Micro-CT

Kachelrieß, Marc

doi:10.1007/978-3-540-72718-7_2

Cited by 9 publications

(9 citation statements)

References 75 publications

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“…Furthermore, comparisons of CT values between clinical and microCT systems is complicated by differences in X‐ray beam geometries (Siewerdsen & Jaffray, ; Kalender, ; Katsumata et al. ; Kachelrieß, ; Mah et al. ; Chindasombatjaroen et al.…”

Section: Introductionmentioning

confidence: 99%

“…CT values must be calibrated to identify specific tissues, but universal usage of CT values as a contrast measurement index is complicated by the fact that values vary with sample size (Siegel et al 2004), voltage (Nakayama et al 2005;Miles et al 2007), and between CT systems (Miles et al 2007). Furthermore, comparisons of CT values between clinical and microCT systems is complicated by differences in X-ray beam geometries (Siewerdsen & Jaffray, 2001;Kalender, 2005;Katsumata et al 2007;Kachelrieß, 2008;Mah et al 2010;Chindasombatjaroen et al 2011). An attempt has been made to provide an alternative standard value, called a K factor, which is the slope of the linear relationship between the CT values and iodine concentration, in order to overcome these factors with iodine-based staining methods (Garrett et al 1985;Miles et al 2007).…”

Section: Introductionmentioning

confidence: 99%

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Quantitative analysis of microscopicX‐ray computed tomography imaging: Japanese quail embryonic soft tissues with iodine staining

Tahara

Larsson

2013

Journal of Anatomy

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Rapid three-dimensional imaging of embryos to better understand the complex process of morphogenesis has been challenging. Recently introduced iodine staining protocols (I 2 KI and alcoholic iodine stains) combined with microscopic X-ray computed tomography allows visualization of soft tissues in diverse small organisms and tissue specimens. I 2 KI protocols have been developed specifically for small animals, with a limited number of quantitative studies of soft tissue contrasts. To take full advantage of the low X-ray attenuation of ethanol and retain bound iodine while dehydrating the specimen in ethanol, we developed an ethanol I 2 KI protocol. We present comparative microscopic X-ray computed tomography analyses of ethanol I 2 KI and I 2 KI staining protocols to assess the performance of this new protocol to visualize soft tissue anatomy in late stage Japanese quail embryos using quantitative measurements of soft tissue contrasts and sample shrinkage. Both protocols had only 5% shrinkage compared with the original harvested specimen, supporting the use of whole mounts to minimize tissue shrinkage effects. Discrimination within and among the selected organs with each staining protocol and microscopic X-ray computed tomography imaging were comparable to those of a gray scale histological section. Tissue discrimination was assessed using calibrated computed tomography values and a new discrimination index to quantify the degree of computed tomography value overlaps between selected soft tissue regions. Tissue contrasts were dependent on the depth of the tissue within the embryos before the embryos were saturated with each stain solution, and optimal stain saturations for the entire embryo were achieved at 14 and 28 days staining for I 2 KI and ethanol I 2 KI, respectively. Ethanol I 2 KI provided superior soft tissue contrasts by reducing overstaining of fluid-filled spaces and differentially modulating staining of some tissues, such as bronchial and esophageal walls and spinal cord. Delineating the selected soft tissues using optimal threshold ranges derived from the quantitative analyses of the contrast enhancement in optimally stained embryos is possible. The protocols presented here are expected to be applicable to other organisms with modifications to staining time and contribute toward rapid and more efficient segmentation of soft tissues for three-dimensional visualization.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Quantitative analysis of microscopicX‐ray computed tomography imaging: Japanese quail embryonic soft tissues with iodine staining

Tahara

Larsson

2013

Journal of Anatomy

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“…For example, the imaging is quite prone to artifacts, which may cause image aliasing and affect the quality [ 67 ]. Besides, the ultrahigh resolution of micro-CT is usually accompanied by a radiation dose up to 1500 mGy, which significantly exceeds the clinical CT reference range of 1 to 70 mGy [ 68 ]. Thereby, if micro-CT was applied in the clinical diagnosis, the clinician should carefully balance the contradiction between the imaging resolution and radiation exposure.…”

Section: Imaging Modalities In the Diagnosis Of Cracked Toothmentioning

confidence: 99%

A perspective on the diagnosis of cracked tooth: imaging modalities evolve to AI-based analysis

Guo

Chen

et al. 2022

BioMed Eng OnLine

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Despite numerous clinical trials and pre-clinical developments, the diagnosis of cracked tooth, especially in the early stages, remains a challenge. Cracked tooth syndrome is often accompanied by dramatic painful responses from occlusion and temperature stimulation, which has become one of the leading causes for tooth loss in adults. Current clinical diagnostical approaches for cracked tooth have been widely investigated based on X-rays, optical light, ultrasound wave, etc. Advances in artificial intelligence (AI) development have unlocked the possibility of detecting the crack in a more intellectual and automotive way. This may lead to the possibility of further enhancement of the diagnostic accuracy for cracked tooth disease. In this review, various medical imaging technologies for diagnosing cracked tooth are overviewed. In particular, the imaging modality, effect and the advantages of each diagnostic technique are discussed. What’s more, AI-based crack detection and classification methods, especially the convolutional neural network (CNN)-based algorithms, including image classification (AlexNet), object detection (YOLO, Faster-RCNN), semantic segmentation (U-Net, Segnet) are comprehensively reviewed. Finally, the future perspectives and challenges in the diagnosis of the cracked tooth are lighted.

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“…This kind of artefact can be minimised by using higher beam intensities (increased mAs) which result in better signal-to-noise ratios (SNR) (Boas & Fleischmann 2012;Sutton et al 2014). Furthermore, an increased source voltage (Kachelrieß 2008;Hsieh 2009;Boas & Fleischmann 2012) and an augmented number of projection images (Sutton et al 2014) may reduce noise. Low exposure times can result in high noise, so increased exposure times and the use of filters may reduce these artefacts in dense samples (Sutton et al 2014).…”

Section: Ring Artefactsmentioning

confidence: 99%

Micro-computed tomography for natural history specimens: a handbook of best practice protocols

Keklikoglou

Faulwetter

Chatzinikolaou

et al. 2019

EJT

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Micro-computed tomography (micro-CT or microtomography) is a non-destructive imaging technique using X-rays which allows the digitisation of an object in three dimensions. The ability of micro-CT imaging to visualise both internal and external features of an object, without destroying the specimen, makes the technique ideal for the digitisation of valuable natural history collections. This handbook serves as a comprehensive guide to laboratory micro-CT imaging of different types of natural history specimens, including zoological, botanical, palaeontological and geological samples. The basic principles of the micro-CT technology are presented, as well as protocols, tips and tricks and use cases for each type of natural history specimen. Finally, data management protocols and a comprehensive list of institutions with micro-CT facilities, micro-CT manufacturers and relative software are included.

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Micro-CT

Cited by 9 publications

References 75 publications

Quantitative analysis of microscopicX‐ray computed tomography imaging: Japanese quail embryonic soft tissues with iodine staining

Quantitative analysis of microscopicX‐ray computed tomography imaging: Japanese quail embryonic soft tissues with iodine staining

A perspective on the diagnosis of cracked tooth: imaging modalities evolve to AI-based analysis

Micro-computed tomography for natural history specimens: a handbook of best practice protocols

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