악교정수술솔루션 소개서

모르페우스 3D 악교정수술 솔루션

Part 1.

회사 소개

식회사 모르페우스는 2 년여전

혁신적 교정용솔루션인 <Morpheus3D Dental Solution> 을 개발한 이래 ,제품의 탁월한 우수성과 확장성을 바탕으로

다양한 고부가 진료과목의 의료솔루션을 연이어 시장에 내놓아

국내는 물론 전세계 시장과 학계 , 의료계로부터 호평을 받아왔으며

이를 통해 임상과 학술 , 의료산업계의 새로운 기준을 만들어가고 있습니다 .

주

2 years after,We made a splendid achievement of overseas expansion. And at a fast pace we are making our regional dental and aesthetic solu-tions distributor contracts.• MDS (Dental Solution) Japan, Spain, Thailand, Indonesia, Philippines • MAS (Aesthetic Solution) United States / China / Turkey / 30+ asian countries* Russia & 10+ CIS countries** * Nepal, East Timor, Lebanon, Macau, Malaysia, Maldives, Mongolia, Myanmar, Bahrain, Bangladesh, Oman, Jordan, Uzbekistan, Iraq, Iran, India, Taiwan, Kazakhstan, Qatar, Vietnam, Bhutan, Brunei, Saudi Arabia, Sri Lanka, Syria, Singapore, United Arab Emirates, Afghanistan, Yemen, Cambodia, Kuwait, Kyrgyzstan, Tajikistan, Turkmenistan, Pakistan, Palestine, HongKong, Thailand** Azerbaijan, Armenia, Belarus, Kazakhstan, Kyrgyzstan, Moldova, Russia, Tajikistan, Turkmenistan, Uzbekistan and Ukraine.

㈜모르페우스의 6 가지 핵심 경쟁력

H/W

- Pattern projector module production technology

- Camera and scan system calibration

- Space encoding 3D data generation technology

- Optimization techniques for improving 3D data accu-

racy

- Camera image control and processing

- Embedded image processing board manufacturing

technology

- TCP/IP, USB data transfer hardware manufacturing

technology

- LED lighting control system manufacturing technology

- Camera and projector synchronization technology

- 3D data registration algorithm

- 3D data editing algorithm

(merge, decimation, deletion, triangulation, etc..)

- 3D data measurement algorithm

S/W, H/W 전반에 걸친 세계적 기술력

General Purposed3D Graphic Engine

8-years of development & field test

Support both OpenGL and DirectXScene graph management

Software / Hardware pickingKeyframe / Skeletal / Facial anima-

tionCluster / Lattice / Wire deformer

Spline curve & surfaceMesh sculpting

Advanced 3D Com-puter Graphics Tech-niquesMuscle-based character deforma-tion3D mesh deformation transferHigh quality skin shaderAutomatic superimposition of 3D scanned surfacesAutomatic facial feature detectionAutomatic facial profile line detec-tion from X-ray image

Volume Rendering Techniques

High quality real time rendering oflarge volume data set

Multi-volume fusion renderingHigh quality volume & polygon

fusion renderingHigh quality perspective

volume renderingIso-value surface extraction and

Decimation Volume sculpting

CT Image Processing Techniques

S/W

Automatic segmentation of maxilla and mandibleSemi-automatic segmentation of individual tooth/ dentine & pulp / inferior alveolar nerve canalAutomatic detection of the occlusion plane / temporo-mandibular jointRegistration of laser scan & CT images / follow-up CT images / pre- & post-operative CT imagesStitching of multiple CT imagesAutomatic reduction of metal artifacts from CT images

기술 / 학술 / 임상 / 사업 / 마케팅을 아우르는 압도적 맨파워

강력한 유저 그룹과 C&D 네트워크

250+ Sites for only 2 years

C&D (Connect & Development) Net-work

United States: UCSF Japan: TMDU

Korea: Seoul National Univ.,KyungHee Univ., etc.

(Pre-published)

탁월한 홍보 가치

Collaboration & Publicity• OnStyle <Get It Beauty> (Korean TV Beauty Show) • KBS <Family> (Korean TV Sitcom)

• Colorado's Best TV <Dr.Ken Oleszek Interview> (USA TV Show)

• Miss Korea 2012 (Korea)

• Miss Paraguay 2013 (Paraguay)

• CNN, SBS CNBC, Joins, etc. (News)

Part 2.

제품 구성

체에 무해한 LED 백색광 스캐너를 이용

촬영에서 정합까지 2 분이면 OK!진료의 수준과 신뢰도 , 고객의 만족도를 동시에 높일 수 있습니다

인 A. Neo (3D 안면스캐너 )

A. Neo (3D 안면스캐너 )

+ =

A. Neo (3D 안면스캐너 )SPECIFICATIONExternal Specification- Dimension: H390mm X W140mm X D240mm-Weight: about 3KG

Image Module Specification- Camera Resolution: 1024 x 768- Texture: 24bit True Color-Image Transfer Interface: IEEE 1394- Light Source: Power White LED- Input Power: AC 90 ~ 240 V- Power Consumption: 60W

Scan Module Specification- Scan Area: 225mm X 300mm- Scan Distance: about 650mm- Scan Time: 0.8 Sec- Scan Type: White Structured Light

PC Minimum Requirements- CPU: INTEL CORE i5-2500 3.3GHZ- RAM: 2GB DDR3 MEMORY- HDD: 500GB SATA / 7200 rpm- Graphic Card: GEFORCE GT520 D3 1GB PCI-Ex- OS: Windows 7

B. Morpheus3D Dental Solution & CT Viewer ( 모르페우스 3D 악교정솔루션 )

D 분석에서부터 3D 시뮬레이션 , 전후비교까지 - 3D VTO/STO 는 물론 , CT 뷰어를 이용한 Bone Surgery 시뮬레이션까지 -

경조직 변화에 따른 연조직의 정교한 변화를 동시에 확인 ,치료계획 수립은 물론 환자와의 커뮤니케이션을 보다 원활하게 도와

시술 / 수술 동의율과 만족도를 동시에 높여줍니다

2


• Patient Data Management • 2D Viewer • Volume Measurement• 3D Landmark Auto-detection

• Analysis(Lateral & PA)• Alignment(3D Face & 2D Ceph)• Digital Tracing(Lateral & PA)• Extra 3D Landmark• Facial Asymmetry Diagnosis

• Presentation

• Soft Tissue • Superimposition(Before & After)• Plastic Surgery Treatment (PS)• CT Module(Q4Launch/optional)• Treatment(Lateral & PA)


Morpheus Co., ltd Confidential and Proprietary

Thank You

Appendix 1.

악교정솔루션 기능 하이라이트

• Data management of 3D Face, lateral & PA cephs, and extra data(facial photos, intra-oral, cast model photos, etc.)

Patient Data Management

• 2D image viewer with various formats to store and view each patient’s data• Easy to use templates to enable smooth consultation with patient

2D Viewer

• Image viewer option to present additional treatment information

Presentation

3D Landmark Auto-detection• Auto-detection of 3D soft tissue landmarks • Auto-detection of head posture

• Quantitative volume measurement of the patient’s face

Volume Measurement

• Diagnosis based on axis, sagittal, axial, coronal reference planes

Facial Asymmetry Diagnosis

• Customized extra 3D landmark placement• Quantitative evaluation of changes after treatment

Extra 3D Landmark

Change of 3D Landmark

• Digital tracing on the patient’s lateral & PA cephalograms

Digital Tracing(Lateral & PA)

• 3D Face alignment with lateral cephalogram by adjusting 1 reference point• 3D Face alignment with PA cephalogram by adjusting the size, angle

and position.

Alignment(3D Face & 2D Ceph)

Analysis(Lateral & PA)• Digital analyses of Lateral & PA cephalograms

for orthodontics or orthognathic surgery • Analysis result views in chart form• User-customized analysis(Analysis Wizard)

Treatment(Lateral & PA)• Orthodontic treatment and orthognathic surgery simulation• Surgical treatment simulation for facial asymmetry• Changes applied in measurements(and vice versa)• Soft tissue changes immediately viewed

• Additional soft tissue changes of orthodontic treatment, orthognathic & plastic surgery • Soft tissue changes immediately viewed

Soft Tissue

2D Superimposition(Before vs After)• Before & after comparisons of treatment and surgery simulation (2D)

• Before & after comparisons of treatment and surgery simulation (3D)• Viewer options include followings. Compare window, Animation, Overlap,

Colormap(signed), Colormap(absolute), Contour line

3D Superimposition(Before & After)

Appendix 2.

CT 뷰어 기능 하이라이트


(Optional)

(2014 Launch)

(2014 Launch)


Face MergingAuto Registration 3D face with CT data


Face Merging

Auto Registration 3D face with CT data


Volume Segmentation

Easy Segmentation with Diverse Sculpting Functions


SSD (Shaded Surface Display) View

Making model object with sculpted part


CT Bone Surgery SimulationSoft Tissue Simulation using a model object


Coronal

Sagittal

Axial

Coronal

Axial

Coronal

+

Rotation

Lateral Ceph

+

RotationSagittal

Sagittal

Axial

PA Ceph

CT Bone Surgery SimulationSoft Tissue Simulation in parallel with object movement


Volume ViewSave as Various Types of Merging


Digital ImpressionTo be launched in 2014


“Accurate registration of a CBCT scan to a 3D facial photo-

graph”

(Abstract of AJODO Pre-published Manuscript)

Appendix

Introduction Registering a 3D facial surface scan to the Cone Beam Computed Tomography scan (CBCT) has various advantages. One major advantage is to compensate for inaccuracy of the CBCT surface data. However, when registering CBCT and 3D facial scans, changes in facial expression, spatial soft tissue changes, and differences in the patient positioning can decrease the accuracy of the registration. This study introduces a new 3D facial scanner that is combined with a CBCT apparatus. Our goal is to evaluate the registration accuracy of CBCT and 3D facial scans, which were taken with the shortest possible time lapse between the two scans.

Methods The experiment was performed on four subjects. The patient was instructed to hold as still as possible while the CBCT scan is taken and followed immediately by the 3D facial surface scan. The images were automatically registered with software. The accuracy was measured by determining the degree of agreement between the soft tissue surfaces of the CBCT and the 3D facial images.

Results The average surface discrepancy between the CBCT facial surface and 3D facial surface was 0.60mm (SD: 0.12). Registration accuracy was also visually verified by toggling between the images of the CBCT and 3D facial surface scans while rotating the registered images. Conclusions: Registration of CBCT and 3D facial images, which were consecutively taken, resulted in reliable accuracy.

Manuscript Number: AJADO-D-13-00228R2Title: Accurate registration of a CBCT scan to a 3D facial photograph)

Article Type: Techno BytesCorresponding Author: Kyeong-Yeon Nahm, MSD

Order of Author: Kyeong-Yeon Nahm, MSD; Tong Kim, MSD; Yong-Suk Choi, PhD; Jeongjin Lee, PhD; Seong-Un Kim, Ph.D; Gerald Nelson, DDS


“Registration of CT Volume & 3D Scan Sur-face”

(Based on Volumetric Distance Map Algorithm)

Appendix

3D Scan Surface VoxelizationTransform vertices of 3D scan surface into volxelsby applying one-voxel dilation.

Skin SegmentationExtract skin surface from CT volume by detecting air region.-1024 [HU] ~ -670 [HU] / 3D seeded region growing al-gorithm

Volumetric Distance Map Generation• Precompute distances from skin voxels to internal vox-els.• Chamfer distance transform algorithm - Distance map can be generated by traversing CT data twice.• Propagation distance transform algorithm - Only distances near skin surface are meaningful. - Limit distance by user defined threshold.

Registration Parameter Search• Average Surface Distance (ASD) between two surfaces

• Search registration parameters (Tx,Ty,Tx,Rx,Ry,Rz) that mini-mize ASD.• Optimization - Powell’s direction set method in multi-dimensions - Brent’s one-dimensional optimization algorithm - Use adaptive scheme

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악교정수술솔루션 소개서