Iterative reconstruction of PET images using a high-overrelaxation single-projection algorithm

Schmidlin, P.; Bellemann, Matthias E.; Brix, Gunnar

doi:10.1088/0031-9155/42/3/009

Cited by 29 publications

(16 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Both attenuation and emission images were iteratively reconstructed by means of a high-overrelaxation single-projection (HOSP) algorithm with optimized overrelaxation parameters [29,30] on a Sun Workstation (Ultra Sparc-II/2, Sun, Mountain View, Calif.). Using this ultra-fast algorithm, six iteration steps were sufficient to accurately quantify regional activity and attenuation values [31].…”

Section: Fdg-pet Scanningmentioning

confidence: 99%

Comparison of pharmacokinetic MRI and [18F] fluorodeoxyglucose PET in the diagnosis of breast cancer: initial experience

et al. 2001

Self Cite

View full text Add to dashboard Cite

It was the aim of this methodology-oriented clinical pilot study to compare the potential of dynamic MRI and 2-[18F]fluoro-2-deoxy-D-glucose (FDG) positron emission tomography (PET) for the detection and characterization of breast cancer. Fourteen women with suspicious breast lesions were examined. The MRI data were acquired with a turbo fast low-angle shot sequence and analyzed using a pharmacokinetic model. Emission data were detected in the sensitive 3D modus, iteratively reconstructed, and superimposed onto corresponding transmission images. In the 14 patients, 13 breast masses with a suspicious contrast enhancement and FDG uptake were detected. For these lesions, no statistically significant correlation between evaluated MR and PET parameters was found. Of the 9 histologically confirmed carcinomas, 8 were correctly characterized with MRI and PET. Two inflammatory lesions were concordantly classified as cancer. Moreover, dynamic MRI yielded another false-positive finding. In 6 patients, PET detected occult lymph node and/or distant metastases. Although both functional imaging techniques provide independent tissue information, the results concerning the diagnosis of primary breast lesions were almost identical. An advantage of PET, however, is its ability to localize lymph node involvement and distant metastases as an integral part of the examination.

show abstract

Section: Fdg-pet Scanningmentioning

confidence: 99%

Comparison of pharmacokinetic MRI and [18F] fluorodeoxyglucose PET in the diagnosis of breast cancer: initial experience

et al. 2001

Self Cite

View full text Add to dashboard Cite

show abstract

“…We compared our -ES approach both with the FBP and also with an iterative reconstruction (IR) method [11]. The IR algorithm uses constant initial values for and the same methods as described above to calculate .…”

Section: Methodsmentioning

confidence: 99%

“…For a given projection angle, a correction factor is calculated (2) as the ratio of the measured projection value to the corresponding ray sum (2) As the iteration step, all the voxels along are immediately updated by multiplying the voxel values by . The overrelaxation parameter was chosen empirically as 0.065 and is generally not changed during the iterative procedure [11].…”

Section: Methodsmentioning

confidence: 99%

A (μ + λ) evolutionary algorithm for reconstruction of SPECT data

Kabos

Kenny

Mirzaei

et al. 2002

IEEE Trans. Evol. Computat.

View full text Add to dashboard Cite

Algorithms used to reconstruct single photon emission computed tomography (SPECT) data are based on one of two principles: filtered back projection or iterative methods. In this paper, an evolution strategy (ES) was applied to reconstruct transaxial slices of SPECT data. Evolutionary algorithms are stochastic global search methods that have been used successfully for many kinds of optimization problems. The newly developed reconstruction algorithm consisting of parents and children uses a random principle to readjust the voxel values, whereas other iterative reconstruction methods use the difference between measured and simulated projection data. The ( + )-ES was validated against a test image, a heart, and a Jaszczak phantom. The resulting transaxial slices show an improvement in image quality, in comparison to both the filtered back projection method and a standard iterative reconstruction algorithm.Index Terms-Evolutionary algorithm, nuclear medicine, reconstruction, single-photon emission-computerized tomography.

show abstract

“…OSEM. Currently, we are using Cologne-HOSP, [10], that is based on Schmidlin's HOSP algorithm, [11], and has been ported to Solaris Sparc, IRIX, Linux x86, PowerMac and Windows NT.…”

Section: A Previous Work Based On Rpc and Syngomentioning

confidence: 99%

HeinzelCluster: accelerated reconstruction for FORE and OSEM3D

Vollmar

Michel

Treffert

et al.

2001 IEEE Nuclear Science Symposium Conference Record (Cat. No.01CH37310)

View full text Add to dashboard Cite

We have investigated two strategies to speedup reconstruction of data from our high resolution PET scanner (HRRT) on a dedicated cluster (7 nodes with 4 PIII Xeon@700 MHz, switched Fast Ethernet and Myrinet networking, Windows NT). With the first strategy, FORE/FOREJ and a fast 2D reconstruction method, we were able to reduce the 2D reconstruction time from 38 minutes to approx. 100 seconds. The second approach was to accelerate OSEM3D with a two-stage parallelization scheme resulting in a drop of reconstruction time from about 8 hours on one CPU to approx. 35 minutes for one core iteration.Iterative reconstruction techniques for reconstruction of Positron Emission Tomography (PET) data are usually too time consuming on most single processor machines that are affordable. This is especially true for the HRRT (High Resolution Research Tomograph) which demands sinogram dimension of unsurpassed size (presently one 3D data set consists of 2209 sinograms with 256 radial elements and 288 views), [1].One strategy to drastically improve reconstruction time is the use of Fourier Rebinning (FORE: [2], [3]; FOREJ: [4]): the 3D scan is transformed into the format of a 2D scan with 207 sinograms (in case of the HRRT) preserving the information of the 3D data. Thus the reconstruction problem is reduced to reconstructing independent 2D slices and offers a very convenient approach to cluster computing.In a previous work we used this approach to scale down the reconstruction time with implementations utilizing RPC or Syngo [5] communication facilities on a Windows NT network of commodity PCs and with the first version of our dedicated reconstruction cluster (seven four-processor-systems, Intel PIII @ 700 MHz, 1 GB RAM, switched fast ethernet), [6].These previous results have encouraged us to upgrade our dedicated cluster to Myrinet networking equipment [7] as we could identify fast ethernet bandwidth as the limiting factor (less so for special purpose network topologies with multiple fast ethernet cards per node). We have shown that we now have a good basis to tackle a more complex reconstruction method for cluster adaption: OSEM3D in the implementation of C. Michel [8]. This reconstruction method has produced the best results for the HRRT data so far and is more suitable for an adequate treatment of the sinogram gaps that result from the detector geometry of the HRRT.We are also in the process of developing a complementary suite of tools to integrate cluster reconstruction for HRRT and ECAT7 data into our clinical routine. I. MATERIAL AND METHODS A. Previous work based on RPC and SyngoThe BeeHive package was mainly developed to utilize idle Windows NT user work stations for distributed computing of FORE-preprocessed sinograms, [9]. It consists of three components: (a) the "busy bees" (slaves) which are installed (automatically) on all NT machines, (b) the "BeeKeeper" component that is responsible for adding new bees to the beehive, and (c) the "QueenBee" (master) which distributes work among the "bees" and collects results. The i...

show abstract

Iterative reconstruction of PET images using a high-overrelaxation single-projection algorithm

Cited by 29 publications

References 8 publications

Comparison of pharmacokinetic MRI and [18F] fluorodeoxyglucose PET in the diagnosis of breast cancer: initial experience

Comparison of pharmacokinetic MRI and [18F] fluorodeoxyglucose PET in the diagnosis of breast cancer: initial experience

A (μ + λ) evolutionary algorithm for reconstruction of SPECT data

HeinzelCluster: accelerated reconstruction for FORE and OSEM3D

Contact Info

Product

Resources

About