poster - Department of Electrical and Computer Engineering

plantationscarfAI and Robotics

Nov 25, 2013 (3 years and 11 months ago)

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Introduction


Radiation therapy plays an important and effective role in
the treatment of cancer. A main goal in radiation therapy is
to deliver high radiation doses to the perceived tumors
while minimizing radiation to surrounding normal tissues


Manual delineation of tumors and organs
-
at
-
risk on 3D
-
CT
is time consuming and labor intensive


Automatic and semi
-
automatic segmentation techniques:
intensity based methods, edge detection techniques,
deformable models,
thresholding

approaches,
classification approaches, clustering algorithms, hybrid
approaches

Objective


To

develop

an

interactive

segmentation

tool

that

fuses

inputs

from

the

expert

users

with

features

in

images

to

speed

up

the

manual

delineation

process

and

reduce

the

computational

complexity

and

workload


Flowchart of Methods

Left
:

the

principal

curve

projection

to

the

lung

boundary
.

Edge

points

(blue),

the

projected

principal

curve

(red),

the

manual

contours

(yellow)

Right
:

up

sampling

points

to

the

ridges

of

the

object

boundaries

.

Edge

points

(blue),

the

projected

principal

curve

(green),

up

sampled

points

(red)


Acknowledgement


This

work

has

been

partially

supported

by

NSF

under

grants

ECCS
0929576
,

ECCS
0934506
,

IIS
0934509
,

IIS
0914808
,

and

BCS
1027724

Results cont’

Results





We

test

the

proposed

algorithm

on

2

patient

lung

3
D
-
CT

scans

for

lung

segmentation



The

preserved

points

which

represent

the

contours

of

the

lung

can

be

as

low

as

10

percent

of

the

initial

manual

contour

points



The

overlapping

ratio

between

the

manually

segmented

lung

and

the

semi
-
automatically

segmented

lung

by

our

method

is

approximately

0
.
93
.





Principal Curve Based Semi
-
Automatic
Segmentation of Organs in 3D
-
CT

S. You, E. Bas, E.
Ataer
-
Cansizoglu
,
D
.

Erdogmus
1
, J. Kalpathy
-
Cramer
2

1

Department of Electrical and Computer Engineering, Northeaster University

2

Department of Medical Informatics and Clinical Epidemiology, Oregon Health & Science
University



COGNITIVE

SYSTEMS

LABORATORY

Introduction

Results cont’

Propagation

of

contours

between

slices
:

manual

contours

(yellow),

the

projected

principal

curves

(red),

initial

contours,

and

the

output

of

the

segmentation

from

the

previous

slice

(white
)

Down

sampling

points

on

the

ridges

of

the

object

boundaries
:

edge

points

(blue),

the

projected

principal

curve

(red),

manual

contours

(yellow),

down

sampled

points

(green

circle)