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 DESCRIPTION (provided by applicant): Acetabular dysplasia (a shallow hip socket) is a significant cause of osteoarthritis in young adults. The affected patients are usually unable to walk long distances, suffer from chronic pain, and usually limp. The major goals of osteotomy surgery are to 1) reduce patient pain and maintain his/her ability to perform normal daily physical activities, and 2) slow down or prevent the process of joint degeneration by reorienting the acetabulum to contain the femoral head and, therefore, reduce joint subluxation. In theory, both of these goals can be achieved by improving the contact pressure distribution on the acetabulum. Furthermore, one can hypothesize that reducing the maximum contact pressure of the acetabular cartilage will help to slow or prevent additional joint degeneration and reduce the incidence of osteoarthritis in dysplastic hips. PAO is inherently a challenging surgery performed only by a handful of surgeons in the United States. The few existing PAO navigation systems use optical system to track tools, and do not provide real-time tracking of the osteotomized fragment, 3D measurement of the realignment angles, and the osteotomy lines. Furthermore, surgeons use fluoroscopy to verify the joint realignment in the anterior-posterior plane only, limiting abilities to quantify the realignment of the joint in three-dimensional space. Our goal i to develop and evaluate a fluoroscopic guided system that performs three dimensional, real- time, intra-operative biomechanical analysis and fragment tracking to help surgeons improve the outcome of the periacetabular osteotomy (PAO). While the focus here is PAO surgery, applications of this research can be extended to other types of hip osteotomies, knee osteotomies, joint osteotomies, total hip replacement, and hip resurfacing techniques.
期刊论文(9)
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DOI: 10.1109/tmrb.2020.3012460
发表时间: 2020-08
期刊: IEEE transactions on medical robotics and bionics
影响因子: --
作者: [Gao C, Farvardin A, Grupp RB, Bakhtiarinejad M, Ma L, Thies M, Unberath M, Taylor RH, Armand M]
通讯作者: Armand M
Estimation of attachment regions of hip muscles in CT image using muscle attachment probabilistic atlas constructed from measurements in eight cadavers.
使用根据八具尸体的测量结果构建的肌肉附着概率图集来估计 CT 图像中臀部肌肉的附着区域。
DOI: 10.1007/s11548-016-1519-8
发表时间: 2017
期刊: International journal of computer assisted radiology and surgery
影响因子: 3
作者: [Fukuda,Norio, Otake,Yoshito, Takao,Masaki, Yokota,Futoshi, Ogawa,Takeshi, Uemura,Keisuke, Nakaya,Ryota, Tamura,Kazunori, Grupp,RobertB, Farvardin,Amirhossein, Armand,Mehran, Sugano,Nobuhiko, Sato,Yoshinobu]
通讯作者: Sato,Yoshinobu
DOI: 10.1007/978-3-030-59716-0_32
发表时间: 2020-10
期刊: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
影响因子: --
作者: [Gao C, Liu X, Gu W, Killeen B, Armand M, Taylor R, Unberath M]
通讯作者: Unberath M
System for documenting and tracking skin lesions
  • 批准号:
    10484160
  • 项目类别:
  • 资助金额:
    $25.24万
  • 财政年份:
    2022
  • 负责人:
    MEHRAN ARMAND
  • 依托单位:
Robotic System for Spinal Decompression and Interbody Fusion
  • 批准号:
    10610900
  • 项目类别:
  • 资助金额:
    $62.34万
  • 财政年份:
    2022
  • 负责人:
    MEHRAN ARMAND
  • 依托单位:
Robotic System for Spinal Decompression and Interbody Fusion
  • 批准号:
    10355589
  • 项目类别:
  • 资助金额:
    $58.38万
  • 财政年份:
    2022
  • 负责人:
    MEHRAN ARMAND
  • 依托单位:
Robot-Assisted Femoroplasty with Intraoperative Biomechanical Feedback
  • 批准号:
    9751870
  • 项目类别:
  • 资助金额:
    $42.92万
  • 财政年份:
    2017
  • 负责人:
    MEHRAN ARMAND
  • 依托单位:
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