2021
DOI: 10.1007/978-3-030-87202-1_51
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Patient-Specific Virtual Spine Straightening and Vertebra Inpainting: An Automatic Framework for Osteoplasty Planning

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Cited by 6 publications
(4 citation statements)
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“…CNN and GAN are also commonly used algorithms for spinal preoperative planning. For example, Bukas et al (2021) presented an automated framework based on CT scan and fractured vertebra to estimate a virtual healthy spine in the surgery of spinal vertebral compression. This method allows a CNN to segment the fractured spine and uses rigid registration to restore the curvature of the vertebra, and finally, the original shape of the fractured vertebra can be estimated using a GAN-based inpainting approach.…”
Section: Pre-operative Planning In Spine Surgerymentioning
confidence: 99%
“…CNN and GAN are also commonly used algorithms for spinal preoperative planning. For example, Bukas et al (2021) presented an automated framework based on CT scan and fractured vertebra to estimate a virtual healthy spine in the surgery of spinal vertebral compression. This method allows a CNN to segment the fractured spine and uses rigid registration to restore the curvature of the vertebra, and finally, the original shape of the fractured vertebra can be estimated using a GAN-based inpainting approach.…”
Section: Pre-operative Planning In Spine Surgerymentioning
confidence: 99%
“…Also, multi‐label segmentation masks assist clinicians to assess the fracture degree of a specific vertebra, 7 even to diagnose spinal fracture risks for osteoporotic patients 8,9 . Furthermore, vertebral masks can be applied to the practice of virtual spine straightening and vertebra generation to evaluate upper bounds of bone cement for osteoplasty 10 …”
Section: Introductionmentioning
confidence: 99%
“…8,9 Furthermore, vertebral masks can be applied to the practice of virtual spine straightening and vertebra generation to evaluate upper bounds of bone cement for osteoplasty. 10 The manual segmentation of spine will unavoidably cost a large quantity of time and human resource. 11 As is reported by, 1 each CT scan with 25 objects of interest bears about 10 4 voxels.…”
Section: Introductionmentioning
confidence: 99%
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