Black bone MRI with 3D reconstruction for the detection of skull fractures in children with suspected abusive head trauma

Kralik, Stephen F.; Supakul, Nucharin; Wu, Isaac C.; Delso, Gaspar; Radhakrishnan, Rupa; Ho, Chang Yueh; Eley, Karen A.

doi:10.1007/s00234-018-2127-9

Cited by 48 publications

(58 citation statements)

References 23 publications

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“…Non-accidental injury in the paediatric population offers similar challenges with a need for comprehensive and ideally non-ionising imaging. The potential for BB and the ZTE equivalent, PETRA, techniques in the diagnosis of craniosynostosis and skull fractures has been demonstrated [3,8]. The demonstrated benefits of a combined ZTE+ BB or ZTE+FIESTA-C segmentation algorithm would be of clear benefit in these patient groups, albeit with the requirement for further confirmation of their accuracy.…”

Section: Discussionmentioning

confidence: 99%

“…The main benefit of this GRE-based technique is that it can be implemented on all MRI systems irrespective of vendor or field strength. Previous attempts with GRE-BB to produce 3D rendered imaging of the craniofacial skeleton have shown considerable promise, but remain limited by time-intensive segmentation techniques [2][3][4][5][6][7][8]. Recent developments in an automated segmentation algorithm have brought these techniques significantly closer to routine clinical practice [9].…”

Section: Introductionmentioning

confidence: 99%

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Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images

Eley

Delso

2020

Neuroradiology

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Purpose Automated bone segmentation from MRI datasets would have a profound impact on clinical utility, particularly in the craniofacial skeleton where complex anatomy is coupled with radiosensitive organs. Techniques such as gradient echo black bone (GRE-BB) and short echo time (UTE, ZTE) have shown potential in this quest. The objectives of this study were to ascertain (1) whether the highcontrast of zero echo time (ZTE) could drive segmentation of high-resolution GRE-BB data to enhance 3D-output and (2) if these techniques could be extrapolated to ZTE driven segmentation of a routinely used non bone-specific sequence (FIESTA-C). Methods Eleven adult volunteers underwent 3T MRI examination with sequential acquisition of ZTE, GRE-BB and FIESTA-C imaging. Craniofacial bone segmentation was performed using a fully automated segmentation algorithm. Segmentation was completed individually for GRE-BB and a modified version of the algorithm was subsequently implemented, wherein the bone mask yielded by ZTE segmentation was used to initialise segmentation of GRE-BB. The techniques were subsequently applied to FIESTA-C datasets. The resulting 3D reconstructions were evaluated for areas of unexpected bony defects and discrepancies. Results The automated segmentation algorithm yielded acceptable 3D outputs for all GRE-BB datasets. These were enhanced with the modified algorithm using ZTE as a driver, with improvements in areas of air/bone interface and dense muscular attachments. Comparable results were obtained with ZTE+FIESTA-C. Conclusion Automated 3D segmentation of the craniofacial skeleton is enhanced through the incorporation of a modified segmentation algorithm utilising ZTE. These techniques are transferrable to FIESTA-C imaging which offers reduced acquisition time and therefore improved clinical utility.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images

Eley

Delso

2020

Neuroradiology

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“…The ‘Black‐bone’ MRI sequence has been used previously in the craniofacial skeleton, to offer a non‐ionizing alternative to CT in children with skull abnormalities 5 ,. 6 , 21–24 Robinson et al 25 . found that foetal ‘Black‐bone’ MRI could be used in the assessment of spinal abnormalities, therefore reducing the risks of ionizing radiation to the mother and the foetus.…”

Section: Discussionmentioning

confidence: 99%

Geometric and volumetric relationship between human lumbar vertebrae and “Black‐bone” MRI‐based models

Kanawati

Fernandes

Gee

et al. 2021

Robotics Computer Surgery

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Background This study will examine the differences between human lumbar vertebrae, three‐dimensional (3D) scans of these bones, 3D models based on ‘Black‐bone’ magnetic resonance imaging (MRI) scans, and 3D‐printed models. Materials and Methods 3D mesh models were created from the “Black‐bone” MRI data from two cadaveric human spines, and then 3D printed. Four models were analysed and compared: anatomic bones, 3D‐scanned models, MRI models and 3D‐printed models. Results There was no significant difference between when comparing the average of all measurements between all model types (p = 0.81). The mean dice coefficient was 0.91 (SD 0.016) and the mean Hausdorff distance was 0.37 mm (SD 0.04 mm) when comparing the MRI model to the 3D‐scanned model. The mean volumes for the MRI model and the 3D scanned model were 10.42 and 10.04 ml (p = 0.085), respectively. Conclusions The ‘Black‐bone’ MRI could be a valid radiation‐free alternative to computed tomography for the 3D printing of lumbar spinal biomodels.

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“…CT) [13,14]. Black bone MRI sequences aim to suppress fat and water simultaneously to create uniform signal for soft tissues, thus differentiating it from bone tissue with high-spatial resolution for applications in the head and neck such as craniosynostosis, skull trauma, or 3D-printing [15][16][17][18]. However, while Eley et al showed that black bone MRI has comparable spatial performance for CT measurement across the image, the feasibility and utility of using black bone MR images for quantitative cortical assessment for the mandible has yet to be explored.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Black bone MRI morphometry for mandibular cortical bone measurement in head and neck cancer patients: Prospective method comparison with CT

Head

Dijk

Ventura

et al. 2020

Preprint

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Objectives To determine the utility of low-flip angle black bone magnetic resonance imaging (MRI) for cortical mandibular bone assessment by comparing interdentium cortical measurements and inter-observer morphometric variability in relation to computed tomography (CT). Methods Quantification of cortical mandible bone width was performed as per Hamada et al. at 15 cross-sectional interdentium locations on pre-treatment black bone MRI and CT for 15 oropharyngeal cancer patients, with inter-observer analyses on a subset of 3 patients by 11 observers. Bland-Altman limits of agreement and bias estimation, Lin s concordance correlation (LCC), and Deming orthogonal regression were used to compare CT and MRI measurements. The absolute variance and intraclass correlation coefficient (ICC) were implemented for the inter-observer error quantification. Results Both the Bland Altman and Deming regression analyses showed CT and black bone MRI measurements were comparable within ±0.85 mm limits of agreement, and systematically smaller for MRI. LCC (0.60[0.52;0.67]) showed moderate equivalence between modalities. The average absolute variance between the observers was similar on CT (1.13±0.06 mm) and MRI (1.15 ±0.06 mm). The ICC analyses showed that measurement consistency was significantly higher (p<0.001) for the black bone MRI (0.43[0.32;0.56]) than CT (0.22[0.13;0.35]); nonetheless, the ICC was poor for both modalities. Conclusions Black bone MR sequence is usable as an alternative to CT for cortical mandible bone measurements, allowing use for early detection of cortical alteration (e.g. osteonecrosis). The cortical bone measurements showed substantive but equivalent inter-observer variation on both CT and black bone MRI. (Semi)automated measurement may mitigate this in future work.

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Black bone MRI with 3D reconstruction for the detection of skull fractures in children with suspected abusive head trauma

Cited by 48 publications

References 23 publications

Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images

Automated 3D MRI rendering of the craniofacial skeleton: using ZTE to drive the segmentation of black bone and FIESTA-C images

Geometric and volumetric relationship between human lumbar vertebrae and “Black‐bone” MRI‐based models

Black bone MRI morphometry for mandibular cortical bone measurement in head and neck cancer patients: Prospective method comparison with CT

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