Are cone beam CT image matching skills transferrable from planning CT to planning MRI for MR-only prostate radiotherapy?

Objectives: Treatment verification for MR-only planning has focused on fiducial marker matching, however, these are difficult to identify on MR. An alternative is using the MRI for soft-tissue matching with cone beam computed tomography images (MR-CBCT). However, therapeutic radiographers have limited experience of MRI. This study aimed to assess transferability of therapeutic radiographers CT-CBCT prostate image matching skills to MR-CBCT image matching. Methods: 23 therapeutic radiographers with 3 months–5 years’ experience of online daily CT-CBCT soft-tissue matching prostate cancer patients participated. Each observer completed a baseline assessment of 10 CT-CBCT prostate soft-tissue image matches, followed by 10 MR-CBCT prostate soft-tissue image match assessment. A MRI anatomy training intervention was delivered and the 10 MR-CBCT prostate soft-tissue image match assessment was repeated. Limits of agreement were calculated as the disagreement of the observers with mean of all observers. Results: Limits of agreement at CT-CBCT baseline were 2.8 mm, 2.8 mm, 0.7 mm (vertical, longitudinal, lateral). MR-CBCT matches prior to training were 3.3 mm, 3.1 mm, 0.9 mm, and after training 2.6 mm, 2.4 mm, 1.1 mm (vertical, longitudinal, lateral). Results show similar limits of agreement across the assessments, and variation reduced following the training intervention. Conclusion: This suggests therapeutic radiographers’ prostate CBCT image matching skills are transferrable to a MRI planning scan, since MR-CBCT matching has comparable observer variation to CT-CBCT matching. Advances in knowledge: This is the first publication assessing interobserver MR-CBCT prostate soft tissue matching in an MR-only pathway.

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Soft-tissue contrast resolution within the head of human cadaver by means of flat-detector-based cone-beam CT

10.1117/12.535191 ◽

2004 ◽

Cited By ~ 7

Author(s):

Jens Wiegert ◽

Matthias Bertram ◽

Dirk Schaefer ◽

Norbert Conrads ◽

Niels Noordhoek ◽

...

Keyword(s):

Soft Tissue ◽

Cone Beam Ct ◽

Cone Beam ◽

Human Cadaver ◽

Flat Detector ◽

Contrast Resolution ◽

Soft Tissue Contrast ◽

Tissue Contrast

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Relationship between CNR and visibility of anatomical structures of cone-beam computed tomography images under different exposure parameters

Dentomaxillofacial Radiology ◽

10.1259/dmfr.20190336 ◽

2020 ◽

Vol 49 (5) ◽

pp. 20190336

Author(s):

Miss Fei Wang ◽

Xiaoyan Xie ◽

Gang Li ◽

Zuyan Zhang

Keyword(s):

Image Quality ◽

Change Point ◽

Cone Beam Ct ◽

Cone Beam ◽

Physical Factors ◽

Anatomical Structures ◽

Subjective Image Quality ◽

Computed Tomography Images ◽

Tissue Equivalent ◽

Imagej Software

Objectives: The purpose of this study was to investigate the image quality of cone beam CT (CBCT) under different exposure parameters and the relationship between contrast-to-noise and visibility of eight anatomical structures. Methods: CBCT images for the evaluation of subjective image quality were acquired on an anthropopathic phantom containing a human skeleton embedded in soft tissue equivalent materials using 25 exposure protocols. Visibility of eight anatomical structures was evaluated by five independent observers. Using the SEDENTEXCT IQ Image Quality phantom, the contrast-to-noise ratio (CNR) was calculated by ImageJ software. Results: A reduction on the visibility of anatomical structures was seen under lower exposure parameters. However, for 84% of the protocols, visibility of anatomical structures remained acceptable even under some lower parameter settings. As CNR increased, the visibility of anatomical structures also increased correspondingly. A change point could be found in the CNR interval 29.42–36.51 after which the visibility of anatomical structures no longer increases with the increase of CNR. Conclusions: Although CNR decrease under a lower exposure parameter, the image quality often remained acceptable at exposure levels below the manufacture’s recommended settings. It is possible to standardize subjective image quality by physical factors. Currently, it is not possible to predetermine a change point CNR value due to different CBCT machine and variation of diagnostic tasks.

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Soft tissue thickness in Brazilian adults of different skeletal classes and facial types: A cone beam CT – Study

Legal Medicine ◽

10.1016/j.legalmed.2020.101743 ◽

2020 ◽

Vol 47 ◽

pp. 101743

Author(s):

Amanda Farias Gomes ◽

Debora Duarte Moreira ◽

Mariana Fabbro Zanon ◽

Francisco Carlos Groppo ◽

Francisco Haiter-Neto ◽

...

Keyword(s):

Soft Tissue ◽

Cone Beam Ct ◽

Cone Beam ◽

Tissue Thickness ◽

Soft Tissue Thickness ◽

Facial Types

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An Audit to Assess Electronic Portal Imaging (EPI) and Cone Beam CT (CBCT) Image Verification Methods in 16 Breast Patients

International Journal of Radiation Oncology*Biology*Physics ◽

10.1016/j.ijrobp.2012.07.640 ◽

2012 ◽

Vol 84 (3) ◽

pp. S246-S247

Author(s):

A. Woolley ◽

S. Dawoud ◽

A. Needham ◽

H. Summers ◽

S. Kirwin ◽

...

Keyword(s):

Cone Beam Ct ◽

Cone Beam ◽

Portal Imaging ◽

Electronic Portal Imaging ◽

Verification Methods ◽

Cbct Image

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Three-dimensional cone beam computed tomographic image reorientation using soft tissues as reference for facial asymmetry diagnosis

The Angle Orthodontist ◽

10.2319/112112-890.1 ◽

2013 ◽

Vol 84 (1) ◽

pp. 38-47 ◽

Cited By ~ 12

Author(s):

Jae-Kyu Lee ◽

Pil-Kyo Jung ◽

Cheol-Hyun Moon

Keyword(s):

Soft Tissue ◽

Soft Tissues ◽

Three Dimensional ◽

Facial Asymmetry ◽

Cone Beam ◽

Expert Group ◽

Computed Tomographic ◽

Asymmetry Analysis ◽

Cbct Image ◽

Facial Midline

ABSTRACT Objective: To investigate discrepancies in results of facial asymmetry analysis using different cone beam computed tomography (CBCT) image reorientation methods and the effectiveness of soft tissue as a reorientation reference for analysis of facial asymmetry. Materials and Methods: An asymmetric group of 30 patients with 4 mm or more of chin point (menton [Me]) deviation and a symmetric group of 30 patients with less than 4 mm of deviation of Me were chosen as study subjects. Three orientation methods were used to calculate and compare Me deviation values of the 60 subjects. Two methods used only skeletal landmarks for reference, and one method included the soft tissue landmarks around the eye. Preferences of an expert group for the facial midline as determined by each reorientation method were also examined. Results: The examinations showed significant discrepancies in Me deviation values between the three reorientation methods. The expert group showed the greatest preference for the facial midline reorientation method that incorporated soft tissue landmarks of the eye. Conclusions: These study findings suggest that the inclusion of soft tissue landmarks, especially those around the eyes, is effective for three-dimensional CBCT image reorientation for facial asymmetry analysis.

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