2021
DOI: 10.1002/rcs.2220
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Geometric and volumetric relationship between human lumbar vertebrae and “Black‐bone” MRI‐based models

Abstract: 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 betw… Show more

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Cited by 5 publications
(12 citation statements)
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“…The geometrical accuracy of bone segmentation has been evaluated on long bones and vertebrae in ex vivo studies so that MR segmentation could be compared to the physical bone shape using 3D printing, 47 mechanical contact/optical scanners, 18,[31][32][33] or micro-CT. 31,82 Bone specimens were processed to remove soft tissues, resulting in a potential shrinkage of the gold standard compared to the bone as scanned using MRI and CT. 18,25,33,82 On average, CT segmentation overestimated the actual bone shape, whereas MR segmentation mostly underestimated it, [31][32][33]47 although not consistently. 25,82 Nevertheless, surface distances between the MR-based segmentation and the cadaveric specimen were on average submillimeter, 17,25,31,33,82 with mean absolute surface distances ranging from 0.23 mm to 0.41 mm for MR-segmentations and from 0.15 mm to 0.51 mm for CT-based segmentations. 17,25,31,33 Similarly, root mean square error (RMSE) was mainly submillimeter, 18,31,33 although it could reach 1.2 mm 32 in the knee for MRI models (vs. 0.5 mm for CT models).…”
Section: Bone Geometrical Accuracymentioning
confidence: 96%
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“…The geometrical accuracy of bone segmentation has been evaluated on long bones and vertebrae in ex vivo studies so that MR segmentation could be compared to the physical bone shape using 3D printing, 47 mechanical contact/optical scanners, 18,[31][32][33] or micro-CT. 31,82 Bone specimens were processed to remove soft tissues, resulting in a potential shrinkage of the gold standard compared to the bone as scanned using MRI and CT. 18,25,33,82 On average, CT segmentation overestimated the actual bone shape, whereas MR segmentation mostly underestimated it, [31][32][33]47 although not consistently. 25,82 Nevertheless, surface distances between the MR-based segmentation and the cadaveric specimen were on average submillimeter, 17,25,31,33,82 with mean absolute surface distances ranging from 0.23 mm to 0.41 mm for MR-segmentations and from 0.15 mm to 0.51 mm for CT-based segmentations. 17,25,31,33 Similarly, root mean square error (RMSE) was mainly submillimeter, 18,31,33 although it could reach 1.2 mm 32 in the knee for MRI models (vs. 0.5 mm for CT models).…”
Section: Bone Geometrical Accuracymentioning
confidence: 96%
“…Some of the images were fat‐suppressed (eg, S‐GRE of the shoulder) or post‐processed (eg, VS‐GRE of the shoulder). Some images are reprinted with permissions from the reference given in the top left‐hand corner of the images 16–24 . Black bone/skull was reprinted by permission from Springer Nature 20 .…”
Section: Mri‐based Visualization Of the Bone Morphologymentioning
confidence: 99%
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“…Several studies have validated CT and MRI in the creation of accurate 3D-printed models, as well as the use of 3D Slicer in the creation of musculoskeletal segmentation. Several of our previous reports have demonstrated the dimensional and volumetric accuracy of both CT and MRI data when compared to bone and 3D-printed models [ 10 , 11 ]. In a comparison of the 3D model and the cadaver pelvis, 3D printing resulted in accurate models suitable for preoperative workup [ 4 ].…”
Section: Discussionmentioning
confidence: 99%