Cone-beam mammo-computed tomography from data along two tilting arcs
Kai Zeng,
a
Hengyong Yu,
b
Laurie L. Fajardo,
c
and Ge Wang
d
CT/Micro-CT Laboratory, Department of Radiology, University of Iowa, Iowa City, Iowa 52242
Received 23 December 2005; revised 19 July 2006; accepted for publication 20 July 2006;
published 13 September 2006
Over the past several years there has been an increasing interest in cone-beam computed tomogra-
phy CT for breast imaging. In this article, we propose a new scheme for theoretically exact
cone-beam mammo-CT and develop a corresponding Katsevich-type reconstruction algorithm. In
our scheme, cone-beam scans are performed along two tilting arcs to collect a sufficient amount of
information for exact reconstruction. In our algorithm, cone-beam data are filtered in a shift-
invariant fashion and then weighted backprojected into the three-dimensional space for the final
reconstruction. Our approach has several desirable features, including tolerance of axial data trun-
cation, efficiency in sequential/parallel implementation, and accuracy for quantitative analysis. We
also demonstrate the system performance and clinical utility of the proposed technique in numerical
simulations. © 2006 American Association of Physicists in Medicine. DOI: 10.1118/1.2336510
Key words: cone-beam CT, mammography, exact reconstruction, Katsevich algorithm
I. INTRODUCTION
Breast cancer is ranked as the second leading cause of cancer
death in women in the United States. It has been recognized
that mass screening and early treatment are extremely impor-
tant to reduce the mortality of breast cancer. Due to its speci-
ficity and sensitivity, x-ray mammography has been the
method of choice for screening and diagnosis.
1,2
However,
x-ray mammography is far from being perfect because up to
17% of breast cancers are not identified with mammography,
and normal breasts are associated with 70%–90% of mam-
mograms suspicious of cancers.
3
A major limitation of x-ray
mammography is its projective nature, while the real
anatomy and pathology is really in three dimensions 3D. To
address this problem, x-ray tomosynthesis and cone-beam
computed tomography CT are two compelling solutions.
Tomosynthesis is a three-dimensional 3D imaging tech-
nique to reconstruct a series of images from a limited num-
ber of projections.
4
Since its introduction in 1972, the area of
tomosynthesis has been significantly advanced largely due to
the development of the area detectors.
5
A primary application
of tomosynthesis is for breast imaging.
6–8
The tomosynthetic
algorithms are either analytic or iterative. The analytic algo-
rithms are straightforward and efficient, such as
self-masking,
9
selective plane removal,
10
and matrix inver-
sion tomosynthesis.
11
While the iterative algorithms are ro-
bust against noisy data and flexible to integrate prior knowl-
edge, as it is done using algebraic reconstruction
techniques,
12,13
expectation-maximization,
14
etc. none of
these algorithms can avoid the inherent drawback of tomo-
synthesis due to the data incompleteness.
Technically speaking, a breast volume should be imaged
very well by cone-beam CT. Since more information of the
object is acquired, the image quality of CT is much better
than tomosynthesis, in terms of contrast resolution, geometri-
cal distortion, etc. The concept of breast CT was proposed
two decades ago,
15
but little progress had been made initially
because of compromised image quality and involved radia-
tion exposure. Again, thanks to the advancement in the digi-
tal detector technology, a number of groups investigated the
feasibility and prototypes of cone-beam mammo-CT.
16,17
Nevertheless, the algorithms for breast CT are still based on
the traditional Feldkamp-type algorithms,
18
and reconstruct
images approximately with various artifacts.
The fundamental classic results on exact cone-beam CT
reconstruction were achieved by Grangeat,
19
Smith,
20
and
Tuy.
21
The recent breakthroughs on exact cone-beam CT al-
gorithms were reviewed by Zhao et al.
22
Up to now, there are
a number of accurate and efficient cone-beam CT algorithms
for various scanning trajectories, such as a helix,
23–25
an
arc-plus-line,
26,27
a circle-plus-arc,
28,29
and a saddle
curve.
30,31
Also, there are several algorithms which allow
exact image reconstruction in the case of general
trajectories.
32–36
To improve image quality with cone-beam mammo-CT,
we are motivated to design a cone-beam scanning mode that
allows theoretically exact image reconstruction. In this ar-
ticle, we propose a novel scheme for cone-beam mammo-CT,
which is theoretically exact, and develop a corresponding
Katsevich-type reconstruction algorithm. In our scheme,
cone-beam scans are performed along two tilting arcs to col-
lect a sufficient amount of information for exact reconstruc-
tion. We derive our corresponding algorithm in the frame-
work established by Katsevich,
29,33
which may handle axial
truncation of cone beam data. In what follows, we describe
our system setup and derive the algorithm in Sec. II, describe
numerical simulation results in Sec. III, and discuss relevant
issues and conclude the article in Sec. IV.
II. METHODS AND MATERIALS
A. Cone-beam mammo-CT system
In the proposed cone-beam mammo-CT system Fig. 1,a
patient lays down on a table with one breast hanging through
a hole. The x-ray tube and a flat-panel camera are fixed to a
3621 3621 Med. Phys. 33 „10…, October 2006 0094-2405/2006/33„10…/3621/13/$23.00 © 2006 Am. Assoc. Phys. Med.