Computer aided surgical reconstruction after complex facial burn injuries – opportunities and limitations

Kovâcs, László; Zimmermann, Alexander; Wawrzyn, H.; Schwenzer, K.; Seitz, Hermann; Tille, Carsten; Papadopulos, Nikolaos Α.; Sader, Robert; Zeilhofer, H.‐F.; Biemer, E.

doi:10.1016/j.burns.2004.07.010

Cited by 28 publications

(16 citation statements)

References 9 publications

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“…Furthermore, 3D real-life models based on 3D stereophotogrammetry could be used for accurate simulation in surgical resident training, increasing the knowledge on the difficult anatomical areas of the human body and therefore improving the quality of teaching. 14,29,40 Results of landmark positioning…”

Section: Advantages Of 3d Imagingmentioning

confidence: 99%

Development of a three-dimensional hand model using 3D stereophotogrammetry: Evaluation of landmark reproducibility

Hoevenaren

Maal

Krikken

et al. 2015

Journal of Plastic, Reconstructive & Aesthetic Surgery

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Section: Advantages Of 3d Imagingmentioning

confidence: 99%

Development of a three-dimensional hand model using 3D stereophotogrammetry: Evaluation of landmark reproducibility

Hoevenaren

Maal

Krikken

et al. 2015

Journal of Plastic, Reconstructive & Aesthetic Surgery

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“…Also, in the area of biomedical engineering and medical system, several techniques were introduced for predicting the possible outcome of plastic face surgery (22,24) or even suggesting the aesthetically harmonic matches of facial features for the plastic surgery (6). Kovacs et al (23) used 3D face model to design the surgical reconstruction of severely burned faces. Lately, the virtual face model was used to simulate the surgical operation for training purpose (45).…”

Section: Face Analysis For Medical Applicationsmentioning

confidence: 99%

Personalized Face Modeling for Photorealistic Synthesis

Kim¹,

Shim²

2015

Journal of International Society for Simulation Surgery

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IntroductionFaces are one of the most important objects in our daily life. People heavily depend on a face to recognize the identity, gender, age, emotion of person and also perceive the attractiveness and other subjective properties of individual. Such a unique role of faces is associated with a wide range of applications such as forensics, game, movie special effects, virtual and augmented reality and many others. Accordingly, face modeling has received a great attention from research communities for decades and a huge amount of literature suggest the solution to this problem.Existing work aims to either extract the intrinsic attributes of the face (e.g. identity, age, emotion, shape, skin reflectance) or to synthesize the realistic face. The first group develops the powerful parameterized face model and applies this model into the input to derive the personalized model parameter. The input can vary upon the application scenario and it is normally as few as a single face image with some extra information (e.g. a depth image, a collection of the same person's face, etc.) if available. The major challenge of this problem is to accomplish the robust estimation of model parameters. It is because the limited number of inputs leads the inference ill-posed unless incorporating the strong constrains. To implant the strong regularization power into the model, it is important to build a concise appearance model with a reduced number of parameters. In this way, the inference problem becomes feasible.The other group focuses on constructing a highly realistic face model for the synthesis purpose. To achieve the realism in face model, they often increase a number of parameters for generating the complex illumination with details on skin (e.g. subsurface scattering and freckles). Especially, the subsurface scattering effects are the most challenging aspect of human skin. As a result, it is often required to capture up to few thousands of input images for constructing the personalized face model. This process requires not only many input images but also a specialized equipment under the studio-like environment because the scattering component is rarely factorized from regular images.Therefore, the framework of realistic face modeling is often developed with its capturing system. Recent approaches in face modeling are further developed to achieve the both robustness and realism. For example, Shim (33) suggested the face specular map to accomplish the robust parameter estimation and also shows the improved performance in realistic facial synthesis. More recently, unstructured face images are utilized in 3D face Faces play a key role in revealing the personalized attributes such as the identity, emotion, health condition, etc. Due to the importance of faces, computer-assisted face modeling and reconstruction have been actively studied both in computer vision and graphics community. Especially, face reconstruction and realistic face synthesis are well-grounded research problems and various approaches have been proposed during the...

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“…full body scans for anthropometric 10 , morphometric purposes or.forensic documentation of surface injuries 11 . Figure 2 Although the body surface can be acquired using traditional modalities like MRI, only surface scanners allow capturing data under natural gravity conditions since the patient is not forced to lie horizontally during the acquisition 4 . Figure 1.…”

Section: Applications Of Optical Surface Scanners In Computer Assistementioning

confidence: 99%

“…The use cases were derived based on 25 scientific papers and product reviews from different surgical disciplines including dentistry 3 , cranio-maxillofacial surgery 1 , breast surgery 5 6 , aesthetic surgery 4 , neurosurgery 7 , orthopedics 19 as well as technical approaches which are more or less application independent. Furthermore, optical scanners may be used to analyze the gait 20 , to monitor the correct patient position 21 , to evaluate the outcome of e.g.…”

Section: Use Cases and Application Fieldsmentioning

confidence: 99%

Storing data generated by optical surface scanners using DICOM: a work item proposal

Burgert¹,

Treichel²,

Dressler³

et al. 2010

Medical Imaging 2010: Advanced PACS-based Imaging Informatics and Therapeutic Applications

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In CAS literature, one finds numerous examples of the usage of directly measured surfaces. Those surfaces are usually measured using so called "Surface Scanners" which employ structured light (pattern projection or laser) to measure the surface. From an integration standpoint, it would be beneficial for many applications to have all patient data in a common repository and since in many cases radiology images are involved as well, a PACS is a natural option for storage of this data. DICOM -the major standard used for storage and transmission of data within a PACS -has recently been extended by the option to store surface meshes using a newly introduced data structure. This new Surface Mesh Module can serve as a basis for storage of data generated by an optical surface scanner. Nonetheless, a new Information Object Definition for this kind of data has to be introduced to reflect the specific needs: Device specific parameters have to be stored and, in addition to the Surface Mesh Module, there must be the possibility to store textures as well. This paper gives an overview about the specific requirements and an outline of a Work Item leading to an Optical Surface Scan Information Object Definition (IOD). ABSTRACTIn CAS literature, one finds numerous examples of the usage of directly measured surfaces. Those surfaces are usually measured using so called "Surface Scanners" which employ structured light (pattern projection or laser) to measure the surface. From an integration standpoint, it would be beneficial for many applications to have all patient data in a common repository and since in many cases radiology images are involved as well, a PACS is a natural option for storage of this data. DICOM -the major standard used for storage and transmission of data within a PACS -has recently been extended by the option to store surface meshes using a newly introduced data structure. This new Surface Mesh Module can serve as a basis for storage of data generated by an optical surface scanner. Nonetheless, a new Information Object Definition for this kind of data has to be introduced to reflect the specific needs: Device specific parameters have to be stored and, in addition to the Surface Mesh Module, there must be the possibility to store textures as well. This paper gives an overview about the specific requirements and an outline of a Work Item leading to an Optical Surface Scan Information Object Definition (IOD).

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Computer aided surgical reconstruction after complex facial burn injuries – opportunities and limitations

Cited by 28 publications

References 9 publications

Development of a three-dimensional hand model using 3D stereophotogrammetry: Evaluation of landmark reproducibility

Development of a three-dimensional hand model using 3D stereophotogrammetry: Evaluation of landmark reproducibility

Personalized Face Modeling for Photorealistic Synthesis

Storing data generated by optical surface scanners using DICOM: a work item proposal

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