Fusing Non Fusing Non- -Volumetric, Spatially Volumetric, - - PowerPoint PPT Presentation

fusing non fusing non volumetric spatially volumetric
SMART_READER_LITE
LIVE PREVIEW

Fusing Non Fusing Non- -Volumetric, Spatially Volumetric, - - PowerPoint PPT Presentation

Fusing Non Fusing Non- -Volumetric, Spatially Volumetric, Spatially- - Localized Data with Localized Data with V l V l Volumetric Data Volumetric Data i D i D Robert Weersink, Harsimran Braisch, Greg Bootsma David Jaffray Greg


slide-1
SLIDE 1

Fusing Non Fusing Non-

  • Volumetric, Spatially

Volumetric, Spatially-

  • Localized Data with

Localized Data with V l i D V l i D Volumetric Data Volumetric Data

Robert Weersink, Harsimran Braisch, Greg Bootsma David Jaffray Greg Bootsma, David Jaffray

slide-2
SLIDE 2

Comparison of Endoscopy & CT Comparison of Endoscopy & CT Comparison of Endoscopy & CT Comparison of Endoscopy & CT

  • CT

CT CT CT

  • High Resolution Volumetric

High Resolution Volumetric Anatomic Anatomic

  • Anatomic

Anatomic

  • Post

Post-

  • imaging Analysis

imaging Analysis

slide-3
SLIDE 3

Comparison of Endoscopy & CT Comparison of Endoscopy & CT Comparison of Endoscopy & CT Comparison of Endoscopy & CT

  • CT

CT CT CT

  • High Resolution Volumetric

High Resolution Volumetric Anatomic Anatomic

  • Anatomic

Anatomic

  • Post

Post-

  • imaging Analysis

imaging Analysis

O i l/ d i O i l/ d i

  • Optical/endoscopic

Optical/endoscopic

  • Topography, Texture,

Topography, Texture,

  • Colour/Contrast

Colour/Contrast

  • Real

Real-

  • time

time

slide-4
SLIDE 4

Advantages of Combining Advantages of Combining

  • CT

CT & & Optical/endoscopic Optical/endoscopic imaging provide imaging provide complimentary data complimentary data p y p y

  • Future combined CT/Optical Probes will require “co

Future combined CT/Optical Probes will require “co-

  • visualization”

visualization”

Puts molecular info into context of anatomical & functional information

Puts molecular info into context of anatomical & functional information

slide-5
SLIDE 5

App 1: Head & Neck RT Planning App 1: Head & Neck RT Planning App 1: Head & Neck RT Planning App 1: Head & Neck RT Planning

Diagnosis & margins more Diagnosis & margins more l l id ifi d d d fi d i l l id ifi d d d fi d i Treatment Planning & delivery Treatment Planning & delivery b d 3D D b d 3D D clearly identified and defined in clearly identified and defined in 2D Optical Domain 2D Optical Domain based on 3D Data based on 3D Data

Glottic

Data Fusion 2D 3D

Glottic

2D to 3D

Floor of Mouth

slide-6
SLIDE 6

App 2: Surgical Guidance App 2: Surgical Guidance App 2: Surgical Guidance App 2: Surgical Guidance

Diagnosis & margins defined in Diagnosis & margins defined in Laparoscopic surgery requires Laparoscopic surgery requires i i f i i f g g g g 3D CT Domain 3D CT Domain accurate registration of scope accurate registration of scope (& image) to CT (& image) to CT Data Fusion 3D to 2D 3D to 2D

slide-7
SLIDE 7

Technology Challenges Technology Challenges Technology Challenges Technology Challenges

R i t ti F i C i li ti Registration Fusion Co-visualization

slide-8
SLIDE 8

Electro Magnetic Tracking: Electro Magnetic Tracking:

While using a magnetic field generator, location of an object can be found using sensor coils that induce a voltage while in the presence of a varying magnetic field. magnetic field.

NDI Aurora System

Northern Digital. 2008

slide-9
SLIDE 9

Registration Registration Registration Registration

  • Combining Multiple Coordinate Systems

Combining Multiple Coordinate Systems

Tip of Endoscope

CT CS

CAMERA CS SENSOR WORLD CS SENSOR CS WORLD CS

slide-10
SLIDE 10

Integration & Registration

Coronal View Simultaneous Video Rendered View with Tracking Tip Axial View

slide-11
SLIDE 11

Integration & Registration Integration & Registration

slide-12
SLIDE 12

Spatial Accuracy Tests Spatial Accuracy Tests

  • Template used to position the 6D sensor at known

iti ( 50 X 50 X 100 )

  • positions. (every 50 X 50 X 100 mm)
  • Repeated measurements to Assess Precision,

R d ibilit A

x

Reproducibility, Accuracy

  • Precision:

Precision: ±0 04 mm 0 04 mm

y

Positioning Plate Generator

  • Precision:

Precision: ±0.04 mm 0.04 mm

  • Reproducibility:

Reproducibility: ± ±0.09 mm 0.09 mm

y z

slide-13
SLIDE 13

Accuracy Accuracy

200

Original Measurements Systemic position error Systemic position error Transformed Measurements

200 100 150

y p y p corrected by applying a corrected by applying a polynomial transformation polynomial transformation to measured data to measured data

100 150

m)

  • 50

50

to measured data to measured data Position Error Position Error

  • 50

50

ition (mm

  • 150
  • 100

Original Original ± ± 8.8 mm 8.8 mm Transformed Transformed ± ± 3.6 mm 3.6 mm

  • 150
  • 100

Y Posi

  • 250
  • 200

100 200 300 400 500

  • 250
  • 200

100 200 300 400 500

Z Position (mm)

slide-14
SLIDE 14

Camera Calibration Camera Calibration Camera Calibration Camera Calibration

  • For focus aberations etc

For focus aberations etc For focus, aberations, etc. For focus, aberations, etc.

  • Necessary for comparison with 3D data

Necessary for comparison with 3D data Method:

C pt r ri Capture a series

  • f Test Images as

Known Targets; Known Targets; Calculate optical parameters

slide-15
SLIDE 15

Camera Calibration Camera Calibration

  • Necessary for Focus and Distortion correction based on
  • xd = (1 + kar2 + kbr4)xn; r2 = x2 + y2

d

(

a b ) n;

y

O Y O

Original images: Corners identified, arrows showing distortion

Y X Y O X Y O X O X O

Corrected images

slide-16
SLIDE 16

Future (Long Term) Steps . . . Future (Long Term) Steps . . . Future (Long Term) Steps . . . Future (Long Term) Steps . . .

  • Addition of Targeted Probes

Addition of Targeted Probes

  • Combined Fluorescence & CT contrast

Combined Fluorescence & CT contrast

  • Creation of 3D images from multiple 2D images

Creation of 3D images from multiple 2D images

  • Surface contouring from scope images overlayed on to CT

Surface contouring from scope images overlayed on to CT

  • Integrating other data: i.e. database of other clinically

Integrating other data: i.e. database of other clinically l t d t l t d t relevant data relevant data

  • Biopsies, microscope imaging, etc.

Biopsies, microscope imaging, etc.

  • Clinical Testing

Clinical Testing

  • Clinical Testing

Clinical Testing

  • RT planning for H&N; Endoluminal; Lung Surgical

RT planning for H&N; Endoluminal; Lung Surgical Guidance Guidance

slide-17
SLIDE 17

Tissue Fluorescence Tissue Fluorescence Tissue Fluorescence Tissue Fluorescence

  • Current: Autofluorescence

Current: Autofluorescence

  • Future: Fluorescent

Future: Fluorescent for disease detection for disease detection molecular contrast agents molecular contrast agents

Prescan Prescan

Targeting HDL nanocarrier to folate receptors: G. Zhang

slide-18
SLIDE 18

Multiple 2D Images to 3D Multiple 2D Images to 3D

Round surfaces of tissue may make this difficult

Srikumar Ramalingam Chunxiao Zhou Department of Computer Science Department of Computer Engineering University of California, Santa Cruz

Round surfaces of tissue may make this difficult

slide-19
SLIDE 19

Steps to Clinical Studies Steps to Clinical Studies Steps to Clinical Studies Steps to Clinical Studies

  • Head & Neck:

Head & Neck: Head & Neck: Head & Neck:

  • Surgery (J. Irish)

Surgery (J. Irish) Radiation Treatment planning (Andrew Hope) Radiation Treatment planning (Andrew Hope)

  • Radiation Treatment planning (Andrew Hope)

Radiation Treatment planning (Andrew Hope)

  • Lung:

Lung:

  • Surgery (A. Pierre)

Surgery (A. Pierre)

  • Evaluation with clinicians on best visualization

Evaluation with clinicians on best visualization methods methods

  • Likely will be different for each indication

Likely will be different for each indication

slide-20
SLIDE 20

Acknowledgments Acknowledgments Acknowledgments Acknowledgments

  • Ralph DaCosta Greg Bootsma Harsimran

Ralph DaCosta Greg Bootsma Harsimran Ralph DaCosta, Greg Bootsma, Harsimran Ralph DaCosta, Greg Bootsma, Harsimran Braisch, Jeff Siewerdsen, David Jaffray Braisch, Jeff Siewerdsen, David Jaffray

  • Ontario Institute of Cancer Research

Ontario Institute of Cancer Research 1 mm 1 mm

  • Ontario Institute of Cancer Research

Ontario Institute of Cancer Research – 1 mm 1 mm Challenge Challenge G id d Th i P G id d Th i P

  • Guided Therapeutics Program

Guided Therapeutics Program

GTX

Create Innovate Translate Evaluate