Effects of CT image segmentation methods on the accuracy of long bone 3D reconstructions

Rathnayaka, Kanchana; Sahama, Tony; Schuetz, Michael; Schmutz, Beat

doi:10.1016/j.medengphy.2010.10.002

Cited by 104 publications

(88 citation statements)

References 34 publications

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“…In order to obtain a 3D model with a high geometric accuracy, the person performing the modelling should be familiar with anatomy in order that errors in bone boundary determination are kept to a minimum (Lee et al 2008;Anastasi et al 2009;Rathnayaka et al 2012). Similar observations were made during segmentation of CT data (Rathnayaka et al 2010;Rathnayaka et al 2012). In our case, approximately 70% of the surgical procedures were performed automatically.…”

Section: Discussionmentioning

confidence: 97%

Low-field magnetic resonance imaging for 3D volume rendering of canine stifle joint pathologies: a case report

Przeworski¹,

Adamiak²,

Głodek³

2017

Vet. Med. - Czech

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This article presents a case report in which complex deformities of the canine stifle joint were visualised using 3D volume rendering of images acquired in a low-field MRI system. The use of low-field MRI for 3D volume rendering has been described in human medicine, but no such reports are available as yet in veterinary medicine. A two-year-old male mongrel dog (8.5 kg body mass) with an unknown previous history of hindlimb lameness was presented to our clinic. The left stifle joint was hyperextended, slightly enlarged and it showed a limited range of motion. Three-dimensional sequences were used to visualise bones of the stifle joint. Optimal values of in-plane spatial resolution were obtained for small structures. The developed 3D model contributed to our understanding of the spatial localisation of bone deformities in the patient, which was crucial in surgical planning. This report shows that three-dimensional models do significantly enhance the clinical applicability of low-field MRI.

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Section: Discussionmentioning

confidence: 97%

Low-field magnetic resonance imaging for 3D volume rendering of canine stifle joint pathologies: a case report

Przeworski¹,

Adamiak²,

Głodek³

2017

Vet. Med. - Czech

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“…While the Canny-edge detection filter algorithm was to outline the cortical boundaries of the diaphyseal regions of the bone (23), and was reported to generate a mean error of ~0.23 mm between CT versus MRI-based bone models (17), manual segmentation was still required to delineate the bony edges in the epiphyseal regions due to the existence of metal artefacts. Osteophytes were also found in two specimens.…”

Section: Discussionmentioning

confidence: 99%

Can MRI accurately detect pilon articular malreduction? A quantitative comparison between CT and 3T MRI bone models

Radzi¹,

Dlaska²,

Cowin³

et al. 2016

Quant. Imaging Med. Surg.

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Background: Pilon fracture reduction is a challenging surgery. Radiographs are commonly used to assess the quality of reduction, but are limited in revealing the remaining bone incongruities. The study aimed to develop a method in quantifying articular malreductions using 3D computed tomography (CT) and magnetic resonance imaging (MRI) models.Methods: CT and MRI data were acquired using three pairs of human cadaveric ankle specimens.Common tibial pilon fractures were simulated by performing osteotomies to the ankle specimens. Five of the created fractures [three AO type-B (43-B1), and two AO type-C (43-C1) fractures] were then reduced and stabilised using titanium implants, then rescanned. All datasets were reconstructed into CT and MRI models, and were analysed in regards to intra-articular steps and gaps, surface deviations, malrotations and maltranslations of the bone fragments.Results: Initial results reveal that type B fracture CT and MRI models differed by ~0.2 (step), ~0.18 (surface deviations), ~0.56° (rotation) and ~0.4 mm (translation). Type C fracture MRI models showed metal artefacts extending to the articular surface, thus unsuitable for analysis. Type C fracture CT models differed from their CT and MRI contralateral models by ~0.15 (surface deviation), ~1.63° (rotation) and ~0.4 mm (translation).Conclusions: Type B fracture MRI models were comparable to CT and may potentially be used for the postoperative assessment of articular reduction on a case-to-case basis.

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“…A semiautomated segmentation technique, supported by manual correction of the threshold results was followed. During this multi threshold segmentation, the mean gray-scale within the image is calculated, while sensitive edge detection filters were employed (Rathnayaka et al, 2010;Canny, 1986) to distinguish the apparent tissue types. The reconstructed volumes exhibited porosity values ranging from 68.52 to 91.38%, while all the sample characteristics were in agreement with the existing literature data (Baroud et al, 2004).…”

Section: Methodsmentioning

confidence: 99%

The effect of osteoarthritis on the regional anatomical variation of subchondral trabecular bone in the femoral head

Tsouknidas

Anagnostidis

Panagiotidou

et al. 2015

Clinical Biomechanics

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Effects of CT image segmentation methods on the accuracy of long bone 3D reconstructions

Cited by 104 publications

References 34 publications

Low-field magnetic resonance imaging for 3D volume rendering of canine stifle joint pathologies: a case report

Low-field magnetic resonance imaging for 3D volume rendering of canine stifle joint pathologies: a case report

Can MRI accurately detect pilon articular malreduction? A quantitative comparison between CT and 3T MRI bone models

The effect of osteoarthritis on the regional anatomical variation of subchondral trabecular bone in the femoral head

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