Biomedical subjects

G Ende

Publications and source records attributed to G Ende.

21 records · Page 2Linked to original sources

PubMed1993

Dynamic 13C-1H nuclear polarization of lipid methylene resonances applied to broadband proton-decoupled in vivo 13C MR spectroscopy of human breast and calf tissue.

Dynamic nuclear polarization of the coupled 13C-1H spin system was studied for optimizing the signal-to-noise ratio of in vivo 13C MR spectra. In particular, the truncated driven and transient nuclear Overhauser effect (NOE) of the proton-decoupled 13C resonances from methylene carbons in vegetable oil and in human calf tissue was observed. Maximum in vivo NOE enhancements eta = 1.5 and 0.9 were found, respectively. Theoretical fits to the data yield 13C-1H cross-relaxation times in the order of 0.6 s. Significant signal enhancement over the whole in vivo 13C chemical shift range is obtained with minimum expense utilizing the NOE of the dipolar coupled 13C-1H spin system in addition to proton-decoupling. NOE-enhanced proton-decoupled in vivo 13C MR spectra were acquired within 17 min in volunteer examinations from the human breast and the calf. These spectra show well-resolved resonances of carbons in lipids and several other cellular compounds.

Breast↗

PubMed1993

[Magnetic resonance spectroscopy of breast cancer].

Conservative therapeutic concepts with initial chemotherapy for patients with breast cancer represent a challenge to non-invasive techniques for monitoring response to therapy. Experimental magnetic resonance spectroscopy studies have been able to show exemplary applications for therapy monitoring of breast cancer patients. The characteristic phosphomonoester resonances and their changes during therapy are possible clinical parameters. The additional information which can be obtained from proton and carbon spectroscopy increases the amount of detectable metabolites. On-going studies are investigating clinical applications of multinuclear spectroscopic studies in patients with breast cancer.

Breast Neoplasms↗

PubMed1992

Optimization and evaluation of landmark-based image correlation.

Image correlation methods enable the complementary use of information from different medical images of a patient. These images can be obtained from different imaging devices (CT, MR, PET), or, from one imaging device taken at different times. Unfortunately, there are few cases in which the requirements for later image correlation are taken into account at the time of image acquisition. There is therefore a need for correlation techniques requiring no preparation in advance. We have developed two correlation methods, both based on three or more anatomical or artificial landmarks, to be defined in corresponding image data sets. These methods have been evaluated with phantom data as well as with patient data. We have improved these correlation methods by using more landmarks and special selection criteria. They are applicable to all medical tomograms and to x-ray pictures taken under stereotactical conditions. The results obtained have error ranges in the order of the three-dimensional image resolution.

Diagnostic Imaging↗