scholarly journals Proposal for the Fusion of Ultrasound and Computed Tomography Images for Image Shift Correction in Craniomaxillofacial Soft Tissue Surgery

2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
Chengshuai Yang ◽  
Yong Zhang ◽  
Jinyang Wu ◽  
Shilei Zhang
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Computed Tomography Images ◽  
Soft Tissue Surgery

scholarly journals Visualization Ability of Phase-Contrast Synchrotron-Based X-Ray Imaging Using an X-Ray Interferometer in Soft Tissue Tumors

2021 ◽  
Vol 20 ◽  
pp. 153303382110101
Author(s):  
Thet-Thet Lwin ◽  
Akio Yoneyama ◽  
Hiroko Maruyama ◽  
Tohoru Takeda
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Spatial Resolution ◽  
Phase Contrast ◽  
Soft Tissue Tumors ◽  
X Ray ◽  
3 Dimensional ◽  
Computed Tomography Images ◽  
X Ray Imaging ◽  
X Ray Computed

Phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer provides high sensitivity and high spatial resolution, and it has the ability to depict the fine morphological structures of biological soft tissues, including tumors. In this study, we quantitatively compared phase-contrast synchrotron-based X-ray computed tomography images and images of histopathological hematoxylin-eosin-stained sections of spontaneously occurring rat testicular tumors that contained different types of cells. The absolute densities measured on the phase-contrast synchrotron-based X-ray computed tomography images correlated well with the densities of the nuclear chromatin in the histological images, thereby demonstrating the ability of phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer to reliably identify the characteristics of cancer cells within solid soft tissue tumors. In addition, 3-dimensional synchrotron-based phase-contrast X-ray computed tomography enables screening for different structures within tumors, such as solid, cystic, and fibrous tissues, and blood clots, from any direction and with a spatial resolution down to 26 μm. Thus, phase-contrast synchrotron-based X-ray imaging using an X-ray interferometer shows potential for being useful in preclinical cancer research by providing the ability to depict the characteristics of tumor cells and by offering 3-dimensional information capabilities.

Combined multi-kernel chest computed tomography images optimized for depicting both lung and soft tissue

2014 ◽  
Vol 38 (2) ◽  
pp. 104-108 ◽  
Author(s):  
Satoshi Takagi ◽  
Hiroyuki Nagase ◽  
Tatsuya Hayashi ◽  
Tamotsu Kita ◽  
Katsumi Hayashi ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Chest Computed Tomography ◽  
Computed Tomography Images

Facial soft tissue thickness of the Japanese population determined using post mortem computed tomography images

2020 ◽  
Vol 23 ◽  
pp. 200423
Author(s):  
Chihiro Tanaka ◽  
Hajime Utsuno ◽  
Yohsuke Makino ◽  
Saki Minegishi ◽  
Jun Ota ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Japanese Population ◽  
Post Mortem ◽  
Tissue Thickness ◽  
Facial Soft Tissue ◽  
Computed Tomography Images ◽  
Soft Tissue Thickness

scholarly journals Feasibility of Synthetic Computed Tomography Images Generated from Magnetic Resonance Imaging Scans Using Various Deep Learning Methods in the Planning of Radiation Therapy for Prostate Cancer

Cancers ◽  
2021 ◽  
Vol 14 (1) ◽  
pp. 40
Author(s):  
Gyu Sang Yoo ◽  
Huan Minh Luu ◽  
Heejung Kim ◽  
Won Park ◽  
Hongryull Pyo ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Computed Tomography ◽  
Deep Learning ◽  
Magnetic Resonance ◽  
Soft Tissue ◽  
Ct Images ◽  
Learning Approaches ◽  
Learning Methods ◽  
Computed Tomography Images ◽  
The Mean

We aimed to evaluate and compare the qualities of synthetic computed tomography (sCT) generated by various deep-learning methods in volumetric modulated arc therapy (VMAT) planning for prostate cancer. Simulation computed tomography (CT) and T2-weighted simulation magnetic resonance image from 113 patients were used in the sCT generation by three deep-learning approaches: generative adversarial network (GAN), cycle-consistent GAN (CycGAN), and reference-guided CycGAN (RgGAN), a new model which performed further adjustment of sCTs generated by CycGAN with available paired images. VMAT plans on the original simulation CT images were recalculated on the sCTs and the dosimetric differences were evaluated. For soft tissue, a significant difference in the mean Hounsfield unites (HUs) was observed between the original CT images and only sCTs from GAN (p = 0.03). The mean relative dose differences for planning target volumes or organs at risk were within 2% among the sCTs from the three deep-learning approaches. The differences in dosimetric parameters for D98% and D95% from original CT were lowest in sCT from RgGAN. In conclusion, HU conservation for soft tissue was poorest for GAN. There was the trend that sCT generated from the RgGAN showed best performance in dosimetric conservation D98% and D95% than sCTs from other methodologies.

scholarly journals Comparing the Use of 3D Photogrammetry and Computed Tomography in Assessing the Severity of Single-Suture Nonsyndromic Craniosynostosis

2017 ◽  
Vol 25 (2) ◽  
pp. 78-83 ◽  
Author(s):  
Olivia A. Ho ◽  
Nikoo Saber ◽  
Derek Stephens ◽  
April Clausen ◽  
James Drake ◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Confidence Interval ◽  
Three Dimensional ◽  
Computed Tomography Images ◽  
Younger Age ◽  
Significant Difference ◽  
3D Photogrammetry ◽  
The Mean ◽  
Single Suture

Purpose: Single-suture nonsyndromic craniosynostosis is diagnosed using clinical assessment and computed tomography (CT). With increasing awareness of the associated risks of radiation exposure, the use of CT is particularly concerning in patients with craniosynostosis since they are exposed at a younger age and more frequently than the average child. Three-dimensional (3D) photogrammetry is advantageous—it involves no radiation, is conveniently obtainable within clinic, and does not require general anaesthesia. This study aims to assess how 3D photogrammetry compares to CT in the assessment of craniosynostosis severity, to quantify surgical outcomes, and analyze the validity of 3D photogrammetry in craniosynostosis. Methods: Computed tomography images and 3D photographs of patients who underwent craniosynostosis surgery were assessed and aligned to best fit. The intervening area between the CT and 3D photogrammetry curves at the supraorbital bar (bandeau) level in axial view was calculated. Statistical analysis was performed using Student t test. Ninety-five percent confidence intervals were determined and equivalence margins were applied. Results: In total, 41 pairs of CTs and 3D photographs were analyzed. The 95% confidence interval was 198.16 to 264.18 mm2 and the mean was 231.17 mm2. When comparisons were made in the same bandeau region omitting the temporalis muscle, the 95% confidence interval was 108.94 to 147.38 mm2, and the mean was 128.16 mm2. Although statistically significant difference between the modalities was found, they can be attributable to the dampening effect of soft tissue. Conclusion: Within certain error margins, 3D photogrammetry is comparable to CT in assessing the severity of single-suture nonsyndromic craniosynostosis. However, a dampening effect can be attributable to the soft tissue. Three-dimensional photogrammetry may be more applicable for severe cases of craniosynostosis but not milder deformity. It may also be beneficial for assessing the overall appearance and aesthetics but not for determining underlying bony severity.

scholarly journals Prevalence of soft tissue calcifications in CBCT images from the Oral and Maxillofacial Radiology Service at UNAB, Viña del Mar, Chile.

2020 ◽  
Vol 9 (6) ◽  
pp. 457-465
Author(s):  
Patricio Meléndez-Rojas ◽  
◽  
Leniz Arancibia-Mesas ◽  
Carolina Poblete-Carrasco ◽  
◽  
...  
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Cone Beam Computed Tomography ◽  
Soft Tissues ◽  
Cone Beam ◽  
Maxillofacial Radiology ◽  
Cross Sectional ◽  
Radiology Service ◽  
Computed Tomography Images ◽  
Oral And Maxillofacial Radiology

Soft tissue calcifications can indicate the presence of more serious, potentially life-threatening pathologies. Therefore, their study can lead to an early diagnosis of those conditions that have not yet become clinically apparent. Main objective: To determine the prevalence of calcifications in soft tissues of the head and neck in cone beam computed tomography images obtained from the Oral and Maxillofacial Radiology Service at Universidad Andrés Bello (UNAB), Viña del Mar, Chile. Material and Methods: Retrospective, cross-sectional, quantitative study. A total of 288 images of cone beam computed tomography (CBCT) were used. Images were obtained at random from the database of the Oral and Maxillofacial Radiology Service at UNAB, Viña Del Mar, between 2014 and 2019. Results: A prevalence of 59.72% of soft tissue calcifications was obtained. The most prevalent were: tonsilloliths and calcified stylohyoid ligament, accounting for 30.65% and 45.56%, respectively. Conclusion: A high prevalence of soft tissue calcifications was found in a population that has not been studied previously; therefore, it is important that the dentist perform a detailed analysis of the cone beam computed tomography.

scholarly journals Prevalence of soft tissue calcifications in cone beam computed tomography images of the mandible

2011 ◽  
Vol 26 (4) ◽  
pp. 297-303 ◽  
Author(s):  
Leiliane Ferreira da Silva Nunes ◽  
Karina Cecília Panelli Santos ◽  
José Luiz Cintra Junqueira ◽  
Jefferson Xavier Oliveira
Keyword(s):  
Computed Tomography ◽  
Soft Tissue ◽  
Cone Beam Computed Tomography ◽  
Cone Beam ◽  
Computed Tomography Images
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