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Abstract:Abstract Use of a single-slice (2D) display for observer studies may bias results and reduce the study's clinical generalizability. Human observers perform better at the task of lesion detection with 3D-processed images than they do with 2D-processed images when the images are presented using a 2D display. However, 3D-processing techniques incorporate information from out-of-plane or adjacent slices into an image and thus provide more information to the observer than does a similar 2D-processing method. Observer performance with 2D-processing methods may improve if the adjacent-slice information is provided by way of a multi-slice (3D) display. 3D processing also introduces 3D distracters which may not be present with 2D processing. The authors investigated, with a human-observer LROC study, the impact of 2D versus 3D display on FBP and OSEM reconstruction followed by 2D and 3D filtering. Three display modes were used: single-slice, multi-slice, and multi-slice with cine. The emulated clinical task was the detection and localization of small gallium lesions in thoracic SPECT scans. Results indicate that 3D display generally improves performance over the 2D display, as measured by the area under the LROC curve and the probability of correct localization. The improvement is greater for 2D- than for 3D-filtered reconstruction leading to a reduction in the significance of the differences between them
Abstract Use of a single-slice (2D) display for observer studies may bias results and reduce the study's clinical generalizability. Human observers perform better at the task of lesion detection with 3D-processed images than they do with 2D-processed images when the images are presented using a 2D display. However, 3D-processing techniques incorporate information from out-of-plane or adjacent slices into an image and thus provide more information to the observer than does a similar 2D-processing method. Observer performance with 2D-processing ...
Abstract Use of a single-slice (2D) display for observer studies may bias results acid reduce the studies' clinical generalizability. Human observers perform better at the task of lesion detection with 3D-processed images than they do with 2D-processed images when the images are presented using a 2D display. However, 3D-processing techniques incorporate information from out-of-plane or adjacent slices into an image and thus provide more information to the observer than does a similar 2D-processing method. Observer performance with 2D-processin...
Abstract Scatter correction is an important factor in single photon emission computed tomography (SPECT). Many scatter correction techniques, such as multiple-window subtraction and intrinsic modeling with iterative algorithms, have been under study for many years. Previously, the authors developed an efficient slice-to-slice blurring technique to model attenuation and system geometric response in a projector/backprojector pair, which was used in an ML-EM algorithm to reconstruct SPECT data. This paper proposes a projector/backprojector that m...
Abstract Not Available
Abstract Scatter correction is an important factor in single photon emission computed tomography (SPECT). Many scatter correction techniques, such as multiple-window subtraction and intrinsic modeling with iterative algorithms, have been under study for many years. Previously, the authors developed an efficient slice-to-slice blurring technique to model attenuation and system geometric response in a projector/backprojector pair, which was used in an ML-EM algorithm to reconstruct SPECT data. This paper proposes a projector/backprojector that m...
Abstract Scatter correction is an important factor in single photon emission computed tomography (SPECT). Many scatter correction techniques, such as multiple-window subtraction and intrinsic modeling with iterative algorithms, have been under study for many years. Previously, the authors developed an efficient slice-to-slice blurring technique to model attenuation and system geometric response in a projector/backprojector pair, which was used in an ML-EM algorithm to reconstruct SPECT data. This paper proposes a projector/backprojector that m...
Abstract Scatter correction is an important factor in single photon emission computed tomography (SPECT). Many scatter correction techniques, such as multiple-window subtraction and intrinsic modeling with iterative algorithms, have been under study for many years. Previously, the authors developed an efficient slice-to-slice blurring technique to model attenuation and system geometric response in a projector/backprojector pair, which was used in an ML-EM algorithm to reconstruct SPECT data. This paper proposes a projector/backprojector that m...
Abstract One of the main challenges with magnetic resonance (MR) cardiac image acquisition is to account for cardiac motion due to respiration. A popular technique to reduce respiratory motion is to perform a multi-slice acquisition in which a patient holds their breath multiple times during the scan. This paper explores the feasibility of using rigid slice-to-volume registration to correct for misalignments of slice stacks in such images due to differing breath-hold positions. The experimental results indicate that slice-to-volume registratio...
An automated method for the segmentation of thrombus in abdominal aortic aneurysms (AAA) from CTA data is presented. Three segmentation schemes, inspired by Active Shape Model (ASM) segmentation, were investigated. (1) The original ASM scheme as proposed by Cootes and Taylor [1], applied to sequential slices, using the contour obtained in one slice as the initial contour in the adjacent slice. (2) A similar approach, steered by profile greyvalue correlation with adjacent slices rather than by correlation with profiles from the training data and...
An automated method for the segmentation of thrombus in abdominal aortic aneurysms (AAA) from CTA data is presented. Three segmentation schemes, inspired by Active Shape Model (ASM) segmentation, were investigated. (1) The original ASM scheme as proposed by Cootes and Taylor [1], applied to sequential slices, using the contour obtained in one slice as the initial contour in the adjacent slice. (2) A similar approach, steered by profile greyvalue correlation with adjacent slices rather than by correlation with profiles from the training data and...