Magnetic Particle Imaging (MPI) is a tracer-based tomographic non-ionizing imaging method providing fully three-dimensional spatial information at a high temporal resolution without any limitation in penetration depth. One challenge for current preclinical MPI systems is its modest spatial resolution in the range of 1 mm - 5 mm. Intravascular Optical Coherence Tomography (IVOCT) on the other hand, has a very high spatial and temporal resolution, but it does not provide an accurate 3D positioning of the IVOCT images. In this work, we will show that MPI and OCT can be combined to reconstruct an accurate IVOCT volume. A center of mass trajectory is estimated from the MPI data as a basis to reconstruct the poses of the IVOCT images. The feasibility of bimodal IVOCT and MPI imaging is demonstrated with a series of 3D printed vessel phantoms.
Needles provide an effective way to reach lesions in soft tissue and are frequently used for diagnosis
and treatment. Examples include biopsies, tumor ablation, and brachytherapy. Yet, precise
localization of the needle with respect to the target is complicated by motion and deformation of
the tissue during insertion.
We have developed a prototypical needle with an embedded optical fiber allowing to obtain
optical coherence tomography images of the tissue in front of the needle tip. Using the data and
particularly the Doppler information it is possible to estimate the motion of the needle tip with
respect to the surrounding soft tissue. We studied whether it is feasible to approximate the depth
in tissue by integrating over the relative velocity.
To validate the approach, the needle was driven into tissue phantoms using an articulated robotic
arm. The time when the needle entered and left the phantom was observed with optical cameras,
and the total motion of the robot was compared with the values computed from the Doppler OCTmeasurements.
Our preliminary results indicate that the Doppler data can provide additional information on
the needle position inside soft tissue. It could be used in addition to other image data to improve
precise needle navigation, particularly when other image modalities are subject to artifacts caused
by the needles.