Robust statistical shape models for MRI bone segmentation in presence of small field of view

Schmid, Jérôme; Kim, Jinman; Magnenat‐Thalmann, Nadia

doi:10.1016/j.media.2010.09.001

Cited by 87 publications

(70 citation statements)

References 58 publications

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“…While doing the splits, a sagittal water excitation 3D double-echo steady-state sequence and a transverse 3D fast gradient echo sequence (VIBE) were achieved. Table 1 details the imaging parameters of each MRI sequence. Using the MR images in the supine position, a virtual 3D model of the hip joint was reconstructed utilizing validated segmentation software [9,10]. Thus, for each volunteer, patient-specific 3D models of the pelvis and femur were obtained.…”

Section: Outcomes Of Interestmentioning

confidence: 99%

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Extreme hip motion in professional ballet dancers: dynamic and morphological evaluation based on magnetic resonance imaging

et al. 2012

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Objective To determine the prevalence of femoroacetabular impingement (FAI) of the cam or pincer type based on magnetic resonance imaging (MRI) in a group of adult female professional ballet dancers, and to quantify, in vivo, the range of motion (ROM) and congruence of the hip joint in the splits position. Materials and methods Institutional review board approval and informed consent from each volunteer were obtained. Thirty symptomatic or asymptomatic adult female professional ballet dancers (59 hips) and 14 asymptomatic non-dancer adult women (28 hips, control group) were included in the present study. All subjects underwent MRI in the supine position, while, for the dancers, additional images were acquired in the splits position. Labral abnormalities, cartilage lesions, and osseous abnormalities of the acetabular rim were assessed at six positions around the acetabulum. A morphological analysis, consisting of the measurement of the α angle, acetabular depth, and acetabular version, was performed. For the dancers, ROM and congruency of the hip joint in the splits position were measured.Results Acetabular cartilage lesions greater than 5 mm were significantly more frequent in dancer's hips than in control hips (28.8 vs 7.1%, p=0.026), and were mostly present at the superior position in dancers. Distribution of labral lesions between the dancers and the control group showed substantially more pronounced labral lesions at the superior, posterosuperior, and anterosuperior positions in dancers (54 lesions in 28 dancer's hips vs 10 lesions in 8 control hips). Herniation pits were found significantly more often (p=0.002) in dancer's hips (n=31, 52.5%), 25 of them being located in a superior position. A cam-type morphology was found for one dancer and a retroverted hip was noted for one control. Femoroacetabular subluxations were observed in the splits position (mean: 2.05 mm). Conclusion The prevalence of typical FAI of the cam or pincer type was low in this selected population of professional ballet dancers. The lesions' distribution, mostly superior, could be explained by a "pincer-like" mechanism of impingement with subluxation in relation to extreme movements performed by the dancers during their daily activities.

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Section: Outcomes Of Interestmentioning

confidence: 99%

“…Thus, for each volunteer, patient-specific 3D models of the pelvis and femur were obtained. The average [standard deviation] accuracy of this reconstruction was 1.25 mm (±1 mm) [9,10].…”

Section: Outcomes Of Interestmentioning

confidence: 99%

Extreme hip motion in professional ballet dancers: dynamic and morphological evaluation based on magnetic resonance imaging

et al. 2012

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“…where = 180, = − (1 2 ⁄ ), = 1500 and C = 1.06 × 10 with a cut-off frequency = 100, for ∈ [1,125], so the high pressure values in the top 25 levels are retained and emphasized. This mapping function is used to derive = ( ) which is then thresholded.…”

Section: Feature Extraction Using the Pressure Analogymentioning

confidence: 99%

“…Previous research has tackled this problem using manual segmentation as prerequisite such as; statistical shape methods to describe the femur bone [1] [2], general Hough transform to construct the optimum model [3] and iterative deformable model to match the femur shape [4]. Other methods relied on initial parameters chosen by an operator to refine boundary information between the acetabulum and the femoral bone [5].…”

Section: Introductionmentioning

confidence: 99%

Femur Bone Segmentation Using a Pressure Analogy

Alathari

Nixon

Bah

2014

2014 22nd International Conference on Pattern Recognition

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Abstract-It has been recently shown that preclinical analysis of computed tomography 3D image volumes can provide essential information to find the optimal position of an implant in hip replacement procedures. In order to extract such data, proper segmentation is crucial. Many of the currently-available methods depend on manually segmented data as the first step. Inherent difficulties concern the similar density of adjacent structures, and that physically-separated structures appear to touch in scanned imagery. In this study, we describe a new technique based on pressure analogy that depends on the local features of the image to accurately and automatically segment and visualize the femur bone and separate it from the acetabulum. The Dice coefficient was employed to study the similarity between the surface area of the segmentations compared with the manually segmented data, and a high value has been achieved. The same method also showed promising results in segmenting other limbs such as the pelvis, tibia and fibula bones.

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“…Statistical models of bone structures have been investigated extensively with the aim of enhancing automation in CT and MR image segmentation [6][7][8][9][10][11][12] and reconstructing patientspecific shape models from a small number of X-ray images or even from a single image [13][14][15]. Innovative methods for bone shape analysis have been applied to 3D mesh segmentation and clinical feature detection [16][17][18][19][20][21].…”

Section: Introductionmentioning

confidence: 99%

Mean-shifted surface curvature algorithm for automatic bone shape segmentation in orthopedic surgery planning: a sensitivity analysis

Cerveri

Manzotti

Marchente

et al. 2012

Computer Aided Surgery

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The results of recent studies concerning statistical bone atlases and automated shape analysis are promising with a view to widening the use of surface models in orthopedic clinical practice, both in pre-operative planning and in the intra-operative stages. In this domain, automatic shape analysis is strongly advocated because it offers the opportunity to detect morphological and clinical landmarks with superior repeatability in comparison to human operators. Surface curvatures have been proposed extensively for segmentation and labeling of image and surface regions based on their appearance and shape. The surface curvature is an invariant that can be exploited for reliable detection of geometric features. In this paper, we investigate the potentiality of the algorithm termed mean-shift (MS), as applied to a non-linear combination of the minimum and maximum curvatures of a surface. We exploited a sensitivity analysis of the algorithm parameters across increasing surface resolutions. Results obtained with femur and pelvic bone surface data, reconstructed from cadaveric CT scans, demonstrated that the information content derived by the MS non-linear curvature overcomes both the mean and the Gaussian curvatures and the original non-linear curvature. By applying a threshold-based clustering algorithm to the curvature distribution, we found that the number of clusters yielded by the MS non-linear curvature is significantly lower (by a factor of up to 6) than that obtained by using the original non-linear curvature. In conclusion, this study provides valuable insights into the use of surface curvature for automatic shape analysis.

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Robust statistical shape models for MRI bone segmentation in presence of small field of view

Cited by 87 publications

References 58 publications

Extreme hip motion in professional ballet dancers: dynamic and morphological evaluation based on magnetic resonance imaging

Extreme hip motion in professional ballet dancers: dynamic and morphological evaluation based on magnetic resonance imaging

Femur Bone Segmentation Using a Pressure Analogy

Mean-shifted surface curvature algorithm for automatic bone shape segmentation in orthopedic surgery planning: a sensitivity analysis

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