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ADVANCES IN MEDICAL ULTRASOUND LABORATORY
Mingyue DingSchool of Life Sci. & Tech.
Huazhong University of Sci. & Tech. Wuhan, China
12/6/2011
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Outlines
Introduction to MUL Research areas of MUL Advances in MULFuture works
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Introduction to MUL Research areas of MUL Advances in MULFuture works
Where we come from?
Wuhan
Beijing
HongKong
Shanghai
MUL was founded in January 2006. It is part of Bio-Medical Imaging Center, Department of Bio-medical Engineering, School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, China.It is also one of the laboratories of “Image Processing and Intelligence Control” Key Laboratory of Education Ministry of China.
Medical Ultrasound Laboratory
Mission of MUL
Devote to study the theory and technologies of ultrasound imaging which can be used in medicine or biology, especially the methods, systems or software with great potential possibility to be employed in clinics and medical equipment manufacturers. Educate the expertise in medical ultrasound imaging area.
People in MUL
6 faculty members
1 post-doctor fellow
1 visiting scholar
16 PHD candidates
24 master students
Yuan Yun, Associate [email protected]
Mingyue Ding, [email protected]
Director
Ming Yuchi, Associate Professor [email protected] Xuming Zhang, Associate Professor,
Wenguang Hou, [email protected]
Faculty in MUL
N/A
Longhui Wang, Lecturer,[email protected]
Part of MUL people in September 2010
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Introduction to MUL Research areas of MUL Advances in MULFuture works
Route map of MUL Research
Clinic
Subject development
Product-oriented Technology Innovation
Simulation & Probe design
General platform development:
1.Hardware2.Software3.Prototype product
Clinic software development &
commercialization
MULJoint-LAB Company
Hospitals
Main research areas in MUL
Ultrasound simulation and probe designGroup leader: Dr. Yuchi Ming
Ultrasound hardware system and image processingGroup leader: Dr. Xuming Zhang
Ultrasound software and imaging technologyGroup leader: Dr. Wenguang Hou
Ultrasound applicationsGroup leader: Prof. Mingyue Ding
Ultrasound simulation & probe design
Ultrasound wave field computation and simulation (Song Xie, Shaoyan Hua)Echo emission and receiving focusing (Mengling Xu)Probe design (Jian Qi, Yinmin Chen)X-wave based high-frame rate imaging technology (Yaqin Li)
Group I
Ultrasound hardware & image processing
Multi-DSP image processing (Fumin Guo Xu Li)Step motor driving & control (Fumin Guo Xu Li))Ultrasound image de-noising (Yi ZhanRuixia Ma, Musab)Image registration (Feng Yang)
Group II
Ultrasound software & imaging technology
GPU-based volume renderingJunhong Wang
3D ultrasound image reconstruction Song Wu
Ultrasound applications
Liver cancer early diagnosis based on perfusion of contrast agent ultrasound imaging (Ji Zhang, Longhui Wang) Image guided biopsy of urology cancer (Yimin Chen)Research on atherosclerosis based on carotid 3D ultrasound imaging Xin Yang, Jiaoying Jin, Rui Wang, Jieyu Chen, He LiLiver cancer early diagnosis based on targeted nano-particle contrast agent ultrasound imaging(Jing Li, Kaizhi Wu)
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Introduction to MUL Research areas of MUL Advances in MULFuture works
3D ultrasound system used for hysteromyoma RF ablation, Wuhan BBT Corporation,2006
Computer aided diagnosis of liver cancer using B-mode ultrasound images, Beijing Teknova Corporation, 2007
Computer aided diagnosis of liver cancer using B-mode ultrasound images, Key Foundation of Natural Science, Huazhong University of Science and Technology, 2007
3D ultrasound imaging technology and applied software development, Wuhan Dzyaho Inc., 2008
Research on the methods of liver cancer computer aided diagnosis based on 3D medical image and surgery planning, National 863 project, 2009
The projects within 5 yrs
The projects within 5 yrs(con’t)
Research on electrode localization in hysteromyoma RF ablation, Research Fund for the Doctoral Program of Higher Education of China,2009
3D ultrasound imaging system used for hysteromyoma diagnosis and surgery planning, Innovative intelligence develop fund of Wuhan City, 2009
Medical image feature quantization analysis system, International Exchange Project of Ministry of Science and Technology of China, 2009.
Research on 3D medical probe technology, Key Project of Natural Science Foundation of Hubei Province, 2009
Atherosclerosis analysis based on carotid 3D ultrasound imaging, Sino-Canadian International research Cooperation Project of Natural Science Foundation of China, 2010
Clinic trial for prostate biopsy based on 3D ultrasound guidance, Foundation of Inter-disciplines, Huazhong University of Science and Technology, 2010
Color Doppler 3D ultrasound imaging system, Science and Technology Project of Wuhan City, 2010
On-going projects
3D medical ultrasound imaging technology and its commercialization, 6th Creative technology and creative business Leader Fund of Changzhou City, Jiangsu Province, China, 2010
In-vivo and in vitro evaluation of targeted nano-particle for liver cancer eraly diagnosis, National 973 Project grant 2011CB933100 2011
Development of Diagnosis and surgery integrated system based on intravascular ultrasound imaging, Wuhan Yangsheng Bio-technology Inc., 2010
On-going projects (con’t)
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Book chapters
1 Z. Wei, M. Ding, D.B. Downey, A. Fenster. Recent Advances in TRUS Guided Prostate Brachytherapy. In: O. Ukimura, I. S. Gill, editors. Contemporary Interventional Ultrasonography in Urology. Dekker Publishers, ISBN: 978-1-84800-216-6, November 2008, pp.25-40
2. A. Fenster, H. M. Ladak, M. Ding, Chapter 10 Deformable model based segmentation of prostrate from ultrasound images, Parametric and Geometric Deformable Models: An application in Biomaterials and Medical Imagery, Volume-II, Edited by Jasjit S. Suri and Aly Farag, Springer Verlag, ISBN: 0-387-31204-8, 2007.
3. A. Fenster, M. Ding, N. Hu, H. M. Ladak, G. Li, N. Cardinal and D. B. Downey, Chapter 8: Visualization and Segmentation Techniques in 3-D Ultrasound Images, Computer vision beyond the visible spectrum, Edited by Bir Bhanu and Ioannis Pavlids, Springer Verlag, pp. 241-269, ISBN: 1-85233-604-8, November 2004.
SCI-cited papers
M. Ding and A. Fenster, A real time biopsy needle segmentation technique using Hough transform, Medical Physics, 30(8):2222-2233, 2003 .(IF=3.2) M. Ding, et al, Automatic Needle Segmentation in 3D Ultrasound Images using Orthogonal 2D Image Projections, Medical Physics, 30(2):222-234, 2003. (IF=3.2)M. Ding, A. Fenster, Projection-based Needle Segmentation in 3D Ultrasound Images, Computer Aided Surgery, 9(4):1-9, 2004. (IF=1.21).M. Ding, et al, Needle and seed segmentation in intra-operative ultrasound-guided prostate brachytherapy, Ultrasonics, 44: e331-e336,2006.(IF=0.56)M. Ding, et al, Fast Prostate Segmentation in 3D TRUS Images Basedon Continuity Constraint Using an Autoregressive Model, Medical Physics, 34(11):4109-4125, 2007.(IF=3.2)
SCI-cited papers(con’t)
L. Lou, M. Ding, Principle and approach of boundary extraction based on particle motion in quantum mechanics, Optical Engineering, 46(2), 2007, pp: 027005-1-027005-16. (IF=0.84)X. –W. Fu, M. –Y. Ding and C. Cai, , Despeckling of medical ultrasound images based on quantum-inspired adaptive threshold, Electronics Letters, June 2010, 46(13):889-890.(IF=1.12)Ji Zhang, Mingyue Ding, Fan Meng, et al., Respiratory motion correction in free-breathing ultrasound image sequence for quantification of hepatic perfusion, Medical Physics, 38(11), 4737-4748, 2011.(IF=3.2)
Ji Zhang, a PHD candidate from MUL, received the Best Student Paper Award from SPIE Medical Imaging Conference in February 2010.
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Awards
Awards(con’t)
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1st Generation Rotation system
Cooperated with Wuhan BBT Medical Equipment Inc., 2006
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2nd Generation3D US workstation
58th CMEF Chengdu China, Oct. 24-27, 2007Allsee2007 3D US WorkstationAcuson 128XP
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Wuhan Union Hospital
Bladder Liver tumor
Patient 3D ultrasound image
3rd Generation Digital 3D ultrasound scanner
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AllSee2008 digital 3D ultrasound scanner cooperated with Beijing Teknova Corp. 2008 59th CMEFShenzhen China, April 2008.
Fetus phantom
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Patient data
Spine of fetus Wuhan Union Hospital
Interventional surgery guidance
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High frequency and array probe
32 element s 93MHz linear transducer 8×8 20MHz array transducer
Abdominal probeTransrectal Ultrasound probe
3D ultrasound imaging system
DAS MV MV+CF DAS MV MV+CF
DAS: Delay And Sum MV: Minimum variance CF: Correlation Factor
2D ultrasound reconstruction
Point phantom
(a) DAS (b) PCF (c) SCF (d) PDCFDAS: delay-and-sum; PCF: phase coherence factor; SCF: sign coherence factor; PDCF: phase diversity coherence factor. 60dB range
(a) DAS_STA (b) PCF_STA (c) SCF_STA (d) PDCF_STA. 80dB range. STA: synthetic transmit aperture
Cyst phantom
(a) DAS_STA (b) PCF_STA (c) SCF_STA (d) PDCF_STA. 80dB range
Heart phantom
(a) DAS_STA (b) PCF_STA (c) SCF_STA (d) PDCF_STA. 80dB range
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Introduction to MUL Research areas of MUL Advances in MULFuture works
2D image reconstruction by Synthetic Apertures Ultrasound
Problem of image optimization with high contrast, resolution, SNR and low side lobe.
Solution:
Adaptive focusing
SAR?
Problem 1
Small size 2D array probe 24×24
Problem of connecting cables.
Solution:
Lower sample-partial data reconstruction (CS?)
Small hardware on the probe
Problem2
Reconstruction of ultrasound CT image
Problem of computational time and artifacts.
Solution:
Assumption about the grey levels in image
New algorithm?
Problem 3
Ultrasound CT experiment setup
Synthetic phantom
The reconstructed images for a 128x128 Shepp-Logan phantom, with 64 projections: A) Bilinear interpolation, B) Bicubic interpolation, C)
Backprojection.
A cross sectional plot for the images shown in previous figure through the line LL'.
Agar phantom with olive
Photograph of the agar phantom including olive
Agar phantom with water
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