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Featured researches published by Joachim Zaers.


IEEE Transactions on Nuclear Science | 1997

Performance evaluation of the whole-body PET scanner ECAT EXACT HR/sup +/ following the IEC standard

Lars-Eric Adam; Joachim Zaers; Hermann Ostertag; Herbert Trojan; Matthias E. Bellemann; Gunnar Brix

The performance parameters of the whole-body PET scanner ECAT EXACT HR/sup +/ (CTI/Siemens, Knoxville, TN) were determined following the standard proposed by the International Electrotechnical Commission (IEC). The tests were expanded by some measurements concerning the accuracy of the correction algorithms and the geometric fidelity of the reconstructed images. The scanner consists of 32 rings, each with 576 BGO detectors (4.05/spl times/4.39/spl times/30 mm/sup 3/), covering an axial field-of-view of 15.5 cm and a patient port of 56.2 cm. The transaxial FWHM determined by a Gaussian fit in the 2D (3D) mode is 4.5 (4.3) mm at the center. It increases to 8.9 (8.3) mm radially and to 5.8 (5.2) mm tangentially at a radial distance of r=20 cm. The average axial resolution varies between 4.9 (4.1) mm FWHM at the center and 8.8 (8.1) mm at r=20 cm. The system sensitivity for unscattered true events is 5.85 (26.4) cps/Bq/ml (measured with a 20 cm cylinder). The 50% dead-time losses were reached for a true event count rate (including scatter) of 286 (500) kcps at an activity concentration of 74 (25) kBq/ml. The system scatter fraction is 0.24 (0.35). With the exception of the 3D attenuation correction algorithm, all correction algorithms work reliably. The results reveal that the ECAT EXACT HR/sup +/ has a good and nearly isotropic spatial resolution. Due to the small detector elements, however, it has a low slice sensitivity which is a limiting factor for image quality.


Journal of Image Guided Surgery | 1995

Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions

Simon K. Warfield; Joachim Dengler; Joachim Zaers; Charles R. G. Guttmann; William M. Wells; Gil J. Ettinger; John Hiller; Ron Kikinis

The segmentation of MRI scans of patients with white matter lesions (WML) is difficult because the MRI characteristics of WML are similar to those of gray matter. Intensity-based statistical classification techniques misclassify some WML as gray matter and some gray matter as WML. We developed a fast elastic matching algorithm that warps a reference data set containing information about the location of the gray matter into the approximate shape of the patients brain. The region of white matter was segmented after segmenting the cortex and deep gray matter structures. The cortex was identified by using a three-dimensional, region-growing algorithm that was constrained by anatomical, intensity gradient, and tissue class parameters. White matter and WML were then segmented without interference from gray matter by using a two-class minimum-distance classifier. Analysis of double-echo spin-echo MRI scans of 16 patients with clinically determined multiple sclerosis (MS) was carried out. The segmentation of the cortex and deep gray matter structures provided anatomical context. This was found to improve the segmentation of MS lesions by allowing correct classification of the white matter region despite the overlapping tissue class distributions of gray matter and MS lesion.


Medical Physics | 1999

Noninvasive determination of the arterial input function of an anticancer drug from dynamic PET scans using the population approach

Jutta Kissel; Rüdiger Port; Joachim Zaers; Matthias E. Bellemann; Ludwig G. Strauss; Uwe Haberkorn; Gunnar Brix

For the application of a kinetic model to PET data, it is generally necessary to obtain the arterial input function (AIF). It was the aim of the present study to introduce a method suitable for the determination of the AIF of a substance that undergoes biochemical transformation from noisy PET data: the population approach. F-18 labeled 5-fluorouracil (5-[18F]FU) was administered i.v. to eight patients suffering from liver metastases of colorectal carcinoma. Radioactivity concentrations in liver and aorta were dynamically measured with PET over 120 min. Pharmacokinetic analysis was carried out by applying a five-compartment model to individual activity-time data for the eight patients or to the mean activity-time data among the eight patients. The mean values of all parameters describing 5-FU transport and catabolism, i.e., volumes of distribution and clearances, as well as interindividual coefficients of variation (CV) were calculated according to both approaches. With our model, we were able to separate the concentration-time course of 5-FU in plasma, i.e., the AIF, from that of its major catabolite alpha-fluoro-beta-alanine (FBAL). As far as the mean parameter estimates are concerned, the differences between both approaches are not significant. For the liver data, the CVs are almost the same for both approaches. For the parameters concerning the aorta, however, there is a decrease in the CVs by using the population approach. For example, the CV of the central distribution volume of 5-FU was 30% for the individual approach and 18% for the population approach. With the population approach, it is possible to determine the AIF of drugs that undergo metabolic conversion, such as anticancer drugs, from the abdominal aorta visualized on PET images. The population approach helps to overcome noise in individual data. Since no measurements are needed in addition to the PET examination, the suggested method helps to reduce risk and pain for the patients as well as cost and thus facilitates large scale patient studies.


ieee nuclear science symposium | 1996

Performance evaluation of the whole-body PET scanner ECAT EXACT HR/sup +/

Lars-Eric Adam; Joachim Zaers; H. Ostertag; H. Trojan; M.E. Bellemann; G. Brix; W.J. Lorenz

The performance parameters of the whole-body PET scanner ECAT EXACT HR/sup +/ (CTI/Siemens, Knoxville, TN) were determined following the standard proposed by the International Electrotechnical Commission (IEC). The tests were expanded by some measurements concerning the accuracy of the correction algorithms and the geometric fidelity of the reconstructed images. The scanner consists of 32 rings, each with 576 BGO detectors (4.05/spl times/4.39/spl times/30 mm/sup 3/) covering an axial field-of-view of 15.5 cm and a patient port of 56.2 cm. The transaxial resolution in the 2D (3D) mode is 4.5 (4.3) mm at the center. It increases to 8.9 (8.3) mm radially and to 5.8 (5.2) mm tangentially at a radial distance of r=20 cm. The average axial resolution varies between 4.9 (4.1) mm FWHM at the center and 8.8 (8.1) mm at r=20 cm. The system sensitivity for true events is 5.85 (26.4) cps/Bq/ml (measured with a 20 cm cylinder phantom). The 50% dead-time losses where reached for a true event count rate of 286 (500) kcps at an activity concentration of 74 (25) kBq/ml. The system scatter fraction is 0.24 (0.35). The correction algorithms work reliable, except for the 3D attenuation correction. The ECAT EXACT HR/sup +/ has a good and nearly isotropic spatial resolution. Due to the small detector elements, however, it has a low slice sensitivity which is a limiting factor for image quality.


Journal of Image Guided Surgery | 1995

Laboratory Investigation:Automatic Identification of Gray Matter Structures from MRI to Improve the Segmentation of White Matter Lesions

Simon K. Warfield; Joachim Dengler; Joachim Zaers; Charles R. G. Guttmann; William M. Wells; Gil J. Ettinger; John Hiller; Ron Kikinis

The segmentation of MRI scans of patients with white matter lesions (WML) is difficult because the MRI characteristics of WML are similar to those of gray matter. Intensity-based statistical classification techniques misclassify some WML as gray matter and some gray matter as WML.We developed a fast elastic matching algorithm that warps a reference data set containing information about the location of the gray matter into the approximate shape of the patients brain. The region of white matter was segmented after segmenting the cortex and deep gray matter structures. The cortex was identified by using a three-dimensional, region-growing algorithm that was constrained by anatomical, intensity gradient, and tissue class parameters. White matter and WML were then segmented without interference from gray matter by using a two-class minimum-distance classifier.Analysis of double-echo spin-echo MRI scans of 16 patients with clinically determined multiple sclerosis (MS) was carried out. The segmentation of the c...


Radiologe | 1997

Quality assurance in X-ray mammography. Comparison of proposed EUREF guidelines with relevant German regulations

Joachim Zaers; S. van Woudenberg; Gunnar Brix

SummaryThe Program “Europe against Cancer” published the 2nd edition of quality assurance guidelines for breast cancer screening in June 1996. For the enforcement of these guidelines, a European network of reference centres (EUREF) is being established. Although the EUREF protocol contains guidelines for all disciplines involved in breast cancer screening, this article concentrates on the physical and technical aspect. The comparision with the German regulations (DIN Norms) demonstrates the high requirements requested by the EUREF guidelines with its tighter limits and more extensive and more frequent tests.ZusammenfassungIm Rahmen des „Europe-against-Cancer“-Programms hat die europäische Kommission im Juni 1996 neue Richtlinien für die Qualitätssicherung vom Brustkrebsscreeningstudien veröffentlicht, deren Einhaltung von einem Netzwerk von Referenzzentren für Brustkrebsscreeningstudien (EUREF) überwacht werden soll. Obwohl die Richtlinien alle involvierten Disziplinen (z. B. Radiologie, Radiographie, Pathologie) betreffen, konzentriert sich dieser Artikel auf die physikalisch-technischen Aspekte. Ein Vergleich mit den deutschen Vorschriften (DIN-Normen) unterstreicht die hohen Anforderungen, die die EUREF-Richtlinien durch strengere Grenzwerte und umfangreichere und häufigere Überprüfungen etablieren sollen.


The Journal of Nuclear Medicine | 1997

Performance Evaluation of a Whole-Body PET Scanner Using the NEMA Protocol

Gunnar Brix; Joachim Zaers; Lars Eric Adam; Matthias E. Bellemann; Hermann Ostertag; Herbert Trojan; Uwe Haberkorn; Josef Doll; Franz Oberdorfer; Walter J. Lorenz


Gastrointestinal Endoscopy Clinics of North America | 1996

Performance evaluation of the whole-body PET scanner ECAT EXACT HR +

Lars-Eric Adam; Joachim Zaers; Hermann Ostertag; Herbert Trojan; Matthias E. Bellemann; Gunnar Brix; Walter J. Lorenz


IEEE Transactions on Nuclear Science | 1998

Post-injection attenuation correction for PET scanners without measured random correction

Joachim Zaers; Josef Doll; Hermann Ostertag; Matthias E. Bellemann; Gunnar Brix


Nuklearmedizin Archiv | 2000

Mammadiagnostik mit PET: Optimierung der datenakquisition und - nachverarbeitung

Gunnar Brix; Marcus Henze; Josef Doll; Robert Lucht; Joachim Zaers; Herbert Trojan; Michael V. Knopp; Uwe Haberkorn

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Gunnar Brix

German Cancer Research Center

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Matthias E. Bellemann

German Cancer Research Center

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Josef Doll

German Cancer Research Center

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Herbert Trojan

German Cancer Research Center

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Hermann Ostertag

German Cancer Research Center

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Lars-Eric Adam

German Cancer Research Center

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Uwe Haberkorn

University Hospital Heidelberg

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Gil J. Ettinger

Massachusetts Institute of Technology

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John Hiller

University of California

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