Computer-aided lesion detection and track planning for MRI-guided breast biopsy
The system and method of the invention pertains to an MR-guided breast biopsy procedure, specifically as to quickly identifying the biopsy location. More particularly, the system utilizes a diagnostic imaging modality such as magnetic resonance imaging (MRI) to locate one or more lesions in a human breast. Non-rigid registration between uncompressed screening images (where the lesion has been previously identified) and the compressed biopsy images enables easier identification of the biopsy site, hence shortening the biopsy procedure.
1. A method for identifying a lesion within a breast during an interventional magnetic resonance imaging (MRI)-guided breast biopsy procedure, the method comprising the steps of:
acquiring one or more screening images of the breast that is uncompressed in a screening exam by an MRI;
segmenting the lesion on the one or more screening images,
creating a three-dimensional (3D) lesion mask of the segmented lesion on the screening images;
acquiring one or more additional images of the breast that is compressed in an interventional MRI-guided breast biopsy procedure to produce interventional images, absent contrast enhancement;
providing a computer processor for performing a non-rigid registration procedure between the uncompressed breast screening images from the screening exam and the compressed breast interventional images from the interventional MRI-guided breast biopsy procedure,
wherein a transformation is produced to relate the one or more uncompressed breast screening images to the one or more compressed breast interventional images;
wherein the step of performing non-rigid registration comprises (a) starting with a translation of the interventional images in order to overlap a field of view of the interventional images with a field of view of the screening images and (b) ending with the non-rigid registration procedure based on mutual information shared between the screening images and the interventional images; and
displaying on a display unit the 3D lesion mask on the interventional images to a clinician to identify a target location of the lesion.
2. The method of claim 1 , wherein the step of displaying the 3D lesion mask on the interventional images occurs during the interventional exam.
3. The method of claim 1 , wherein the step of acquiring one or more images in the interventional exam further comprises a step of introducing a contrast agent.
4. The method of claim 1 , wherein the step of segmenting the lesion, manual seed placement is designated by a clinician.
5. The method of claim 1 , further comprising a step of growing a 3D volume around the lesion using thresholds set by the clinician.
6. The method of claim 4 , further comprising a step of growing a 3D volume around the lesion using a 3D volume expansion algorithm as controlled by a computer processor.