Assessment and application of the coherent point drift algorithm to augmented reality surgical navigation for laparoscopic partial nephrectomy

Zhang, Xiaohui; Wang, Tianmiao; Zhang, Xuebin; Zhang, Yinghao; Junchen, Wang

doi:10.1007/s11548-020-02163-6

Cited by 8 publications

(3 citation statements)

References 22 publications

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“…The generated 3D surface data, which consisted of point clouds, was non‐invasively integrated with CT data. A phantom containing a rubber kidney and intraoperative video recorded during LPN were used to assess the effectiveness of this surface‐based navigation approach for use with augmented reality 54,55 . In these endoscopic image‐based methods, it was necessary to segment the camera images to allow the kidney to be differentiated from the surrounding tissues prior to registration.…”

Section: Registration During Navigation Surgerymentioning

confidence: 99%

Patient‐specific simulations and navigation systems for partial nephrectomy

Makiyama,

Komeya,

Tatenuma

et al. 2023

Int J of Urology

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Partial nephrectomy (PN) is the standard treatment for T1 renal cell carcinoma. PN is affected more by surgical variations and requires greater surgical experience than radical nephrectomy. Patient‐specific simulations and navigation systems may help to reduce the surgical experience required for PN. Recent advances in three‐dimensional (3D) virtual reality (VR) imaging and 3D printing technology have allowed accurate patient‐specific simulations and navigation systems. We reviewed previous studies about patient‐specific simulations and navigation systems for PN. Recently, image reconstruction technology has developed, and commercial software that converts two‐dimensional images into 3D images has become available. Many urologists are now able to view 3DVR images when preparing for PN. Surgical simulations based on 3DVR images can change surgical plans and improve surgical outcomes, and are useful during patient consultations. Patient‐specific simulators that are capable of simulating surgical procedures, the gold‐standard form of patient‐specific simulations, have also been reported. Besides VR, 3D printing is also useful for understanding patient‐specific information. Some studies have reported simulation and navigation systems for PN based on solid 3D models. Patient‐specific simulations are a form of preoperative preparation, whereas patient‐specific navigation is used intraoperatively. Navigation‐assisted PN procedures using 3DVR images have become increasingly common, especially in robotic surgery. Some studies found that these systems produced improvements in surgical outcomes. Once its accuracy has been confirmed, it is hoped that this technology will spread further and become more generalized.

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Section: Registration During Navigation Surgerymentioning

confidence: 99%

Patient‐specific simulations and navigation systems for partial nephrectomy

Makiyama,

Komeya,

Tatenuma

et al. 2023

Int J of Urology

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“…Tetsuro Uchida et al [11] identified the intubation position in cardiac surgery by an augmented reality projection. Xiaohui Zhang et al [12] optimized the volume deformation algorithm and proposed an augmented reality projection method adapted to laparoscopic partial nephrectomy surgery navigation to provide visual support for laparoscopic surgery. Megha Kalia et al [13] proposed a calibration method to solve the problem of the visual field blind area of the Leonardo da Vinci surgical robot for prostate surgery, which helps the doctor avoid the step of endoscope removal during operation.…”

Section: Introductionmentioning

confidence: 99%

“…Xiaohui Zhang et al. [12] optimized the volume deformation algorithm and proposed an augmented reality projection method adapted to laparoscopic partial nephrectomy surgery navigation to provide visual support for laparoscopic surgery. Megha Kalia et al.…”

Section: Introductionmentioning

confidence: 99%

Augmented reality display of neurosurgery craniotomy lesions based on feature contour matching

Zhang

Sun

Liu

2021

Cognitive Comp and Systems

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Traditional neurosurgical craniotomy primarily uses two-dimensional cranial medical images to estimate the location of a patient's intracranial lesions. Such work relies on the experience and skills of the doctor and may result in accidental injury to important intracranial physiological tissues. To help doctors more intuitively determine patient lesion information and improve the accuracy of surgical route formulation and craniotomy safety, an augmented reality method for displaying neurosurgery craniotomy lesions based on feature contour matching is proposed. This method uses threshold segmentation and region growing algorithms to reconstruct a 3-D Computed tomography image of the patient's head. The augmented reality engine is used to adjust the reconstruction model's relevant parameters to meet the doctor's requirements and determine the augmented reality matching method for feature contour matching. By using the mobile terminal to align the real skull model, the virtual lesion model is displayed. Using the designed user interface, doctors can view the patient's personal information and can zoom in, zoom out, and rotate the virtual model. Therefore, the patient's lesions information can be visualized accurately, which provides a visual basis for preoperative preparation.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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