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Tracking Objects of Interest from CT/MR Data using Dynamic 3D
Tracking Objects of Interest from CT/MR Data using Dynamic 3D
Outline
Outline
Problem Statement
Problem Statement
Problem
Problem
Overview of Proposal
Overview of Proposal
Background & Significance
Background & Significance
Overall Aims
Overall Aims
Image Acquisition – 3D Ultrasound
Image Acquisition – 3D Ultrasound
What is Ultrasound
What is Ultrasound
Ultrasound Images (Breast)
Ultrasound Images (Breast)
3D Ultrasound – Background
3D Ultrasound – Background
3D Ultrasound - System
3D Ultrasound - System
3D Ultrasound - Output
3D Ultrasound - Output
3D Ultrasound - Output
3D Ultrasound - Output
3D Ultrasound - Output
3D Ultrasound - Output
3D Ultrasound - Post Processing
3D Ultrasound - Post Processing
3D Ultrasound - Conversion
3D Ultrasound - Conversion
3D Ultrasound - Conversion
3D Ultrasound - Conversion
3D Ultrasound - Conversion
3D Ultrasound - Conversion
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Post-Processing
3D Ultrasound – Summary
3D Ultrasound – Summary
Image Acquisition - MRI / CT
Image Acquisition - MRI / CT
What is MRI
What is MRI
GE MRI machine
GE MRI machine
What is CT
What is CT
MRI/CT Images (Breast)
MRI/CT Images (Breast)
Image Segmentation MRI
Image Segmentation MRI
MRI Segmentation
MRI Segmentation
Example
Example
Example (cont
Example (cont
Image Registration
Image Registration
Registration
Registration
Example
Example
Example (cont
Example (cont
Example (cont
Example (cont
Problems, Proposed Solutions and Future Work
Problems, Proposed Solutions and Future Work
Problems
Problems
Proposed Solutions - Phantoms
Proposed Solutions - Phantoms
Proposed Solutions - Ultrasound
Proposed Solutions - Ultrasound
Proposed Solutions - Registration
Proposed Solutions - Registration
Competitors
Competitors
Future Work
Future Work
Conclusion
Conclusion
Thank You
Thank You

Презентация на тему: «Tracking Objects of Interest from CTMR Data using Dynamic 3D Ultrasound». Автор: m. Файл: «Tracking Objects of Interest from CTMR Data using Dynamic 3D Ultrasound.ppt». Размер zip-архива: 4313 КБ.

Tracking Objects of Interest from CTMR Data using Dynamic 3D Ultrasound

содержание презентации «Tracking Objects of Interest from CTMR Data using Dynamic 3D Ultrasound.ppt»
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1 Tracking Objects of Interest from CT/MR Data using Dynamic 3D

Tracking Objects of Interest from CT/MR Data using Dynamic 3D

Ultrasound http://ssim.eng.wayne.edu/ssimi/cares/classes/group7/group7.html

Group 6: Michael Shetliffe Mohammad Yaqub Mohammed Alam

2 Outline

Outline

Problem Statement Background & Significance Overall Aims Methods Ultrasound MRI Registration Results Problems Solutions Competition Future Work Conclusion

3 Problem Statement

Problem Statement

4 Problem

Problem

There is a critical need to update information based on changes occurring during surgery. Changes: Shift Deformation Vascular movement

5 Overview of Proposal

Overview of Proposal

The overall objective of this proposal is to show feasibility and develop a cost-effective and efficient approach to monitor and predict deformation during surgery, allowing accurate, and real-time intra-operative information to be provided reliably to the surgeon. The central hypothesis is that deformation can be followed intra-operatively using ultrasound technology.

6 Background & Significance

Background & Significance

Approaches to update the pre-op data: Intra-operative MR Obtain updated (lower-resolution) MR data Costly, significant setup time, OR compatibility considerations Finite Element modeling of surrounding tissues Challenges of parameter estimation Parameter variation with physiologic changes Long computation times Use 3D Ultrasound Convenient, safe, cheap

7 Overall Aims

Overall Aims

Image Acquisition

Segmentation

Registration

Evaluate the effectiveness, accuracy, and usefulness of any techniques that were used

Testing the method

US

CT

MR

8 Image Acquisition – 3D Ultrasound

Image Acquisition – 3D Ultrasound

9 What is Ultrasound

What is Ultrasound

High-energy sound waves (ultrasound) are bounced off internal tissues or organs and make echoes. (2-13 MHz) Pros: Non invasive Real time imaging Cons: Cannot image bony structures Poor native resolution Image depends on time to echo (pixel position) and echo strength (pixel intensity)

10 Ultrasound Images (Breast)

Ultrasound Images (Breast)

Spurious Artifacts

Objects of Interest

Characteristic US Noise

Bench Surface Reflection

11 3D Ultrasound – Background

3D Ultrasound – Background

3D Ultrasound: Tracks 2D ultrasound probe to build 3D volume from ultrasound “slices” Can use conventional, portable ultrasound equipment to obtain 3D volumes Still relies on ultrasonic backscattering from tissue structures ? intrinsically noisy ? Image Processing becomes especially important

12 3D Ultrasound - System

3D Ultrasound - System

“Stradx” Software

2D Ultrasound

Slices in 3D Space

Polaris Tracking System

2D Screen Frames

Frames / sec & Probe Motion

Probe 3D Position

13 3D Ultrasound - Output

3D Ultrasound - Output

Output from Stradx: .sx file: Text-based file containing 3D positions, orientations, sizes, times, etc. of individual 2D slices .sxi file: Binary file of 8-bit pixel values What we need: 3D image data in “conventional” format (e.g. dicom, Analyze) that can be read into other systems for processing (Prior to starting this project, it was thought that this was what we would have.)

14 3D Ultrasound - Output

3D Ultrasound - Output

Examples:

1-Pass Probe Motion

15 3D Ultrasound - Output

3D Ultrasound - Output

Examples: 2-pass had problems with “inter-pass” alignment

2-Pass Probe Motion

16 3D Ultrasound - Post Processing

3D Ultrasound - Post Processing

17 3D Ultrasound - Conversion

3D Ultrasound - Conversion

2 Additional Tools (Provided as part of the Stradx distribution): SelectSX: (adjust for data too “dense”) StackSX: (create evenly spaced, uniformly aligned slices)

18 3D Ultrasound - Conversion

3D Ultrasound - Conversion

Read new .sx file as “Raw” 8-bit data into a medical imaging tool (xmedcon, osirix, 3d-slicer)

Region of Interest moves within resliced image between slices.

19 3D Ultrasound - Conversion

3D Ultrasound - Conversion

At this point, we can treat our US data as a standard set of images, and export to other convenient formats

Slice separation distance determined from .sx file position data.

20 3D Ultrasound – Post-Processing

3D Ultrasound – Post-Processing

Basic Objectives: Reduce background noise Segment (or at least highlight) object(s) of interest Approach: Stradx has some inbuilt segmentation/registration capabilities – not used Used MATLAB to investigate feasible techniques that could later be integrated into a stand-alone system.

21 3D Ultrasound – Post-Processing

3D Ultrasound – Post-Processing

Noise Reduction Techniques:

Original Image

Median Filter

Gaussian Blur

22 3D Ultrasound – Post-Processing

3D Ultrasound – Post-Processing

Noise Reduction Techniques:

Original Image

Median Filter

Gaussian Blur

23 3D Ultrasound – Post-Processing

3D Ultrasound – Post-Processing

Noise Reduction Techniques:

Original Image

Median Filter

Gaussian Blur

24 3D Ultrasound – Summary

3D Ultrasound – Summary

In this portion of work we have: Acquired updated ultrasound image data that better meets our requirements for working with objects of interest. Converted the image data to formats that can be easily used in a wide variety of medical imaging systems. Processed the ultrasound image data to enable higher quality results from subsequent registration with other modalities.

25 Image Acquisition - MRI / CT

Image Acquisition - MRI / CT

26 What is MRI

What is MRI

MRI stands for Magnetic Resonance Imaging. The MR images used to image internal structures of the body, particularly the soft tissues. We used GE 4 tesla MRI machine to get some MR images for the phantom we have.

MR brain image

27 GE MRI machine

GE MRI machine

28 What is CT

What is CT

CT stands for Computed Tomography. CT image is a specialized form of x-ray imaging. It shows bony structures. We used CT images in our project. It did not give good results.

CT brain image

29 MRI/CT Images (Breast)

MRI/CT Images (Breast)

MR T-1 Images

MR T-2 Images

CT Images

No internal information

No big difference because the phantom is MR incompatible

30 Image Segmentation MRI

Image Segmentation MRI

31 MRI Segmentation

MRI Segmentation

No quantitative phantom information. Introduce artificial shift of objects of interest. We did the movement using a manual linear interpolation method. Segmentation Object matching Thresholding

32 Example

Example

Original MRI slice

Manually shifted object of interest

33 Example (cont

Example (cont

Original segmented object of interest inside an MR image

Automatically segmented object of interest inside the shifted MR image

34 Image Registration

Image Registration

35 Registration

Registration

Registering different modalities: Original MR to shifted MR Original MR to CT Original MR to Ultrasound Manual landmark. An automated registration - mutual information. Need more human interaction.

36 Example

Example

Original fixed modality

Moving modality (The Shifted object of interest)

37 Example (cont

Example (cont

Original object of interest

shifted object of interest

A slice that contains the registered data Showing both the original & the shifted points

38 Example (cont

Example (cont

MR image with three objects

Ultrasound image with three objects

Need for deformable registration method

39 Problems, Proposed Solutions and Future Work

Problems, Proposed Solutions and Future Work

40 Problems

Problems

Phantom Echo-sensitive material Water Content MRI Compatible Atlas Ultrasound Quality of Images System Calibration Registration

41 Proposed Solutions - Phantoms

Proposed Solutions - Phantoms

Multi modality Phantoms - $ 2000.00

42 Proposed Solutions - Ultrasound

Proposed Solutions - Ultrasound

Better Ultrasound Transducer

43 Proposed Solutions - Registration

Proposed Solutions - Registration

Existing Research

44 Competitors

Competitors

Ultrasound Probes - Philips, Siemens, GE Registration Techniques – Related research available Overall Intraoperative Tracking System using Ultrasound – GE Overall Intraoperative Tracking System using Ultrasound +preop MRI - ????

45 Future Work

Future Work

Research areas Better post processing of US images Newer registration techniques Faster and effective calibration methods Bring all individual modules to work as a single system Testing and evaluation techniques

46 Conclusion

Conclusion

A very feasible and highly applicable research area. Cost effective when compared to I-MRI Relatively “real time” data Accuracy from fusion with pre-op MR Improved surgical outcome Works in current clinical settings Adaptable to other surgical procedures involving: Brain Breast Prostate Others …

47 Thank You

Thank You

http://ssim.eng.wayne.edu/ssimi/cares/classes/group7/group7.html

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