Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

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Figure 6: Segmentation results using GC-adapted-prior for a case with four probes. a: Manually labeled tumor (red) by an expert interventionalist in the baseline scan. b–f: Automatically segmented iceball (yellow contour) at 3, 6, 9, 12, and 15 min of the first freeze cycle; the tumor label is transferred and overlaid on each image, as we assume only slight misregistration occurs between these images and the baseline scan.
Figure 6: Segmentation results using GC-adapted-prior for a case with four probes. a: Manually labeled tumor (red) by an expert interventionalist in the baseline scan. b–f: Automatically segmented iceball (yellow contour) at 3, 6, 9, 12, and 15 min of the first freeze cycle; the tumor label is transferred and overlaid on each image, as we assume only slight misregistration occurs between these images and the baseline scan.
Whole mount histopathologic correlation with prostate multiparametric MRI. (A): Histopathologic whole mount outlining a left peripheral zone tumor with a Gleason score 4 + 3 = 7 (outlined in blue ink). Black dotted line differentiates peripheral zone from central gland. Corresponding tumor is seen as an area of low signal intensity on the T2-weighted image (B), as an area of restricted diffusion on ADC maps derived from DWI (b0-500) (C) and (b0-1400) (D), and as an area of high signal intensity on DCE subtraction map (E). The tumor is outlined by black arrowheads on mpMRI , and comparison volume of right peripheral zone which did not contain tumor is outlined on subtraction DCE (E) by arrows.
Whole mount histopathologic correlation with prostate multiparametric MRI. (A): Histopathologic whole mount outlining a left peripheral zone tumor with a Gleason score 4 + 3 = 7 (outlined in blue ink). Black dotted line differentiates peripheral zone from central gland. Corresponding tumor is seen as an area of low signal intensity on the T2-weighted image (B), as an area of restricted diffusion on ADC maps derived from DWI (b0-500) (C) and (b0-1400) (D), and as an area of high signal intensity on DCE subtraction map (E). The tumor is outlined by black arrowheads on mpMRI , and comparison volume of right peripheral zone which did not contain tumor is outlined on subtraction DCE (E) by arrows.
Left: The schematic shows the spatial selection scheme used in the IV-CPMG sequence whereby the slice selection profile is tilted with respect to the refocusing profile. This has the effect of restricting the imaging volume in a second (phase-encoding) direction. Right top: Full FOV phantom image. Right-bottom: A reduced FOV image (1/3 FOV in both phase and frequency directions) of the same phantom. The image was produced using an in-house-modified clinical fast-spin-echo sequence. The FSE sequence has an option whereby all spin echoes in the echo train are phase encoded identically allowing for T2-mapping.
Left: The schematic shows the spatial selection scheme used in the IV-CPMG sequence whereby the slice selection profile is tilted with respect to the refocusing profile. This has the effect of restricting the imaging volume in a second (phase-encoding) direction. Right top: Full FOV phantom image. Right-bottom: A reduced FOV image (1/3 FOV in both phase and frequency directions) of the same phantom. The image was produced using an in-house-modified clinical fast-spin-echo sequence. The FSE sequence has an option whereby all spin echoes in the echo train are phase encoded identically allowing for T2-mapping.
Figure 1. Illustrative example of discordant localization of the suspected prostate cancer (PCa), where whole mount pathology (WMP) was necessary to accurately identify the PCa. Top: PCa localization using whole mount annotations as the reference; the PCa chosen was identified on the left of the patient's prostate, as defined from WMP. Bottom: PCa localization using SPR, however, chose a suspicious-appearing lesion on the right as the PCa (outlined in green). Note: normal peripheral zone is outlined in yellow on the same slide in this case. ADC, apparent diffusion coefficient; SPR, surgical pathology report; T2W, T2-weighted imaging; WMP, whole mount pathology.
Figure 1. Illustrative example of discordant localization of the suspected prostate cancer (PCa), where whole mount pathology (WMP) was necessary to accurately identify the PCa. Top: PCa localization using whole mount annotations as the reference; the PCa chosen was identified on the left of the patient's prostate, as defined from WMP. Bottom: PCa localization using SPR, however, chose a suspicious-appearing lesion on the right as the PCa (outlined in green). Note: normal peripheral zone is outlined in yellow on the same slide in this case. ADC, apparent diffusion coefficient; SPR, surgical pathology report; T2W, T2-weighted imaging; WMP, whole mount pathology.
Figure 3: Screenshot shows intraprocedural visualization of imaging for needle position confirmation for transperineal prostate biopsy in a 71-year-old man with no rectal access and increasing PSA (31.09 ng/dL [31.09 μg/L]). Targeted biopsy yielded Gleason 4+3 PCa in right anterior central gland. Image shows 3D Slicer targeting module during biopsy with needle confirmation image loaded. Left: control panel. Top middle: axial T2-weighted MR image. Top right: three-dimensional view, including calculated needle path (arrow). Bottom middle: sagittal T2-weighted MR image shows target and needle tract. Bottom right: coronal T2-weighted MR image, with target and needle track. RGC = right central gland.
Figure 3: Screenshot shows intraprocedural visualization of imaging for needle position confirmation for transperineal prostate biopsy in a 71-year-old man with no rectal access and increasing PSA (31.09 ng/dL [31.09 μg/L]). Targeted biopsy yielded Gleason 4+3 PCa in right anterior central gland. Image shows 3D Slicer targeting module during biopsy with needle confirmation image loaded. Left: control panel. Top middle: axial T2-weighted MR image. Top right: three-dimensional view, including calculated needle path (arrow). Bottom middle: sagittal T2-weighted MR image shows target and needle tract. Bottom right: coronal T2-weighted MR image, with target and needle track. RGC = right central gland.
Figure 1: Regions of interest (ROI) placement on PET and corresponding magnetic resonance images. The figure shows an example of the ROI placement in gray and white matter regions and in germinal zones on magnetic resonance imaging (upper panel) and coregistration with corresponding PET scans (lower panel). From a total of 24 regions both SUVmean and SUVmax were obtained. SUVs were analyzed longitudinally over time for each patient in all ROI, to include a pre- and postchemotherapy data set. (1,2): right and left cerebellar cortex; (3,4): right and left medial temporal lobe and hippocampus; (5,6): right and left orbitofrontal cortex/olfactory gyrus; (7,8): right and left anterior and posterior subventricular zone; (9,10): right and left caudate nucleus; (11,12): right and left thalamus; (13,14): right and left periventricular white matter; (15): corpus callosum (splenium); (16,17): right and left frontal cortex; (18,19): right and left subcortical white matter; Not shown in this representative image are: right and left parietal cortex, corpus callosum (genu), posterior cingulate, and cerebellar white matter. PET, positron emission tomography; SUV, standardized uptake value.
Figure 1: Regions of interest (ROI) placement on PET and corresponding magnetic resonance images. The figure shows an example of the ROI placement in gray and white matter regions and in germinal zones on magnetic resonance imaging (upper panel) and coregistration with corresponding PET scans (lower panel). From a total of 24 regions both SUVmean and SUVmax were obtained. SUVs were analyzed longitudinally over time for each patient in all ROI, to include a pre- and postchemotherapy data set. (1,2): right and left cerebellar cortex; (3,4): right and left medial temporal lobe and hippocampus; (5,6): right and left orbitofrontal cortex/olfactory gyrus; (7,8): right and left anterior and posterior subventricular zone; (9,10): right and left caudate nucleus; (11,12): right and left thalamus; (13,14): right and left periventricular white matter; (15): corpus callosum (splenium); (16,17): right and left frontal cortex; (18,19): right and left subcortical white matter; Not shown in this representative image are: right and left parietal cortex, corpus callosum (genu), posterior cingulate, and cerebellar white matter. PET, positron emission tomography; SUV, standardized uptake value.
Figure 1: Illustration of the whole brain with three cutting planes and three sectional views of the brain sampled at the cutting planes.
Figure 1: Illustration of the whole brain with three cutting planes and three sectional views of the brain sampled at the cutting planes.
Figure 5: The simple DICOM image viewer in Tab 4 of the client lets users view downloaded studies. Selected studies are organized on top left by patient ID, study UID, series UID, and image ID (4a). The bottom left panel shows a list of studies already downloaded to local machine (4b)
Figure 5: The simple DICOM image viewer in Tab 4 of the client lets users view downloaded studies. Selected studies are organized on top left by patient ID, study UID, series UID, and image ID (4a). The bottom left panel shows a list of studies already downloaded to local machine (4b)
Figure 2: Example of representative lung features ρr . Each column shows a single feature in axial and frontal view.
Figure 2: Example of representative lung features ρr . Each column shows a single feature in axial and frontal view.
Figure 1: Fixed (red) and moving (blue) images and the overlay of both grids after transformation (middle). The interpolation uncertainty varies across the resampled image due to different distances to neighboring points on the moving grid. Arrows point to two exemplary locations on the fixed grid where neighbors from the moving grid are close and far, respectively (right).
Figure 1: Fixed (red) and moving (blue) images and the overlay of both grids after transformation (middle). The interpolation uncertainty varies across the resampled image due to different distances to neighboring points on the moving grid. Arrows point to two exemplary locations on the fixed grid where neighbors from the moving grid are close and far, respectively (right).
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