Design of a Hadamard Transform Spectral Imaging System for Brain Tumor Resection Guidance Paul...

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Design of a Hadamard Transform Spectral Imaging System for Brain Tumor Resection Guidance Paul Holcomb, Tasha Nalywajko, Melissa Walden Advisors: Anita Mahadevan-Jansen, Ph.D.; Paul King, Ph.D.; Steven Gebhart Construct imaging system using digital micro-mirror device and Hadamard transform for use with operating microscope in a clinical setting Design Objective Problem Definition Current 3D imaging systems for brain surgery are too slow and possess too low of a resolution to be effective in an operating room setting Why is this important? • Over 18,000 people diagnosed with brain tumors every year; 71% mortality rate • Correlation between complete resectioning of tumors and improved prognosis • Complete resectioning requires knowing the location of the tumor, especially tumor margins • Imaging in a clinical setting Benign tumor Primary malignant Secondary malignant Cost/Benefit Analysis • Costs: – OR cost: $10K - $15K per surgery (depending on length) – ICU: $2152/24 hrs – Floor: $1360/24 hrs – Time spent in surgery – Time spent recovering: •1 week in hospital •4-8 weeks rest before resuming full activities Comparison of prognosis based on percentage of tumor resection from low grade GBM patients LaCroix et al. “A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and survival”, J. Neurosurg. Vol. 95 (2001); pp. 190-198. •Patient benefits: –Increased prognosis –Shorter surgery time –Less time in hospital (ICU or floor) –Less post-surgical treatment required Time C ost Time C ost Operating Room 2.91 hr $14,550 2.25 hr $11,250 IC U bed 2 days $4,304 2 days $4,304 Floorbed 3 days $4,080 2 days $2,720 Totals 6 days $22,934 5 days $18,274 D ifference $4,660 W ith two pathology testingsand old system W ithno pathology testingsand new system Comparison of tumor resection costs with and without Hadamard transform spectral imaging Proof of Principle •Spectral difference between tumor tissue and healthy tissue •Point source measurements taken in vitro and in vivo •Five sites measured by diffuse reflectance and confirmed by pathology as cancerous were missed by MRI Lin et al. “In vivo brain tumor demarcation using optical spectroscopy”, J Photochemistry and Photobiology, Vol. 73 (2001); pp. 396- 402. Demarcation of healthy brain tissue and tumor margins in vivo using point source measurement of diffuse reflectance Design Criteria Must produce an image quickly Must accurately reproduce area of interest in the brain Must distinguish healthy versus tumor tissue Must be small enough to be usable in an operating room setting Must interface with operating microscope Hadamard Transform and DMD Hadamard Matrix Example Inverse Hadamard Transform Digital Micro-mirror Device Comparison of Fourier (left) and Hadamard imaging of a satellite photo. Wuttig and Riesenburg, “Sensitive Hadamard Transform Imaging Spectrometer” • SNR with Hadamard: √n • SNR with S-Matrix: (√n)/2 System Diagram 1 1 1 1 -1 -1 -1 -1 Collect reflected light, demagnify to less than 10mm square, and focus on DMD (Stage 1) Illuminate sample with white light Apply Hadamard matrix (or S Matrix) using DMD Compress image to 160um x 8.2mm line (Stage 2) Disperse light spectrally using spectrograph and collect image using CCD camera (Stage 3) Apply inverse Hadamard transform using computer X Y Spectrum Future Directions Acknowledgement s We would like to thank Dr. Anita Mahadevan-Jansen, Steve Gebhart, and Dr. Paul King for their support in this endeavor. This project was made possible by the ___ grant. • Compression stage needs to be redesigned due to the diffuse nature of the image source • CCD camera needs to be replaced • Spectrograph needs to be modified to collect the desired wavelength range and to interface with new CCD camera • System needs to be reduced in size for use in operating room k k k k H k H , 1 , 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 4 H Light Source & Test Image • Diffuse white light source used to illuminate sample • Light box with 100mm focal length lens aperture used to focus white light and remove stray light interference from white light source • Initial test image for focusing is a 3mm x 10mm line drawn on white optical flat Light box (left) containing white light source and lens for focusing light on optical flat with test image (red circle, right) Stage 1 Design • Camera lens (28mm focal length) collects diffuse reflectance from flat at a distance of 8” (203.2mm) • Black flat installed around camera lens to block stray reflected light from test source •50mm focal length achromatic doublet lens focuses collected light from the camera lens onto the DMD Left: Camera lens from Stage 1 (left) integrated into light source & test image setup Right: Stage 1 setup including camera lens (left), focusing lens (middle) and DMD (right) DMD & Stages 2/3 Design • Digital micro-mirror device integrated into the main system after Stage 1 to apply the Hadamard matrix (or S-matrix) • Stage 2 image compression system initially designed to function with collimated light, and is currently being redesigned • New CCD camera on order, spectrograph currently being refit to accommodate system requirements and CCD camera in Stage 3 Digital micro-mirror device and control circuitry for computer interface

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Page 1: Design of a Hadamard Transform Spectral Imaging System for Brain Tumor Resection Guidance Paul Holcomb, Tasha Nalywajko, Melissa Walden Advisors: Anita.

Design of a Hadamard Transform Spectral Imaging System for Brain Tumor Resection Guidance

Paul Holcomb, Tasha Nalywajko, Melissa WaldenAdvisors: Anita Mahadevan-Jansen, Ph.D.; Paul King, Ph.D.; Steven Gebhart

Construct imaging system using digital micro-mirror device and Hadamard transform for use with operating microscope in a clinical setting

Design ObjectiveProblem Definition

Current 3D imaging systems for brain surgery are too slow and possess too low of a resolution to be effective in an operating room setting

Why is this important?

• Over 18,000 people diagnosed with brain tumors every year; 71% mortality rate

• Correlation between complete resectioning of tumors and improved prognosis

• Complete resectioning requires knowing the location of the tumor, especially tumor margins

• Imaging in a clinical setting should be fast

Benign tumor

Primary malignant

Secondary malignant

Cost/Benefit Analysis

• Costs:– OR cost: $10K - $15K per surgery (depending

on length)– ICU: $2152/24 hrs– Floor: $1360/24 hrs– Time spent in surgery– Time spent recovering:

• 1 week in hospital• 4-8 weeks rest before resuming full

activities

Comparison of prognosis based on percentage of tumor resection from low

grade GBM patients

LaCroix et al. “A multivariate analysis of 416 patients with glioblastoma multiforme: prognosis, extent of resection, and

survival”, J. Neurosurg. Vol. 95 (2001); pp. 190-198.

•Patient benefits:–Increased prognosis–Shorter surgery time–Less time in hospital (ICU or floor)–Less post-surgical treatment required

Time Cost Time CostOperating

Room 2.91 hr $14,550 2.25 hr $11,250 ICU bed 2 days $4,304 2 days $4,304 Floor bed 3 days $4,080 2 days $2,720 Totals 6 days $22,934 5 days $18,274

Difference $4,660

With two pathology testings and old

system

With no pathology testings and new

system

Comparison of tumor resection costs with and without Hadamard transform

spectral imagingProof of Principle

•Spectral difference between tumor tissue and healthy tissue

•Point source measurements taken in vitro and in vivo

•Five sites measured by diffuse reflectance and confirmed by pathology as cancerous were missed by MRI

Lin et al. “In vivo brain tumor demarcation using optical spectroscopy”, J Photochemistry and Photobiology, Vol. 73 (2001); pp. 396-402.

Demarcation of healthy brain tissue and tumor margins in vivo using point source measurement of diffuse reflectance

Design Criteria

• Must produce an image quickly• Must accurately reproduce area of interest in the brain• Must distinguish healthy versus tumor tissue• Must be small enough to be usable in an operating room setting• Must interface with operating microscope

Hadamard Transform and DMD

Hadamard Matrix Example

Inverse Hadamard Transform

Digital Micro-mirror Device

Comparison of Fourier (left) and Hadamard imaging of a satellite photo.Wuttig and Riesenburg, “Sensitive Hadamard Transform Imaging Spectrometer”

• SNR with Hadamard: √n • SNR with S-Matrix: (√n)/2

System Diagram

1

1

1

1-1

-1-1

-1

Collect reflected light, demagnify to less than 10mm

square, and focus on DMD

(Stage 1)

Illuminate sample with white light

Apply Hadamard matrix (or S Matrix) using DMD

Compress image to 160um x 8.2mm line

(Stage 2)

Disperse light spectrally using spectrograph and collect image using CCD camera

(Stage 3)

Apply inverse Hadamard transform using computer

X

Y

Spectrum

Future Directions

Acknowledgements

We would like to thank Dr. Anita Mahadevan-Jansen, Steve Gebhart, and Dr. Paul King for their support in this endeavor.

This project was made possible by the ___ grant.

• Compression stage needs to be redesigned due to the diffuse nature of the image source

• CCD camera needs to be replaced

• Spectrograph needs to be modified to collect the desired wavelength range and to interface with new CCD camera

• System needs to be reduced in size for use in operating room

kkkk Hk

H ,1,

1

1111

1111

1111

1111

4H

Light Source & Test Image

• Diffuse white light source used to illuminate sample

• Light box with 100mm focal length lens aperture used to focus white light and remove stray light interference from white light source

• Initial test image for focusing is a 3mm x 10mm line drawn on white optical flat

Light box (left) containing white light source and lens for focusing light on optical flat with

test image (red circle, right)

Stage 1 Design

• Camera lens (28mm focal length) collects diffuse reflectance from flat at a distance of 8” (203.2mm)

• Black flat installed around camera lens to block stray reflected light from test source

•50mm focal length achromatic doublet lens focuses collected light from the camera lens onto the DMD

Left: Camera lens from Stage 1 (left) integrated into light source & test image setup

Right: Stage 1 setup including camera lens (left), focusing lens (middle) and DMD (right)

DMD & Stages 2/3 Design

• Digital micro-mirror device integrated into the main system after Stage 1 to apply the Hadamard matrix (or S-matrix)

• Stage 2 image compression system initially designed to function with collimated light, and is currently being redesigned

• New CCD camera on order, spectrograph currently being refit to accommodate system requirements and CCD camera in Stage 3

Digital micro-mirror device and control circuitry for computer

interface