Shu-Yen Wan

Chang Gung University

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Co-Authors

William E. Higgins

Pennsylvania State University

Chi Him Eddie

City University of Hong Kong

Erik L. Ritman

Mayo Clinic

Jiann-Der Lee

Chang Gung University

Lun‐Jou Lo

Chang Gung University

Che-Yao Chang

Chang Gung University

Atilla P. Kiraly

Google (United States)

Kuo‐Ching Ying

National Taipei University of Technology

Hsiu‐Hsia Lin

Chang Gung Memorial Hospital

Eric A. Hoffman

University of Iowa

Cooperative Institutions

Chang Gung University

Pennsylvania State University

Chang Gung Memorial Hospital

National Taiwan University

Sun Yat-sen University

Linkou Chang Gung Memorial Hospital

The First Affiliated Hospital, Sun Yat-sen University

Louisiana State University

National Taiwan University Hospital

National Yang Ming Chiao Tung University

Author Statistics

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Synergy of Symmetric Region Grow and Active Contour in Reconstruction of a 3D Rat

Shu-Yen Wan Chian-Hung Hou

The general goal of this work is modeling and reconstruction of a three-dimensional (3D) rat from a series of two-dimensional (2D) images captured from an inexpensive digital camera. We proposed a hybrid segmentation method that incorporates symmetric region grow (symRG) and active contour modeling (ACM) to robustly extract regions of interest (ROIs), such as organs, spines, and vessels. symRG is employed to enhance the segmentation performance while the edge information passed from the ACM can help prevent over-segmentation. We built a component-based software platform that includes the symRG and ACM components as well as the other image enhancement, post-segmentation processing, surface rendering components allowing the user to dynamically compose a streamlined 3D rat reconstruction procedure or script. The example dataset in this paper include 284 slices of 2D rat whole-body images. Separate scripts were used to model and visualize the body, heart, lung, stomach, and head. Few user-imposed parameters were required and the whole processing , from loading series of 2D images towards 3D rendition to demonstrate the results, is within two minutes.

Active contour model

3D Reconstruction

10.1109/cbms.2006.153

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Citations (0)

Artifact-Resistant Superimposition of Digital Dental Models and Cone-Beam Computed Tomography Images

Journal of Oral and Maxillofacial Surgery (2013)

Hsiu‐Hsia Lin Wen-Chung Chiang Lun‐Jou Lo Sam Sheng-Pin Hsu Chien-Hsuan Wang

Superimposition

Artifact (error)

Mandible (arthropod mouthpart)

10.1016/j.joms.2013.06.199

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Citations (59)

Skeletonization on 3D tree-embedded graphs

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2003)

Chi Him Eddie Shu-Yen Wan Jiann-Der Lee

Thinning is for extracting unit-width skeletons from original objects. Such unit-width skeletons are useful in analyzing tree-structured objects, such bronchi or blood tubes. A tree-structured object could be segmented as a graph since the tails of different branches of the object may be too close and taken as cycles. One possible approach for extracting a tree structure from an original tree-oriented object is to extract a unit-width skeleton, then extract a tree structure from the unit-width skeleton. One major drawback of this approach is that the information of the thickness of each branch is vanished in the first step where the thickness of a branch is important in deciding which voxel should be reduced and which should not. This paper proposes an approach to obtain unit width tree structures from original tree-embedded objects directly through the thinning process.

Skeletonization

Tree (set theory)

Thinning

10.1117/12.480126

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Interslice interpolation of anisotropic 3D images using multiresolution contour correlation

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2002)

Jiann-Der Lee Shu-Yen Wan Chi Him Eddie

To visualize, manipulate and analyze the geometrical structure of anatomical changes, it is often required to perform three-dimensional (3-D) interpolation of the interested organ shape from a series of cross-sectional images obtained from various imaging modalities, such as ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), etc. In this paper, a novel wavelet-based interpolation scheme, which consists of four algorithms are proposed to 3-D image reconstruction. The multi-resolution characteristics of wavelet transform (WT) is completely used in this approach, which consists of two stages, boundary extraction and contour interpolation. More specifically, a wavelet-based radial search method is first designed to extract the boundary of the target object. Next, the global information of the extracted boundary is analyzed for interpolation using WT with various bases and scales. By using six performance measures to evaluate the effectiveness of the proposed scheme, experimental results show that the performance of all proposed algorithms is superior to traditional contour-based methods, linear interpolation and B-spline interpolation. The satisfactory outcome of the proposed scheme provides its capability for serving as an essential part of image processing system developed for medical applications.

Interpolation

Image scaling

Multiresolution analysis

Spline (mechanical)

10.1117/12.467068

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Landmark-less Registration of Craniomaxillofacial Images Acquired for 3D Photography and CBCT

2021 International Conference on Computational Science and Computational Intelligence (CSCI) (2018)

Shu-Yen Wan Che-Yao Chang Lun‐Jou Lo

Superimposition of craniomaxillofacial images acquired by cone-beam computed tomography and three-dimensional photography can help assist diagnosis and surgical planning. Conventional approaches identified prominent facial landmarks on both modalities and assessed their correspondence. Considering, however, variation of facial expressions when imaged at different timing, landmark registration is challenging and can be inappropriate. This paper proposes a disturbance-region removal procedure to improve the efficacy of registration. The disturbance regions are defined as those exhibiting strong responses in the concavity intensity maps that are computed from the facial surface mesh. An adapted symmetric region growing algorithm follows to form connected disturbance regions that are removed prior to superimposition of both modalities. The results show a 28% better match of overall correspondence of the facial fiducial markers. Instead of being the registration guides in conventional approaches, in this study the fiducial markers are employed as a means to assess the performance of registration.

Superimposition

Fiducial marker

Landmark

Image registration

Anatomical landmark

10.1109/csci46756.2018.00154

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<title>Virtual bronchoscopic approach for combining 3D CT and endoscopic video</title>

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE (2000)

Anthony J. Sherbondy Atilla P. Kiraly Allen L. Austin J.P. Helferty Shu-Yen Wan

To improve the care of lung-cancer patients, we are devising a diagnostic paradigm that ties together three-dimensional (3D) high-resolution computed-tomographic (CT) imaging and bronchoscopy. The system expands upon the new concept of virtual endoscopy that has seen recent application to the chest, colon, and other anatomical regions. Our approach applies computer-graphics and image-processing tools to the analysis of 3D CT chest images and complementary bronchoscopic video. It assumes a two-stage assessment of a lung-cancer patient. During Stage 1 (CT assessment), the physician interacts with a number of visual and quantitative tools to evaluate the patient's 'virtual anatomy' (3D CT scan). Automatic analysis gives navigation paths through major airways and to pre-selected suspect sites. These paths provide useful guidance during Stage-1 CT assessment. While interacting with these paths and other software tools, the user builds a multimedia Case Study, capturing telling snapshot views, movies, and quantitative data. The Case Study contains a report on the CT scan and also provides planning information for subsequent bronchoscopic evaluation. During Stage 2 (bronchoscopy), the physician uses (1) the original CT data, (2) software graphical tools, (3) the Case Study, and (4) a standard bronchoscopy suite to have an augmented vision for bronchoscopic assessment and treatment. To use the two data sources (CT and bronchoscopic video) simultaneously, they must be registered. We perform this registration using both manual interaction and an automated matching approach based on mutual information. We demonstrate our overall progress to date using human CT cases and CT-video from a bronchoscopy- training device.

10.1117/12.383389

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Citations (20)

A medial-surface oriented 3-d two-subfield thinning algorithm

Pattern Recognition Letters (2001)

Chi Him Eddie Shu-Yen Wan

Adjacency list

Thinning

Medial axis

10.1016/s0167-8655(01)00083-6

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Citations (31)

Three-dimensional model reconstruction for cleft lip and palate surgery

International Multiconference on Computer Science and Information Technology (2009)

Chunfu Wang Shu-Yen Wan

In craniofacial rectification process, most physicians conduct surgical planning through the patient's two-dimensional cephalometry. Three-dimensional models, however, can present more reliable and instructional results, and can help evaluate craniofacial features from different angles and curve surfaces. This study focuses on reconstruction and adjustment of the three-dimensional model for patients with cleft lips and palate, and to establish soft-to-hard tissue relativity model in Le Fort I maxillary osteotomy. We proposed the spatial transformation-calibration and modeling (STCM) method to predict change of soft tissues after Le Fort I maxillary osteotomy. The preliminary case studies were done by using two data sets to help the physicians and the patients further their understanding of current conditions and approximate profiles after the forthcoming surgical operations.

Cephalometry

Surgical Planning

10.1109/imcsit.2009.5352686

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Citations (0)

The acidity of gastro-intestinal contents of vegetarian and omnivorous rats.

The Chinese Journal of Physiology (1933)

Shu-Yen Wan

Omnivore

Gastro-

Source

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Citations (1)

Compressing sets of similar images using hybrid compression model

Jiann-Der Lee Shu-Yen Wan Chemg-Min Ma Ruifeng Wu

A new compression scheme called the hybrid compression model (HCM) is proposed for compressing sets of similar images. The HCM employs the region growing technique to partition the median image of a set of similar images; and furthermore, it uses the centroid method to characterize the original image data. The differences between the predicted and the original image data are stored and encoded for later use. The efficacy of its application on progressive transmission of similar images over the networks is also studied. The experimental results on various images show that our method provides significant improvement in compression efficiency, ranging from 5.6% to 134.9% in comparison with traditional centroid methods.

Centroid

Data set

Ranging

10.1109/icme.2002.1035857

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Citations (3)