Abstract:
Disclosed is a method for registration of scans of an object, such as a biological organ, by obtaining scans of the object that includes a first scan obtained with the object in a first position and a second scan obtained with the object in a second position different from the first position, extracting landmarks within each of the scans, flattening each of the scans, detecting feature points of each of the flattened scans, matching corresponding feature points of each of the flattened scans, performing a harmonic map registration using the matched corresponding feature points and displaying the registered scans.
Abstract:
In accordance with the present invention, a method for determining a centerline through a region of interest in a 3D image dataset is provided. The method includes identifying the boundaries of the region of interest and identifying the endpoints of the region of interest. For those points within the boundaries, a penalty value which is a function of the proximity of the point to a boundary is determined. A centerline is then identified by the path connecting the endpoints which has the minimum penalized distance wherein the penalized distance reflects the actual accumulated pathlength and the penalties associated with the points along the path. From the centerline, branches of a complete skeleton can be established by determining branch endpoints and then finding the minimum penalized distance from each endpoint the centerline or another intersecting branch.
Abstract:
A method of computer aided treatment planning is performed by generating and manipulating a three dimensional (3D) image of a region which includes at least one anatomical structure for which treatment, such as surgery, biopsy, tissue component analysis, prothesis implantation, radiation, chemotherapy and the like, is contemplated. A virtual intervention, which simulates at least a portion of the contemplated treatment, is performed in the 3D image. The user can then determine the effect of the intervention and interactively modify the intervention for improved treatment results. Preferably, a warning is automatically provided if the intervention posses a risk of detrimental effect. The user can navigate through the contemplated region in the 3D image and asses the results. The treatment plans can be saved for comparison and post treatment evaluation.
Abstract:
Disclosed is a method for registration of scans of an object, such as a biological organ, by obtaining scans of the object that includes a first scan obtained with the object in a first position and a second scan obtained with the object in a second position different from the first position, extracting landmarks within each of the scans, flattening each of the scans, detecting feature points of each of the flattened scans, matching corresponding feature points of each of the flattened scans, performing a harmonic map registration using the matched corresponding feature points and displaying the registered scans.
Abstract:
Imaging systems and methods for processing and rendering volumetric images of a selected organ for virtual endoscopy applications are provided, which enable visualization and navigation of the imaged organ from within a lumen/cavity of the organ. For example, methods are provided for preparing 3D volumetric images of colons for virtual endoscopy application which do not require administration of oral laxatives or suppositories for patient bowel preparation. In particular, an imaging method which can be implemented for virtual colonoscopy applications, includes a process of obtaining an image dataset comprising image data of a colon (step 11) that is prepared (step 10) to tag regions of colonic residue in a manner that enhances a contrast between tagged regions of colonic residue in a lumen of the colon and a colon wall; segmenting (step 12) a region of interest in the image dataset, the region of interest comprising the colon lumen, the colon wall, and regions of tagged residue in the colon lumen; electronically cleaning (step 13) the tagged residue in the colon lumen using a gradient feature data obtained from the image dataset using a maximum directional gradient feature analysis; and rendering (step 14) a volumetric image comprising an endoluminal view at a region within the imaged colon.
Abstract:
In accordance with the present invention, a method for determining a centerline through a region of interest in a 3D image database is provided (Figure 1). The method includes identifying the boundaries of the region of interest and identifying the endpoints of the region of interest. For those points within the boundaries, a penalty value which is a function of the proximity of the point to a boundary is determined. A centerline is then identified by the path connecting the endpoints which has the minimum penalized distance wherein the penalized distance reflects the actual accumulated pathlength and the penalties associated with the points along the path (Figure 9A). From the centerline, branches of a complete skeleton can be established by determining branch endpoints and then finding the minimum penalized distance from each endpoint the centerline or another intersecting branch (Figure 9b).
Abstract:
In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.
Abstract:
Figure 5 is a pictorial diagram illustrating a branched section of a blood vessel with plaque build-up resulting in stenosis. From step 315, the lumen of the artery (500) can be extracted and the regions of possible stenosis (505) can be identified. The artery exhibits a first arterial section (510) which branches at a bifurcation point (515) into an internal arterial branch (520) and an external arterial branch (525). The bifurcation point (515) can be determined and selected as the control point for subsequent registration operations.
Abstract:
A system and method for generating a three-dimensional visualization image of an object such as an organ using volume visualization techniques and exploring the image using a guided navigation system which allows the operator to travel along a flight path and to adjust the view to a particular portion of the image of interest in order, for example, to identify polyps, cysts or other abnormal features in the visualized organ. An electronic biopsy can also be performed on an identified growth or mass in the visualized object. Virtual colonoscopy can be enhanced by electronically removing residual stool, fluid and non-colonic tissue from the image of the colon, by employing bowel preparation followed by image segmentation operations. Methods are also employed for virtually expanding regions of colon collapse using image segmentation results.
Abstract:
In the present methods, the automatic detection of polyps is converted into a 2D pattern recognition problem using conformal mapping and direct volume rendering. The colon surface is first segmented and extracted from the CT data set of the abdomen, which is then mapped to a 2D plane using conformal mapping. Ray casting is used to determine sub-surface density values and the flattened image is rendered using a volume rendering technique with a translucent electronic biopsy transfer function. Polyp candidates are detected by a clustering method which identifies regions of elevated sub-surface density. The potential for false positives is reduced by analyzing the volumetric shape and texture features of the polyp candidate regions.