3D open-surface shape correspondence for statistical shape modeling: Identifying topologically consistent landmarks

Dalal, Pahal; Ju, Lili; McLaughlin, Michael J.; Zhou, Xiangrong; Fujita, Hiroshi; Wang, Song

doi:10.1109/iccv.2009.5459412

Cited by 9 publications

(6 citation statements)

References 36 publications

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“…The landmarks were selected automatically in order to cover the entire surfaces uniformly. The correspondences were initially obtained using constrained k‐mean clustering and refined by minimizing the matching cost using shape contexts …”

Section: Methodsmentioning

confidence: 99%

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Anatomically Standardized Maps Reveal Distinct Patterns of Cartilage Thickness With Increasing Severity of Medial Compartment Knee Osteoarthritis

Favre

Erhart‐Hledik

Blazek

et al. 2017

Journal Orthopaedic Research

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While cartilage thickness alterations are a central element of knee osteoarthritis (OA), differences among disease stages are still incompletely understood. This study aimed to quantify the spatial-variations in cartilage thickness using anatomically standardized thickness maps and test if there are characteristic patterns in patients with different stages of medial compartment knee OA. Magnetic resonance images were acquired for 75 non-OA and 100 OA knees of varying severities (Kellgren and Lawrence (KL) scores 1-4). Three-dimensional cartilage models were reconstructed and a shape matching technique was applied to convert the models into two-dimensional anatomically standardized thickness maps. Difference thickness maps and statistical parametric mapping were used to compare the four OA and the non-OA subgroups. This analysis showed distinct thickness patterns for each clinical stage that formed a coherent succession from the non-OA to the KL 4 subgroups. Interestingly, the only significant difference for early stage (KL 1) was thicker femoral cartilage. With increase in disease severity, typical patterns developed, including thinner cartilage in the anterior area of the medial condyle (significant for KL 3 and 4) and thicker cartilage in the posterior area of the medial and lateral condyles (significant for all OA subgroups). The tibial patterns mainly consisted of thinner cartilage for both medial and lateral compartments (significant for KL 2-4). Comparing anatomically standardized maps allowed identifying patterns of thickening and thinning over the entire cartilage surface, consequently improving the characterization of thickness differences associated with OA. The results also highlighted the value of anatomically standardized maps to analyze spatial variations in cartilage thickness. © 2017 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:2442-2451, 2017.

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Section: Methodsmentioning

confidence: 99%

“…d). The matching transformations were determined similarly to Step 1, by preregistering the template and individual surfaces using cylinder or plane fits and by determining correspondences between landmarks in the template and individual surfaces using constrained k‐mean clustering and shape contexts …”

Section: Methodsmentioning

confidence: 99%

Anatomically Standardized Maps Reveal Distinct Patterns of Cartilage Thickness With Increasing Severity of Medial Compartment Knee Osteoarthritis

Favre

Erhart‐Hledik

Blazek

et al. 2017

Journal Orthopaedic Research

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“…An optimization technique for improving the correspondence, called "iterative landmark sliding" (SLIDE), has shown to be better than other approaches such as minimum description length (MDL) and spherical harmonics (SPHARM), in terms of the three shape model evaluation measures (compactness, generalization, and specificity) (Dalal et al, 2009(Dalal et al, , 2007. While the SLIDE optimization was not considered in the current study, it has been shown that the correspondence map established using coordinates and surface normals along with iterative TPS to refine landmarks is sufficient Fig.…”

Section: Discussionmentioning

confidence: 99%

A statistical geometrical description of the human liver for probabilistic occupant models

Lu¹,

Untaroiu²

2014

Journal of Biomechanics

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“…In [43,49–51], they use Dijkstra's algorithm to define patches. It will lead to zigzag boundaries along the patches.…”

Section: Discussionmentioning

confidence: 99%

3D segmentation of maxilla in cone-beam computed tomography imaging using base invariant wavelet active shape model on customized two-manifold topology

Chang

Xia²,

Yuan

et al. 2013

Journal of X-Ray Science and Technology: Clinical Applications

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Recent advances in cone-beam computed tomography (CBCT) have rapidly enabled widepsread applications of dentomaxillofacial imaging and orthodontic practices in the past decades due to its low radiation dose, high spatial resolution, and accessibility. However, low contrast resolution in CBCT image has become its major limitation in building skull models. Intensive hand-segmentation is usually required to reconstruct the skull models. One of the regions affected by this limitation the most is the thin bone images. This paper presents a novel segmentation approach based on wavelet density model (WDM) for a particular interest in the outer surface of anterior wall of maxilla. Nineteen CBCT datasets are used to conduct two experiments. This mode-based segmentation approach is validated and compared with three different segmentation approaches. The results show that the performance of this model-based segmentation approach is better than those of the other approaches. It can achieve 0.25 ± 0.2mm of surface error from ground truth of bone surface.

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3D open-surface shape correspondence for statistical shape modeling: Identifying topologically consistent landmarks

Abstract: Abstract

Cited by 9 publications

References 36 publications

Anatomically Standardized Maps Reveal Distinct Patterns of Cartilage Thickness With Increasing Severity of Medial Compartment Knee Osteoarthritis

Anatomically Standardized Maps Reveal Distinct Patterns of Cartilage Thickness With Increasing Severity of Medial Compartment Knee Osteoarthritis

A statistical geometrical description of the human liver for probabilistic occupant models

3D segmentation of maxilla in cone-beam computed tomography imaging using base invariant wavelet active shape model on customized two-manifold topology

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