Biography
Reza A. Zoroofi was born in Rasth, IRAN, in 1966.He graduated
from high school (major: Mathematics-Physics) and obtained the first rank in
Gilan province, IRAN, in 1984.
He passed the entrance examination of engineering universities
of IRAN with a rank of 13 (out of 50,000 participants) in 1984, and joined Amirkabir
University of Technology, Tehran, IRAN. He received the
B.Sc. degree in Electrical
Engineering (major: electronic) from Amirkabir University of Technology,
in 1989.
In 1989, he joined Khajeh Nassir University of Technology,
Tehran, IRAN. He received the M.Sc. degree in Electrical Engineering (major:
Digital Telecommunication) from this university in 1991.
In 1991, he passed the doctoral course entrance examinations
[in the field of biomedical engineering], held by Ministry of Culture and Higher
Education [MCHE] of IRAN, and was awarded the scholarship of IRAN government
for doing a Ph.D. abroad.
From 1989 to 1993, he involved in designing various hardware
and software for digital telephone switching exchanges in the telecommunication
industry of IRAN.
He joined Division of Functional Diagnostic Imaging, Graduate
School of Medicine, Osaka University, JAPAN, in 1993. From September 1993 to
March 1994, he was a research student. He entered the official Ph.D. course
of Medical School in April 1994 and received the Ph.D. degree in Medical Science
(major: functional diagnostic imaging) from Osaka University in 1998.
From January to March 1997, he also collaborated at Mechanical
Engineering Laboratory (MEL), Ministry of International Trade and Industry (MITI),
Tsukuba, JAPAN, as a New Energy and Industrial Technology Development Organization
(NEDO) Fellow.
From April 1997 to March 1998, he also collaborated at National
Cardio-Vascular Center (NCVC) Research Institute, Osaka, JAPAN, as a Research
Fellow.
In March 1998, he was awarded the postdoctoral fellowship
of Japan Society for Promotion of Science (JSPS) for doing a two years post-doc
in JAPAN. From April 1998 to March 2000, he was a JSPS Post-Doctoral Fellow
at Division of Functional Diagnostic Imaging , Graduate School of Medicine,
Osaka University. In the above period, he was also a guest researcher at National
Cardio-Vascular Center Research Institute (NCVC), Osaka, JAPAN. Currently, Dr.
Zoroofi is an Assistant Professor at Department of Computer and Electrical Engineering,
Faculty of Engineering, University of Tehran, Iran.
His research interests include works in the fields of information
and image processing, medical imaging and medical informatics.
EDUCATION
1998-2000 Osaka University, Suita,
Osaka, Japan
Post-doctoral studies
Major: Medical Image Processing
1994-1998 Osaka University, Suita,
Osaka, Japan
Ph.D. in Medical Science
Major: Functional Diagnostic Imaging
1989-1991 Khajeh Nassir University
of Technology, Tehran, Iran
M.Sc. in Elecrtical Engineering
Major: Digital Telecommunication
1984-1989 Amirkabir University of
Technology , Tehran, Iran.
B.Sc. in Elecrtical Engineering
Major: Electronics
B.Sc.
Course: Elecrtical Engineering
Major: Electronics. University: Faculty of Electrical Engineering
Amirkabir
University of Technology , Tehran, IRAN.
Period of study: October 1984 - February 1989.
M.Sc. Course: Elecrtical Engineering
Major: Digital Telecommunication.
University: Faculty of Electrical Engineering
jeh Nassir
University of Technology , Tehran, IRAN.
Period of study: February 1989 - July 1991.
Ph.D.
Course: Medical Science
Major: Functional Diagnostic Imaging.
University: Graduate School of Medicine
Osaka University , Suita, Osaka,
JAPAN.
Period of study: April 1994 - March 1998.
Post-doctoral
studies:
Major: Medical Image Processing.
University: Graduate School of Medicine
Osaka University , Suita, Osaka, JAPAN.
Period of study: April 1998 - March 2000.
FIELDS OF INTERESTS
Works in the
fields of information and image processing, medical imaging and medical
informatics.
During my M.Sc.
studies (1989-1991), I focused on designing the Basic Interface (2B+D)
for ISDN network (customer
premises), which
previously was not done in IRAN. I employed the Intel-80286 family as
the main controller and the Mitel
related chips as
supporting I/Os and digital switching ports. In addition, C and
Intel-x86 assembly (for real time decision
making and
controlling the peripherals) were used as programming languages.
I. Journal Papers
-
Zoroofi R.A., Taketani H., Tamura S., Sato Y.,
and Seikiya K.: Automated Inspection of IC wafer Contamination, Pattern
Recognition, 34(6), 109-119, 2001.
-
Mizuno-Matsumoto Y., Date S., Tabuchi Y., Tamura S.,
Sato Y., Zoroofi R.A., Shimojo S., Kadobayashi
Y., Tatsumi H., Nogawa H., Shinosaki H., Takeda
M., Inouye T., and Miyahara H.: Telemedicine for Evaluation of Brain
Function by Metacomputer, IEEE Trans. of Inf. Tech. in Biomedicine,
4(2),
165-172, 2000.
-
Mizuno-Matsumoto Y., Tamura S., Sato Y., Zoroofi R.A.,
Yoshimine T., Kato A., Taniguchi M., Takeda M., Inouye T., Shinosaki K.,
Ishii R., Lee K.J., Ko S.T., Tatsumi H., Shimojo S., and Miyahara H.: Propagation
of Epileptiform Discharges Using Wavelet-Crosscorrelation Analysis in MEG,
Medical Imaging Technology, 18(1), 61-70, 2000.
-
Date S., Mizuno-Matsumoto Y., Tamura S., Sato Y., Zoroofi
R.A., Tabuchi Y., Shimojo S., Kadobayashi Y., Tatsumi H., Nogawa H.,
Shinosaki K., Takeda M., Inouye T.,and Miyahara H.: Metacomputing Environment
for MagnetoEncephaloGraphy (MEG), Medical Imaging Technology , 18(1),
47-59, 2000.
-
Tanaka H., Tetsuzo Yamaguchi T., Zoroofi R.A., OGATA
Y., SATO Y., and Tamura S.: Restoration of two-type Degraded Images by
Markov Random Field-Maximum a posteriori Algorithm: Application to Single-Exposure
X-ray Imaging Grid-Less and Grid (GLG) X-ray Model, The Transactions
of the Institute of Elec., Info. and Comm. Eng. (IEICE) D-II, J83-D-II(1):
1999.
-
Mizuno-Matsumoto Y., Inouye T., Tamura S., Sato Y., Zoroofi
R.A. , Yoshimine T., Kato A., Taniguchi M., Lee K.J., Ko S.T., Takeda
M., Tatsumi H., Shimojo S., and Miyahara H.: Localization of Epileptic
Foci in Landau-Kleffner Syndrome using MEG, Clinical Electroencephalography
,
41(2): 123-127, 1999.
-
Zoroofi R.A., Sato Y., Tamura S., Naito H., Shimojo
S., and Nakamura H.: Reduction of MRI artifact due to 3-D rigid motion,
Medical
Imaging Technology, 17(1): 69-79, 1999.
-
Mizuta S., Urayama S., Zoroofi R.A., and Chikao Uyama:
Automated Non-Linear Registration between 3-Dimensional Brain Map and Medical
Head Image, Medical Imaging Technology, 16(3): 175-183, 1998.
-
Zoroofi R.A., Ogata Y., Taketani H., Sato Y., Tamura
S., and Inamoto K: Single-Exposure Low-Dose X-Ray Imaging with Grid-less
and Grid (GLG) Imaging Plates: a Kalman-Filter Approach, Medical Imaging
Technology, 16(6), 667-679, 1998.
-
Ogata Y., Hashizume Y., Inamoto K., Takigawa A., Zoroofi
R.A., Sato Y., and Tamura S.: A New Anti-Scatter Method Using CR System,
Journal
of Japanese Association of Imaging, 61(4): 212-220, 1998.
-
Sato Y., Chen J., Zoroofi R.A., Harada N., Tamura
S., and Shiga T.: Automatic Extraction and Measurement of Leukocyte Motion
in Microvessels Using Spatiotemporal Image Analysis, IEEE Transaction
on Biomedical Engineering, 44(4): 225-236, 1997.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: Reduction
of MRI Artifact Due to Planar Respiratory Motion, Medical Imaging Technology,
15(1): 63-72, 1997.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: MRI
Artifact Cancellation Due to Rigid Motion in the Imaging Plane, IEEE
Transaction on Medical Imaging, 15(6), 768-784, 1996.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: Reduction
of MRI Artifact Due to Rotational Motion in the Image Plane, Medical
Imaging Technology, 14(3): 259-268, 1996.
-
Zoroofi R.A., Sato Y., Tamura S., Naito H., and Tang
L.: An Improved Method for MRI Artifact Correction due to Translational
Motion in the Imaging Plane, IEEE Transaction on Medical Imaging,
14(3): 471-479, 1995.
II. Conference Papers
-
Zoroofi R.A., Nishii T., Sato Y., Sugano N., Yoshikawa
H., and, Tamura S., Segmentation of Avascular Necrosis of the Femoral Head
Using 3-D MRImages, Proceedings of Japanese Association of Medical
Imaging Technology (JAMIT) Frontier 2001, Okinawa, Japan (in
press).
-
Zoroofi R.A., Sasama T., Sato Y., Sugano N., Nishii
T. (3),Yonenobu K.,Yoshikawa H.,Tamura S.(2), and, Ochi T.,Segmentation
of Pelvis and Femur from Computer Tomography Images, Proceedings of Japanese
Association of Medical Imaging Technology (JAMIT) Frontier 2001,
Okinawa, Japan (in press).
-
Shahrokni A., Zoroofi R.A., Soltanian-Zadeh H.,A fast
skeletonization algorithm for 3-D elongated objects, Proceedings of SPIE
Medical Imaging 2001: San Diego, February 2001 (in
press).
-
Soltanian-Zadeh H., Shahrokni A., Zoroofi, R.A.,A
voxel-coding method for quantification of vascular structure from 3D images,
Proceedings of SPIE Medical Imaging 2001: San Diego,
February 2001 (in press).
-
Zoroofi R.A., Homma H., Sato Y., Tamura S., and Naito
H.: A Technique for Reduction of MRI 3-D Affine Motion Artifacts, Proceedings
of SPIE Medical Imaging 2000: 98-105, San Diego, February
2000 (in press).
-
Zoroofi R.A., Mizuno Y.M., Shinosaki K., Ukai S.,
Ishii R. , Keserci B., Kitaoka H., Sato Y., Tamura S., and Shimojo S.:
Automated Segmetation of the Brain in MRI, Proceedings of Japanese Association
of Medical Imaging Technology (JAMIT) Frontier'2000: 58-65, Tokyo,
January 2000.
-
Zoroofi R.A., Homma H., Sato Y., Tamura S., and Naito
H.: A Technique for Reduction of MRI 3-D Affine Motion Artifacts, Proceedings
of Japanese Association of Medical Imaging Technology (JAMIT) Frontier'2000:
98-105, Tokyo, January 2000.
-
Zoroofi R.A., Urayama S., Mizuta S., Uyama C., Yamada
N., Sato Y., and Tamura S.: Improving Motion Tracking of the Heart MR Tagged
Images by Orientational and Kalman Filters, Proceedings of Japanese Association
of Medical Imaging Technology (JAMIT) Frontier'2000: 78-85, Tokyo,
January 2000.
-
Keserci B., Zoroofi R.A., Tamura S., and Shimojo S.:
Automated Lung Segmentation of Chest Radiographs, Proceedings of Japanese
Association of Medical Imaging Technology (JAMIT) Frontier'2000:
66-71, Tokyo, January 2000.
-
Mizuno-Matsumoto Y., Date S., Tamura S., Sato Y.,Zoroofi
R.A., Tabuchi Y., Shimojo S., Kadobayashi Y., Tatsumi H., Nogawa H.,
Shinosaki K., Takeda M., Inouye T. and Miyahara H.: Integration of Signal
Processing and Medical Image for evaluation of Brain Function on Globus.,
Proc.
of IEEE IWS'99, 1999.
-
Mizuno-Matsumoto Y., Date S., Tamura S., Sato Y.,Zoroofi
R.A., Tabuchi Y., Shimojo S., Kadobayashi Y., Tatsumi H., Nogawa H.,
Shinosaki K., Takeda M., Inouye T. and Miyahara H.: Integration of Signal
Processing and Medical Image for Evaluation of Brain Function on Globus.,
Internet
Workshop '99 (IWS'99): 297-302, Osaka, Feb. 1999.
-
Zoroofi R.A. Tamura S., Sato Y., Ogata Y., Inamoto
K., and Shimojo S.: Low Dose X-Ray Imaging GLG: Restoration by Kalman Filter,
Proceedings of EUROPTO Conference on Optical and Imaging Techniques, SPIE
Vol.3567: 196-207, Stockholm, Sweden, September 1998.
-
Zoroofi R.A., Urayama S., Mizuta S., Yamada N., Uyama
C., and Tamura S.: Motion Detection of the Heart Left Ventricle Using Tagged
and Non-tagged MR Images, Computer assited Radiology (CAR)'98 :
98-103, Tokyo, June. 1998.
-
Tamura S. , Zoroofi R.A., Sato Y., Ogata Y., Inamoto
K.: Low Dose X-Ray Imaging GLG: Restoration by Kalman Filter,JAMIT Annual
Meeting'98: 443-444, Tokyo, Japan, 1998.
-
Mizuno-Matsumoto Y., Tamura S., Sato Y., Zoroofi R.A.,
Yoshimine T., Kato A., Taniguchi M.,, Takeda M., Inouye T., Tatsumi H.,
Shimojo S., and Miyahara H.: Propagating process of epileptiform discharges
using wavelet-crosscorrelation analysis in MEG, 11th International Conference
on Biomagnetism (BIOMAG98). Abstracts, p.237, Sendai, Aug. 1998.
-
Zoroofi R.A., Urayama S., Mizuta S., Yamada N., Uyama
C., and Tamura S.: Motion Detection of the Heart Left Ventricle Using Tagged
and Non-tagged MR Images, Proceedings of Japanese Association of Medical
Imaging Technology (JAMIT) Frontier'98: 182-186, Tokyo, January
1998.
-
Zoroofi R.A., Sato Y., Naito H. and Tamura S.: MRI
Artifact Correction due to 3-D Rigid Motion, Proceedings of Japanese Association
of Medical Imaging Technology (JAMIT) Frontier '97: 35-40, Osaka,
JAPAN, Jan. 1997.
-
Zoroofi R.A., Ogata Y., Sato Y., Tamura S. et al:
Single-Exposure cascaded Grid-less and Grid (GLG) x-ray imaging systems
(A Kalman-filter Approach), Proceedings of Japanese Association of Medical
Imaging Technology (JAMIT) Frontier '97: 35-40, Osaka, JAPAN, Jan.
1997.
-
Ogata Y., Zoroofi R.A., Sato Y., and Tamura S.: Single-exposure
cascaded grid-less and grid (GLG) x-ray imaging systems, Proceedings of
Japanese Association of Medical Physics (JAMP) 96: 164-165, Osaka,
JAPAN, July 1996.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: Reduction
of MRI artifact due to planar respiratory motion, Proceedings of Japanese
Association of Medical Imaging Technology (JAMIT) Frontier 96: 107-112,
Kyoto, Japan, Jan. 1996.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: Reduction
of MRI artifact due to rotational motion in the imaging plane, Proceedings
of Japanese Association of Medical Imaging Technology (JAMIT) Frontier
95: 37-44, Nagoya, Japan, Jan. 1995.
-
Zoroofi R.A., Sato Y., Tamura S., and Naito H.: MRI
artifact correction due to translational and rotational motion in the imaging
plane, Proceedings of the Third International Symposium of the Japan-Russia
Medical exchange: p. 135 (abstract), Osaka, Japan, June 1995.
-
Sato Y.,Zoroofi R.A., Chen J., Harada N., Tamura S.,
and Shiga T.: Automatic Extraction and Measurement of Leukocyte Motion
in Microvessels Using Spatiotemporal Image Analysis, Proc. IEEE Workshop
on Biomedical Image Analysis, Seattle, Washington, USA, 134-143, 1994.
-
Chen J., Zoroofi R.A. , Sato Y., Harada N., Tamura
S., and Shiga T.: Automatic extraction and measurement of leukocyte motion
in microvessels using spatiotemporal image analysis, Proceedings of Japanese
Association of Medical Imaging Technology (JAMIT) Frontier 94 ,
Osaka, Japan, Jan. 1994.
III. Patent
Zoroofi R.A. and Homma K., Ultra-Fast MR Imaging
with Spin Echo Multi-Frequency RF Pulse Excitation, Japanese patent No.
3120111.
IV. Ph.D. Dissertation
Zoroofi R.A.: Studies on MRI Artifact Cancellation,
Ph.D.
Thesis: Osaka Universtiy, March 1998.
I. B.Sc. jobs [Electronic Engineering]
-
Training #1: Telemetry Lab. of Dispatching Center, Ministry
of Power and Energy of IRAN (remote control of IRAN power plants), 1985.
-
Training #2: Digital Switching Center of IRAN Telecommunication
Company (ITC), 1986.
-
Training #3: Maintenance Center of Computer Numerical Control
(CNC) machines, Iran Army, 1987.
-
B.Sc. thesis: design and implementation of a microprocessor
controlled system for inspecting the TTL and CMOS integrated circuits (ICs).
Developing the hardware, software, and finding optimum ways for defining
and searching ICs data-bases were the goals of this project (1988-1989).
II.
M.Sc. jobs [Telecommunication Engineering]
-
During my M.Sc. studies (1989-1991), I focused on designing
the Basic Interface (2B+D) for ISDN network (customer premises), which
previously was not done in IRAN. I employed the Intel-80286 family as the
main controller and the Mitel related chips as supporting I/Os and digital
switching ports. In addition, C and Intel-x86 assembly (for real time decision
making and controlling the peripherals) were used as programming languages.
The hardware and software of the following boards were developed for Iran
Telecommunication Research Center (ITRC), Tehran, IRAN:
-
ISDN basic access (2B+D) circuit interface for the ASR TDM/PCM
digital switching center.
-
Digital (data voice) telephone for ISDN 64Kbit (2B+D) lines.
-
Analog Line (and Trunk) Interface Circuits (ALIC and ATIC)
for for non digital lines of a digital switching center (ASR TDM/PCM switch).
-
Cooperation at designing of the software and hardware of
a PABX switching center (CARIN-500) at Paya Communication Industries (PCI)
Tehran, IRAN (1991-1992 ).
-
Cooperation at designing of the billing and supervision software
for the CARIN-500 PABX (with C). CARIN was connected to a PC via a serial
line and the developed software (on-line) was responsible to compute all
the charging and supervision requirements for about 500 local subscribers
according to their programmable service features (1992).
-
Cooperation at designing of the control (multiprocessor system)
section of a 2000 PCM/TDM digital switch (hardware and software) at PCI
Co., Tehran, IRAN (1992).
-
Designing the software of supervision, maintenance, administration
and testing (SMAT), with object oriented C++, for a 2000 PCM/TDM switch
at PCI Co. in Tehran, IRAN (1993).
-
In 1993, after passing the doctor course examination of Biomedical
Engineering (held by Ministry of Culture and Higher Education of Iran),
I was awarded the scholar-ship of Iran government for doing a Ph.D. abroad.
Because I was very interested in information processing and computer applications
in medicine, I selected the field of medical information processing particularly
image processing for my doctoral studies. I quit my job in September 1993
and joined Graduate School of Medicine, Osaka University, Suita, Osaka,
JAPAN, to pursue my Ph.D. studies.
III. Experiences in programming languages, and library tools
I have practical skills in the following computer languages
and libraries [under MS-DOS, Microsoft Windows (95/98/NT), Linux, and Unix
(SUN and SGI) operating systems]:
-
Fortran IV, Fortran 77 and VSFORTRAN (of IBM Main Frames).
-
GPSS (event simulation language of IBM Main Frames).
-
BASIC/Visual Basic (DOS/Windows).
-
C and object oriented C++ (DOS/Window/Linux/Unix).
-
Assembly (Zilog, Motorola, and Intel Families).
-
HTML and JAVA (the Internet environment programming).
-
Tcl-Tk (Window/Linux/Unix) user interface language.
-
MatLab (DOS/Window/Unix).
-
Spider (Unix) image processing library tools.
-
IMSL (Unix) mathematical library tools.
-
NRC (Windows/Unix) mathematical library tools.
-
AVS (Unix) visualization tools.
-
VTK (Windows/Unix) visualization tools.
IV. MEDAL software
MEDAL (MEdical DAta manipuLation tools) is a research
oriented software and its goal is to cope with the common demands
of the people who need to manipulate, process, navigate and visualize patients
corresponding medical data on the MS-Windows (95/98/NT) operating systems. I developed MEDAL during my post-doctoral studies in Japan. The
current MEDAL is prepared after around 2000 hours programming. MEDAL is
available at http://www.image.med.osaka-u.ac.jp/reza/medal_home.html.
MEDAL is a collection of manipulation and processing tools for handling
the digitized medical (signals, images and volume) data acquired from patients/volunteers
bodies by different medical modalities such as MEG/EEG machines , MRI,
CT, PET scanners and so fort.
Wavelet cross-correlation analysis of the brain (MEG/EEG)
signals, automatic brain segmentation using T1
MR images, visualizing the brain activities [by mapping
the MEG/EEG data on the brain surface], orientational filtering, radial
imaging, 3-D morphological operations, 3-D visualization of multi-slice
images, 3-D thinnig, etc. are some examples of present MEDAL tools.
ACTIVITIES
I. Automatic detection and tracking of
leukocytes in cappilaries
The aim of this
work was to detect motion and measure the velocity of leukocytes that
adhere to microvessel walls by
computer vision
techniques. Technically, the problem of moving-objects-identification
from a sequence of images (frames)
should be solved.
Corresponding publications are as follows:
- Sato Y., Chen
J., Zoroofi R.A., Harada N., Tamura S., and Shiga T.: Automatic
Extraction and Measurement of Leukocyte
Motion in
Microvessels Using Spatiotemporal Image Analysis, IEEE Transaction on
Biomedical Engineering, 44(4): 225-236,
1997.
- Sato Y.,Zoroofi
R.A., Chen J., Harada N., Tamura S., and Shiga T.: Automatic Extraction
and Measurement of Leukocyte
Motion in
Microvessels Using Spatiotemporal Image Analysis, Proc. IEEE Workshop on
Biomedical Image Analysis,
Seattle,
Washington, USA,
134-143, 1994.
- Chen J., Zoroofi
R.A. , Sato Y., Harada N., Tamura S., and Shiga T.: Automatic extraction
and measurement of leukocyte
motion in
microvessels using spatiotemporal image analysis, Proceedings of
Japanese Association of Medical Imaging
Technology (JAMIT)
Frontier 94 ,
Osaka,
Japan, Jan. 1994.
II. MRI artifact correction
There are various
imaging techniques in MRI such as spin echo (SE) imaging, inversion
recovery (IR), echo planar imaging
(EPI), etc. Up to
know, the SE imaging has proved to provide the highest quality MR image
[the best signal to noise (SNR)
and contrast to
noise ratio (CNR)]. The drawback of the SE technique is that it needs a
longer data acquisition time (several
minutes) in
contrast to other MR imaging techniques. Unfortunately, patient motion
during MRI data acquisition can limit the
resultant image
quality by imposing ghost-like artifact, blurring, or reducing the
intensity of moving structures. This effect is
called motion
artifact. The MRI machines have presently been equipped with several
fast imaging techniques to reduce the
effect of the
motion-artifact. However, all of the fast imaging techniques provide a
lower quality image [lower (SNR) and
(CNR)] compared
with that of the spin echo (SE) technique, especially if the motion
artifact can be suppressed by another
method. This is
why that the conventional spin echo imaging in spite of a longer data
acquisition is still in a wide usage in the
common clinical
practice. For this reason, we decided to improve the quality of the MR
image acquired with a spin-echo
technique. We have
attempted to reduce the MRI motion artifact arising from a patient
motion by computer post-processing
techniques.
Corresponding publications are as follows:
- Zoroofi R.A.,
Homma H., Sato Y., Tamura S., and Naito H.: A Technique for Reduction of
MRI 3-D Affine Motion
Artifacts,
Proceedings of Japanese Association of Medical Imaging Technology (JAMIT)
Frontier'2000: 98-105,
Tokyo,
January 2000.
- Zoroofi
R.A.,Homma H., Sato Y., Tamura S., and Naito H.: A Technique for
Reduction of MRI 3-D Affine Motion
Artifacts,
Proceedings of SPIE Medical Imaging 2000: 98-105, San Diego, February
2000 (in press).
- Zoroofi R.A.,
Sato Y., Tamura S., Naito H., Shimojo S., and Nakamura H.: Reduction of
MRI artifact due to 3-D rigid
motion, Medical
Imaging Technology, 17(1): 69-79, 1999.
- Zoroofi R.A.:
Studies on MRI Artifact Cancellation, Ph.D. Thesis: Osaka Universtiy,
March 1998.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: Reduction of MRI Artifact Due to
Planar Respiratory Motion, Medical
Imaging
Technology, 15(1): 63-72, 1997.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: MRI Artifact Cancellation Due to Rigid
Motion in the Imaging Plane, IEEE
Transaction on
Medical Imaging, 15(6), 768-784, 1996.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: Reduction of MRI Artifact Due to
Rotational Motion in the Image Plane,
Medical Imaging
Technology, 14(3): 259-268, 1996.
- Zoroofi R.A.,
Sato Y., Tamura S., Naito H., and Tang L.: An Improved Method for MRI
Artifact Correction due to
Translational
Motion in the Imaging Plane, IEEE Transaction on Medical Imaging, 14(3):
471-479, 1995.
- Zoroofi R.A.,
Sato Y., Naito H. and Tamura S.: MRI Artifact Correction due to 3-D
Rigid Motion, Proceedings of Japanese
Association of
Medical Imaging Technology (JAMIT) Frontier '97: 35-40, Osaka, JAPAN,
Jan. 1997.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: Reduction of MRI artifact due to
planar respiratory motion, Proceedings of
Japanese
Association of Medical Imaging Technology (JAMIT) Frontier 96: 107-112,
Kyoto, Japan, Jan. 1996.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: Reduction of MRI artifact due to
rotational motion in the imaging plane,
Proceedings of
Japanese Association of Medical Imaging Technology (JAMIT) Frontier 95:
37-44, Nagoya, Japan, Jan. 1995.
- Zoroofi R.A.,
Sato Y., Tamura S., and Naito H.: MRI artifact correction due to
translational and rotational motion in the
imaging plane,
Proceedings of the Third International Symposium of the Japan-Russia
Medical exchange: p. 135 (abstract),
Osaka, Japan, June
1995.
III. Low dose X-ray imaging
In computed
radiography (CR) providing high-quality low-invasive systems, i.e.
improving spatial resolution and contrast of the
resultant image
together with reducing the risk of patient radiation exposure are still
of particular interests. As the CR systems
using
photostimulable phosphor imaging plate (IP) were developed to permit
digital image generation which excelled in linearity
and
reproducibility, many research institutes conducted researches on
computer-aided image processing with a view toward
image diagnostic
value enhancement. One of the main practical obstacles on obtaining a
high-contrast x-ray image is the
problem of
scattering. The effect of scattered radiation is giving an obscured
x-ray image with poor detectable lesions and
hence a vague
diagnostic information. The purpose of this research was to obtain an
image with the same quality as of the
existing x-ray
system together with a lower exposure requirement. Corresponding
publications are as follows:
- Tanaka H.,
Tetsuzo Yamaguchi T., Zoroofi R.A., OGATA Y., SATO Y., and Tamura S.:
Restoration of two-type Degraded
Images by Markov
Random Field-Maximum a posteriori Algorithm: Application to
Single-Exposure X-ray Imaging Grid-Less
and Grid (GLG)
X-ray Model, The Transactions of the Institute of Elec., Info. and Comm.
Eng. (IEICE) D-II, J83-D-II(1):
1999 (in press).
- Zoroofi R.A.,
Ogata Y., Taketani H., Sato Y., Tamura S., and Inamoto K:
Single-Exposure Low-Dose X-Ray Imaging with
Grid-less and Grid
(GLG) Imaging Plates: a Kalman-Filter Approach, Medical Imaging
Technology, 16(6), 667-679, 1998.
Ogata Y.,
Hashizume Y., Inamoto K., Takigawa A., Zoroofi R.A., Sato Y., and Tamura
S.: A New Anti-Scatter Method
Using CR System,
Journal of Japanese Association of Imaging, 61(4): 212-220, 1998.
- Zoroofi R.A.
Tamura S., Sato Y., Ogata Y., Inamoto K., and Shimojo S.: Low Dose X-Ray
Imaging GLG: Restoration by
Kalman Filter,
Proceedings of EUROPTO Conference on Optical and Imaging Techniques,
SPIE Vol.3567: 196-207,
Stockholm, Sweden,
September 1998.
- Tamura S. ,
Zoroofi R.A., Sato Y., Ogata Y., Inamoto K.: Low Dose X-Ray Imaging GLG:
Restoration by Kalman
Filter,JAMIT
Annual Meeting'98: 443-444,
Tokyo,
Japan, 1998.
- Zoroofi R.A.,
Ogata Y., Sato Y., Tamura S. et al: Single-Exposure cascaded Grid-less
and Grid (GLG) x-ray imaging
systems (A Kalman-filter
Approach), Proceedings of Japanese Association of Medical Imaging
Technology (JAMIT) Frontier
'97: 35-40, Osaka,
JAPAN, Jan. 1997.
- Ogata Y.,
Zoroofi R.A., Sato Y., and Tamura S.: Single-exposure cascaded grid-less
and grid (GLG) x-ray imaging systems,
Proceedings of
Japanese Association of Medical Physics (JAMP) 96: 164-165, Osaka,
JAPAN, July 1996.
IV. Contamination inspection of IC wafers
The goal of this
project was to provide a computer-vision technique for identification of
the contaminated area on the surface of
a IC-wafer before
the assembling process. We employed CCD-cameras and optical filtering
techniques to create the
input-data for a
feed-forward neural network (back projection technique). This project
was done for a integrated circuit (IC)
manufacturing
company. The corresponding manuscript is as follows:
- Zoroofi R.A.,
Taketani H., Tamura S., Sato Y., Sekiya K.: Automated Inspection of IC
Wafer Contamination, Pattern
Recognition (in
press).
V. Ultra-fast MR imaging
The above research
was dealing with a new ultra-fast data acquisition technique that might
be employed in a magnetic
resonance imaging
(MRI) modality. The method was based on using a multi-frequency rf
pulse, i.e., a linear superposition of
several selective
rf pulses, with the assumption that the resultant MR signal can be
regarded as the superposition of the spin
responses due to
each individual frequency. Using this sequence, and by proper filtering,
it was shown that the discrimination of
echo signals
corresponding to their rf pulse can be achieved.In this technique,
acquiring the MR data only required a fraction of
TR, making the
method a competitive ultra-fast imaging scheme. This work was patented
as follows:
- Zoroofi R.A. and
Homma K., Ultra-Fast MR Imaging with Spin Echo Multi-Frequency RF Pulse
Excitation, Japanese patent
application, No.
H9-279927, 1997.
VI. Heart motion tracking
Myocardial motion
studies of patients suffering from different kinds of the Heart
diseases, such as aorta stenosis, hypertrophic
cardiomyopathy and
myocardial infarction, using possible non-invasive accurate method are
of particular interests. Nowadays,
most MRI machines,
by employing the technique of spatial modulation of the
magnetization(SPAMM), the so-called
tagging-grid}
[Axel el al, Radiology 169, 59, 1988], have been equipped and
accordingly opened a competitive field that might
have the potential
of highly accurate quantification of myocardial motion, particularly the
left ventricle (LV) local and global
motions. However,
the MR-tagged images should be improved in terms of (I) providing better
datasets, (II) developing new
post-processing
computational techniques, and (III) creating useful medical diagnostic
interface (MDI) for physicians. The main
goal of this
research was to fill the above mentioned gaps as much as possible.
Publications in this regard are as follows:
- Zoroofi R.A.,
Urayama S., Mizuta S., Uyama C., Yamada N., Sato Y., and Tamura S.:
Improving Motion Tracking of the
Heart MR Tagged
Images by Orientational and Kalman Filters, Proceedings of Japanese
Association of Medical Imaging
Technology (JAMIT)
Frontier'2000: 78-85, Tokyo, January 2000.
- Zoroofi R.A.,
Urayama S., Mizuta S., Yamada N., Uyama C., and Tamura S.: Motion
Detection of the Heart Left Ventricle
Using Tagged and
Non-tagged MR Images, Computer assited Radiology (CAR)'98 : 98-103,
Tokyo, June. 1998.
- Zoroofi R.A.,
Urayama S., Mizuta S., Yamada N., Uyama C., and Tamura S.: Motion
Detection of the Heart Left Ventricle
Using Tagged and
Non-tagged MR Images, Proceedings of Japanese Association of Medical
Imaging Technology (JAMIT)
Frontier'98:
182-186, Tokyo, January 1998.
VII. Analysis and visualization of brain
activities
In order to
undenredstand the generators of cerebral activities with non-invasive
data acquisition modalities such as
Magnetoencephalography (MEG), developing the complementary
post-processing analysis and visualization tools are very
important. Mapping
the propoagation process of epileptiform discahrges using wavelet cross-orrrelation
on the brain surface, is
one particular
task in this regard. Our developed software package, MEDAL
(http://www.image.med.osaka-u.ac.jp/reza/medal.html),
can automatically segment the brain surface using T1 MR images,
register the MRI
and MEG data, and map the processed MEG signals on the corresponding
brain surface of the same patient.
Corresponding
publications are as follows:
- Zoroofi R.A.,
Mizuno Y.M., Shinosaki K., Ukai S., Ishii R. , Keserci B., Kitaoka H.,
Sato Y., Tamura S., and Shimojo S.:
Automated
Segmetation of the Brain in MRI, Proceedings of Japanese Association of
Medical Imaging Technology (JAMIT)
Frontier'2000:
58-65, Tokyo, January 2000.
- Mizuno-Matsumoto
Y., Tamura S., Sato Y., Zoroofi R.A., Yoshimine T., Kato A., Taniguchi
M., Takeda M., Inouye T.,
Shinosaki K.,
Ishii R., Lee K.J., Ko S.T., Tatsumi H., Shimojo S., and Miyahara H.:
Propagation of Epileptiform Discharges
Using Wavelet-Crosscorrelation
Analysis in MEG, Medical Imaging Technology, 18(1), 61-70, 2000.
- Mizuno-Matsumoto
Y., Inouye T., Tamura S., Sato Y., Zoroofi R.A. , Yoshimine T., Kato A.,
Taniguchi M., Lee K.J., Ko
S.T., Takeda M.,
Tatsumi H., Shimojo S., and Miyahara H.: Localization of Epileptic Foci
in Landau-Kleffner Syndrome using
MEG, Clinical
Electroencephalography , 41(2): 123-127, 1999.
- Mizuno-Matsumoto
Y., Tamura S., Sato Y., Zoroofi R.A., Yoshimine T., Kato A., Taniguchi
M.,, Takeda M., Inouye T.,
Tatsumi H.,
Shimojo S., and Miyahara H.: Propagating process of epileptiform
discharges using wavelet-crosscorrelation
analysis in MEG,
11th International Conference on Biomagnetism (BIOMAG98). Abstracts,
p.237, Sendai, Aug. 1998.
VIII. Medical applications of high capacity
Internet environments
For handling the
transportation task of huge amounts of medical data acquired from
distributed sophisticated medical
modalities, and
also for dealing with the corresponding online heavy calculations,
interpretation, and visualizations of these
medical data,
particularly, at the time natural disasters such as earthquake,
developing advanced multimedia application systems
and high capacity
internet environments are essenstial. In this research, Globus, a system
of networked virtual supercomputers
(a meta computer),
MEG, a high technology medical instrumentation system, and a message
passing interface (MPI), were
combined with
complementary developed calculation software to evaluate the brain
functions
and disorders.
Corresponding publications are as follows:
- Mizuno-Matsumoto
Y., Date S., Tabuchi Y., Tamura S., Sato Y., Zoroofi R.A., Shimojo
S., Kadobayashi Y., Tatsumi
H., Nogawa H.,
Shinosaki H., Takeda M., Inouye T., and Miyahara H.: Telemedicine for
Evaluation of Brain Function by
Metacomputer, IEEE
Trans. of Inf. Tech. in Biomedicine (In press).
- Date S.,
Mizuno-Matsumoto Y., Tamura S., Sato Y., Zoroofi R.A., Tabuchi Y.,
Shimojo S., Kadobayashi Y., Tatsumi H.,
Nogawa H.,
Shinosaki K., Takeda M., Inouye T.,and Miyahara H.: Metacomputing
Environment for
MagnetoEncephaloGraphy (MEG), Medical Imaging Technology , 18(1), 47-59,
2000.
- Mizuno-Matsumoto
Y., Date S., Tamura S., Sato Y.,Zoroofi R.A., Tabuchi Y., Shimojo S.,
Kadobayashi Y., Tatsumi H.,
Nogawa H.,
Shinosaki K., Takeda M., Inouye T. and Miyahara H.: Integration of
Signal Processing and Medical Image for
evaluation of
Brain Function on Globus., Proc. of IEEE IWS'99, 1999.
- Mizuno-Matsumoto
Y., Date S., Tamura S., Sato Y.,Zoroofi R.A., Tabuchi Y., Shimojo S.,
Kadobayashi Y., Tatsumi H.,
Nogawa H.,
Shinosaki K., Takeda M., Inouye T. and Miyahara H.: Integration of
Signal Processing and Medical Image for
Evaluation of
Brain Function on Globus., Internet Workshop '99 (IWS'99): 297-302,
Osaka, Feb. 1999.
VIIII. Automated lung segmentation of chest
radiographs
The aim of this
study is to develop an automatic lung segmentation method that can be
used as the first stage of various
computer-aided
diagnosis protocols for automated detection of abnormalities such as the
pulmonary lung nodules,
pneumothorax, and
interstitial disease in clinical chest images. In this method, global
gray-level histogram analysis is first used to
identify a range
of gray-level thresholds. Based on this range of thresholds, an
iterative global gray-level thresholding analysis is
applied to find
the initial lung boundary. Since the initial boundary does not fully
capture the true lung border, an adaptive local
gray-level
thresholding is performed to extend the initial boundary to the true
lung border. Corresponding publication is as
follows:
- Keserci
B.,Zoroofi R.A., Tamura S., and Shimojo S.: Automated Lung Segmentation
of Chest Radiographs, Proceedings of
Japanese
Association of Medical Imaging Technology (JAMIT) Frontier'2000: 66-71,
Tokyo, January 2000.
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