&lt;title&gt;Visualization of a newborn's hip joint using 3D ultrasound and automatic image processing&lt;/title&gt;

Overhoff, Heinrich Martin; Lazovic, Djordje; Jan, Ute von

doi:10.1117/12.348537

Cited by 5 publications

(3 citation statements)

References 5 publications

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“…erosions, hypertrophic synovium, etc). Numerous works [1,5,6,7,8] and references therein have addressed automated bone extraction in 2D as well as 3D images for different clinical applications. In [5], authors have proposed the use of local phase asymmetry in detecting image edges caused by bone.…”

Section: Motivation and Prior Artmentioning

confidence: 99%

Automated bone and joint-region segmentation in volumetric ultrasound

Patwardhan

Cao

Mills

et al. 2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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Ultrasound (US) is being increasingly used in the assessment of joints for disorders such as rheumatoid arthritis (RA). Pathologies related to RA in joints, manifest themselves commonly as changes in the bone (e.g. erosions) and the region enclosed by the joint-capsule (e.g. synovitis). Automated tools for detecting and segmenting such structures would help significantly towards objective and quantitative assessment of RA in joints. In this paper we present a novel method for automatic extraction of the 3D bone surface and segmentation of the joint-capsule region from volumetric (3D) scans of commonly affected joints such as the metacarpophalangeal (MCP) and metatarsophalangeal (MTP) joints. We improve and extend the cost function proposed in [1] to 3D such that it is more robust to loss of acoustic intensity due to the surface normals facing away from the incident acoustic beam. The extracted bone coupled with a simple anatomical model of the MCP joint provides a coarse localization of the joint-capsule region. A probabilistic speckle model is then used to iteratively refine the capsule segmentation. We illustrate the performance of proposed methods through quantitative comparisons with expert annotations as well as qualitative results on over 30 scans obtained from 11 subjects.

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Section: Motivation and Prior Artmentioning

confidence: 99%

Automated bone and joint-region segmentation in volumetric ultrasound

Patwardhan

Cao

Mills

et al. 2012

2012 9th IEEE International Symposium on Biomedical Imaging (ISBI)

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“…Although its use is far from being widespread in clinical practice, the use of 3D ultrasound is rapidly growing and might provide certain advantages over 2D screening [7]. In [8], [9], [10], effort was made on the determination and visualization of the femoral head from 3D ultrasound images. In this paper, we present an automatic algorithm to segment the femoral head and the acetabulum by adjusting a sphere and a paraboloid.…”

Section: Introductionmentioning

confidence: 99%

Parametric 3D Hip Joint Segmentation for the Diagnosis of Developmental Dysplasia

Luis‐García

Alberola-López

2006

2006 International Conference of the IEEE Engineering in Medicine and Biology Society

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In this paper, we present a segmentation method for the hip joint from 3D ultrasound data. The proposed approach starts from a well-known energy formulation of the segmentation problem, and employs the extended local structure tensor as image feature in order to incorporate gray level and texture information in a common framework. Using the Kullback-Leibler distance as an intrinsic dissimilarity measure, the energy minimization is performed by estimating the optimal parameters of the shpere and paraboloid that best approximate the femoral head and acetabulum, respectively. A 2D level set segmentation of the iliac bone and an easy user interaction step allow for the introduction of the necessary constraints to make the energy minimization feasible. Experimental results over several data volumes show this approach to be capable of successfully approximating the anatomy of the hip joint by simple geometrical surfaces.

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“…total hip arthroplasty, THA) gilt die Röntgendiagnostik (Computertomographie) trotz der hohen Strahlenbelastung und der nicht gegebenen Echtzeitfähigkeit als "Gold Standard". [l ] In den letzten Jahren wurde vermehrt Ultraschall zur Kompensation der genannten Nachteile als alternatives bildgebendes Diagnoseverfahren für die intraoperative Navigation, sowie zur Registrierung von Hartgewebsstrukturen untersucht [2,3,4,5] P. Keppler et. al.…”

Section: Introductionunclassified

Ultraschall -Hartgewebedetektion Zur Registrierung in Der Orthopädie Und Traumatologie

Tretbar¹,

Ec²,

Hoss³

et al. 2002

Biomedizinische Technik/Biomedical Engineering

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The application of x-ray diagnostics for intraoperative navigation and for registration of hard tissue structures is restrained due to high radiation loads and the not given real time ability. Previous approaches with conventional ultrasonic imaging are only interactively applicable due to the high information content of soft tissue optimised B-mode-images. A pure image processing does not allow an automatic identification of individual structures, so that this must be done by the physician. To decrease the high expense of time, this report presents a concept for an adapted chain of rf-signal processing as well as an ultrasonic system for the contrast-enhanced representation of tissue borders. The system permits an exact measurement of the body geometry, which is demonstrated by determining the position of the pelvis entry plane.

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<title>Visualization of a newborn's hip joint using 3D ultrasound and automatic image processing</title>

Cited by 5 publications

References 5 publications

Automated bone and joint-region segmentation in volumetric ultrasound

Automated bone and joint-region segmentation in volumetric ultrasound

Parametric 3D Hip Joint Segmentation for the Diagnosis of Developmental Dysplasia

Ultraschall -Hartgewebedetektion Zur Registrierung in Der Orthopädie Und Traumatologie

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