  
Farzan Siddiqui ◽  
Karen C. Snyder ◽  
...  

Purpose: We have quantitatively evaluated the image quality of a new commercially available iterative cone-beam computed tomography reconstruction algorithm over standard cone-beam computed tomography image reconstruction results. Methods: This iterative cone-beam computed tomography reconstruction pipeline uses a finite element solver (AcurosCTS)-based scatter correction and a statistical (iterative) reconstruction in addition to a standard kernel-based correction followed by filtered back-projection-based Feldkamp-Davis-Kress cone-beam computed tomography reconstruction. Standard full-fan half-rotation Head, half-fan full-rotation Head, and standard Pelvis cone-beam computed tomography protocols have been investigated to scan a quality assurance phantom via the following image quality metrics: uniformity, HU constancy, spatial resolution, low contrast detection, noise level, and contrast-to-noise ratio. An anthropomorphic head phantom was scanned for verification of noise reduction. Clinical patient image data sets for 5 head/neck patients and 5 prostate patients were qualitatively evaluated. Results: Quality assurance phantom study results showed that relative to filtered back-projection-based cone-beam computed tomography, noise was reduced from 28.8 ± 0.3 HU to a range between 18.3 ± 0.2 and 5.9 ± 0.2 HU for Full-Fan Head scans, from 14.4 ± 0.2 HU to a range between 12.8 ± 0.3 and 5.2 ± 0.3 HU for Half-Fan Head scans, and from 6.2 ± 0.1 HU to a range between 3.8 ± 0.1 and 2.0 ± 0.2 HU for Pelvis scans, with the iterative cone-beam computed tomography algorithm. Spatial resolution was marginally improved while results for uniformity and HU constancy were similar. For the head phantom study, noise was reduced from 43.6 HU to a range between 24.8 and 13.0 HU for a Full-Fan Head and from 35.1 HU to a range between 22.9 and 14.0 HU for a Half-Fan Head scan. The patient data study showed that artifacts due to photon starvation and streak artifacts were all reduced, and image noise in specified target regions were reduced to 62% ± 15% for 10 patients. Conclusion: Noise and contrast-to-noise ratio image quality characteristics were significantly improved using the iterative cone-beam computed tomography reconstruction algorithm relative to the filtered back-projection-based cone-beam computed tomography method. These improvements will enhance the accuracy of cone-beam computed tomography-based image-guided applications.


2021 ◽  
pp. 103744
Author(s):  
Laura Horsch ◽  
Christos Labis ◽  
Charlotte Theresa Trebing ◽  
Dorothea Kronsteiner ◽  
Tim Hilgenfeld ◽  
...  

2020 ◽  
Vol 6 (1) ◽  
Author(s):  
Kyungmin Lee ◽  
Gyu-Hyoung Lee

Abstract Background Radiographs are integral in evaluating implant space and inter-root distance. The purpose of this report is to introduce a method for evaluating the 3D root position with minimal radiation using a 3D tooth model composed of an intraoral-scanned crown and a cone-beam computed tomography (CBCT)-scanned root. Materials and methods Intraoral scan and CBCT scan of the patient were obtained before treatment. In the CBCT image, tooth segmentation was performed by isolating individual teeth from the maxillary and mandibular alveolar bone using software program. The 3D tooth model was fabricated by combining segmented individual teeth with the intraoral scan. Results A post-treatment intraoral scan was integrated into the tooth model, and the resulting position of the root could be predicted without additional radiographs. It is possible to monitor the root position after a pretreatment CBCT scan using a 3D tooth model without additional radiographs. Conclusion The application of the 3D tooth model benefits the patient by reducing repeated radiation exposure while providing the clinician with a precise treatment evaluation to monitor tooth movement.


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