A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection

Malan, D.F.; Walt, Stéfan J. van der; Raidou, Renata Georgia; Berg, Bas van den; Stoel, Berend C.; Botha, Charl P.; Nelissen, Rob G H H; Valstar, Edward R.

doi:10.1007/s11548-015-1252-8

Cited by 4 publications

(6 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…6 are clearly collected at different C-arm poses than those used for training the network tested on spec. 6. Three examples of spec.…”

Section: Discussionmentioning

confidence: 99%

“…The individual penalty applied for projecting a certain point "above" another is defined in (6). For image visualization in this paper, smaller row values are located above larger values.…”

Section: A21 Computationally Expensive Automatic Pelvis Registrationmentioning

confidence: 99%

“…Computerassisted navigation systems ease this burden by track-arXiv:1911.07042v1 [cs.CV] 16 Nov 2019 ing relevant objects and reporting their poses within the context of a surgical plan or scenario. Systems leveraging fluoroscopy have been developed for total hip arthroplasty [4], hip resurfacing [5], cement injection [6], and osteotomies of the acetabulum [7] or proximal femur [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

et al. 2020

View full text Add to dashboard Cite

Purpose Fluoroscopy is the standard imaging modality used to guide hip surgery and is therefore a natural sensor for computer-assisted navigation. In order to efficiently solve the complex registration problems presented during navigation, human-assisted annotations of the intraoperative image are typically required. This manual initialization interferes with the surgical workflow and diminishes any advantages gained from navigation. In this paper we propose a method for fully automatic registration using anatomical annotations produced by a neural network.Methods Neural networks are trained to simultaneously segment anatomy and identify landmarks in fluoroscopy. Training data is obtained using a computationallyintensive, intraoperatively incompatible, 2D/3D registration of the pelvis and each femur. Ground truth 2D segmentation labels and anatomical landmark locations are established using projected 3D annotations. Intraoperative registration couples a traditional intensitybased strategy with annotations inferred by the network and requires no human assistance.

show abstract

“…6 are clearly collected at different C-arm poses than those used for training the network tested on spec. 6. Three examples of spec.…”

Section: Discussionmentioning

confidence: 99%

“…The individual penalty applied for projecting a certain point "above" another is defined in (6). For image visualization in this paper, smaller row values are located above larger values.…”

Section: A21 Computationally Expensive Automatic Pelvis Registrationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

et al. 2020

View full text Add to dashboard Cite

show abstract

“…The scikit-image paper of 2014 [ 54 ] has been cited by 120 research works (as of August 2016, according to Google Scholar), among which are studies that used X-ray imaging in fields such as medical imaging [ 6 , 30 , 49 ], materials science [ 7 ], or geoscience [ 47 ].…”

Section: Development and Use Of Scikit-imagementioning

confidence: 99%

Analyzing microtomography data with Python and the scikit-image library

Gouillart

Nunez-Iglesias

Walt

2016

Adv Struct Chem Imag

View full text Add to dashboard Cite

The exploration and processing of images is a vital aspect of the scientific workflows of many X-ray imaging modalities. Users require tools that combine interactivity, versatility, and performance. scikit-image is an open-source image processing toolkit for the Python language that supports a large variety of file formats and is compatible with 2D and 3D images. The toolkit exposes a simple programming interface, with thematic modules grouping functions according to their purpose, such as image restoration, segmentation, and measurements. scikit-image users benefit from a rich scientific Python ecosystem that contains many powerful libraries for tasks such as visualization or machine learning. scikit-image combines a gentle learning curve, versatile image processing capabilities, and the scalable performance required for the high-throughput analysis of X-ray imaging data.

show abstract

“…PKP is minimally invasive spinal surgery that has been widely used in clinical practice. It is mainly used to inject bone cement into the vertebral body after balloon expansion under the guidance of the C-arm [ 11 , 26 ]. After the cement hardens, it improves stability of the spine.…”

Section: Discussionmentioning

confidence: 99%

Performance of Double-Arm Digital Subtraction Angiography (DSA)-Guided and C-Arm-Guided Percutaneous Kyphoplasty (PKP) to Treat Senile Osteoporotic Vertebral Compression Fractures

Ban¹,

Peng²,

Li³

et al. 2020

Med Sci Monit

View full text Add to dashboard Cite

Background Osteoporotic vertebral compression fracture (OVCF) is a common fracture in the elderly. Conservative treatment requires prolonged bedding, which may lead to serious complications. To explore optimized use of percutaneous kyphoplasty (PKP) in the treatment of senile osteoporotic thoracolumbar vertebral compression fractures, in this study, we used C-arm-guided and double-arm digital subtraction angiography (DSA)-guided PKP to treat OVCF in elderly patients and analyzed the effective recovery. Material/Methods In all, 60 patients who presented with osteoporotic vertebral compression fractures at our hospital between July 2017 and February 2019 were analyzed. They were randomly divided into C-arm-guided group and the double-arm DSA-guided groups. Both groups were treated with percutaneous kyphoplasty. Results A pain VAS score analysis revealed that there was no significant difference between the two groups before surgery (P>0.05). After surgery, the VAS scores showed a significant difference between the C-arm-guided group and the double-arm DSA-guided PKP treatment group (P<0.01). Moreover, with respect to the bone cement dosage, vertebral correction height, operation time, cumulative radiation dose, percolation rate, and volume of bone cement, the double-arm DSA-guided PKP treatment showed significantly better results than the C-arm-guided PKP treatment (P<0.01). Conclusions Our data revealed that double-arm DSA-guided PKP was more accurate in treatment of senile osteoporotic thoracolumbar vertebral compression fractures, producing excellent performance with more accurate intraoperative evaluation, shorter operative time, lower incidence of bone cement leakage, less intraoperative radiation dose, and higher safety, and thus, could be extensively applied to clinical surgery.

show abstract

A fluoroscopy-based planning and guidance software tool for minimally invasive hip refixation by cement injection

Cited by 4 publications

References 23 publications

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

Automatic annotation of hip anatomy in fluoroscopy for robust and efficient 2D/3D registration

Analyzing microtomography data with Python and the scikit-image library

Performance of Double-Arm Digital Subtraction Angiography (DSA)-Guided and C-Arm-Guided Percutaneous Kyphoplasty (PKP) to Treat Senile Osteoporotic Vertebral Compression Fractures

Contact Info

Product

Resources

About