Preoperative Planning Program Tool in Treatment of Articular Fractures: Process of Segmentation Procedure

Tomaževič, Matevž; Kreuh, Darij; Kristan, Anže; Puketa, V.; Cimerman, Matej

doi:10.1007/978-3-642-13039-7_108

Cited by 10 publications

(13 citation statements)

References 9 publications

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“…The authors cooperated with surgeons in Show Chwan Memorial Hospital, Taiwan, to develop the proposed system and have worked with them to complete more than 10 surgeries. The advantages of the proposed system over that shown in [4,5] are as follows. Firstly, all algorithms are integrated into one software program, whereas bone segmentation is performed individually in [4,5].…”

Section: Discussionmentioning

confidence: 99%

“…The basic principles of surgical treatment are anatomic reconstruction of the ring structure of the pelvis and restoring its biomechanical characteristics [1][2][3]. Computer technology with three-dimensional (3D) medical images has been developed to help the preoperative evaluation and planning of pelvic fractures [4][5][6]. However, surgeons are hesitant to use computer-aided technologies in daily orthopedic surgery for numerous reasons, such as expensive hardware and software systems, difficulty in learning and manipulation, complex operating procedures, and an insufficient number of simulation tools for clinical applications.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, no data are presented regarding the operating efficiency of the entire process. Tomazevic et al [5] discussed the application of the above-mentioned program for the preoperative planning of articular fractures, where the segmentation process of a proximal humerus fracture was emphasized.…”

Section: Introductionmentioning

confidence: 99%

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Lee¹,

Lai²,

et al. 2014

J. Med. Biol. Eng.

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Pelvic disruption is among the most complex injuries in orthopedic surgery because of the complex fracture patterns in the pelvic structure. Traditional preoperative planning using two-dimensional medical images usually encounters the problem of insufficient information for accurate assessment. In our previous work, a preoperative planning system that uses three-dimensional (3D) medical images and models was developed for the pre-surgical assessment, planning, and simulation of pelvic surgery. In this study, two additional functions, namely semi-automatic bone reduction and several types of fixation simulation are proposed to enhance the integrality of the proposed system for clinical applications. Ten clinical cases are presented for feasibility verification. For some of the cases, the surgeon carries out the simulation first, and then performs the surgery using procedures very similar to those in the simulation. The primary contribution of the proposed system is that the surgeon can go through the critical part of the surgery with the proposed 3D planning and simulation to fully understand the fracture pattern and make an appropriate surgical plan beforehand.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Untitled

Lee¹,

Lai²,

et al. 2014

J. Med. Biol. Eng.

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“…This manual procedure takes about 5 min. Tomazevic et al (2010) present a tool to separate bone fragments in a 3D model. For this purpose, the user must position seed points on different fracture locations and the tool calculates the fracture line in between.…”

Section: Fragment Separationmentioning

confidence: 99%

“…Therefore, the segmentation is performed on non-fractured bones and then the segmented bones are virtually cut. In Tomazevic et al (2010), the area where the bones are located is detected using a threshold-based method. Then, they present manual and semi-automatic F. Paulano et al 4 Table 1.…”

Section: Fragment Segmentation and Labellingmentioning

confidence: 99%

Identification of fractured bone tissue from CT images

Paulano

Jiménez

Pulido

2014

Computer Methods in Biomechanics and Biomedical Engineering: Im

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The identification of fractured bone from computed tomographic (CT) images is a helpful task in medical visualisation and simulation. In many cases, specialists need to manually revise 2D and 3D CT images and detect bone fragments in order to check a fracture. The automation of this process would allow them to save time. In visualisation, it allows the reduction of image noise and the removal of undesirable parts. In simulation, the utilisation of models reconstructed from CT images of patients allows customisation of the simulation, because the result of the segmentation can be used to perform a reconstruction that provides a 3D model of the patient anatomy. In this paper, the main issues to be considered in order to identify both healthy and fractured bones are described. The identification of fractured bone requires not only to segment bone tissue but also to label bone fragments. Moreover, some fragments can appear together after the segmentation process, hence additional processing can be required. Currently proposed approaches for identifying healthy and fractured bones are analysed and classified. Finally, the aspects to be improved in the described methods are outlined and the work to do is identified.

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