In magnetic resonance imaging, implantable devices are usually visualized with a negative contrast. Recently, positive contrast techniques have been proposed, such as susceptibility gradient mapping (SGM). However, SGM reduces the spatial resolution making positive visualization of small structures difficult. Here, a development of SGM using the original resolution (SUMO) is presented. For this, a filter is applied in k-space and the signal amplitude is analyzed in the image domain to determine quantitatively the susceptibility gradient for each pixel. It is shown in simulations and experiments that SUMO results in a better visualization of small structures in comparison to SGM. SUMO is applied to patient datasets for visualization of stent and prostate brachytherapy seeds. In addition, SUMO also provides quantitative information about the number of prostate brachytherapy seeds. The method might be extended to application for visualization of other interventional devices, and, like SGM, it might also be used to visualize magnetically labelled cells. Computed tomography (CT) is currently the imaging modality of choice to assess the position of implantable devices such as endovascular stent grafts (1) or prostate brachytherapy seeds (2). Although CT allows relatively easy visualization of stents, their functional assessment (patency) by flow measurements is limited. Furthermore, CT is used to assess the dosimetry of prostate brachytherapy seeds post implant. However, due to the limited soft tissue contrast of CT, the prostate is often not adequately depicted, which can result in overestimation of its volume (3). Magnetic resonance imaging (MRI), which provides superior soft-tissue imaging and no known biologically harmful effects, is becoming an alternative modality to guide and assess interventional procedures. Combined X-ray radiography and MRI systems have been shown to provide an alternative method for combining the advantages of MRI with a more accurate device depiction from X-ray (4,5). However, coregistration of MR and X-ray data is subject to error from movement and/or misregistration. Therefore, a more reliable MR-visualization of metallic devices is of interest.In MRI, the visualization of metallic devices such as endovascular stent grafts or prostate brachytherapy seeds (6) is traditionally based on signal voids due to local susceptibility gradients. It has been shown that for better visualization of devices, it is attractive to convert the signal loss into positive contrast (7). For this, a variety of positive contrast techniques have been proposed (8,9), but often require optimization based on the magnitude of the local field gradients and local off-resonance effects. These are either applied during image acquisition or in a postprocessing step afterward. In particular, susceptibility gradient mapping (SGM) allows the production of a positive contrast image from the acquired complex image data (10). For this, a short-term Fourier transform (STFT) is applied for each pixel computed over a small number ...