[HTML][HTML] Motion estimation and correction in SPECT, PET and CT
Patient motion impacts single photon emission computed tomography (SPECT), positron
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
emission tomography (PET) and x-ray computed tomography (CT) by giving rise to …
Hamiltonian systems and optimal control in computational anatomy: 100 years since D'Arcy Thompson
The Computational Anatomy project is the morphome-scale study of shape and form, which
we model as an orbit under diffeomorphic group action. Metric comparison calculates the …
we model as an orbit under diffeomorphic group action. Metric comparison calculates the …
TIMBIR: A method for time-space reconstruction from interlaced views
KA Mohan, SV Venkatakrishnan… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Synchrotron X-ray computed tomography (SXCT) is increasingly being used for 3-D imaging
of material samples at micron and finer scales. The success of these techniques has …
of material samples at micron and finer scales. The success of these techniques has …
Liver 4DMRI: a retrospective image‐based sorting method
Purpose: Four‐dimensional magnetic resonance imaging (4DMRI) is an emerging
technique in radiotherapy treatment planning for organ motion quantification. In this paper …
technique in radiotherapy treatment planning for organ motion quantification. In this paper …
A generalized framework unifying image registration and respiratory motion models and incorporating image reconstruction, for partial image data or full images
Surrogate-driven respiratory motion models relate the motion of the internal anatomy to
easily acquired respiratory surrogate signals, such as the motion of the skin surface. They …
easily acquired respiratory surrogate signals, such as the motion of the skin surface. They …
Projection-based dynamic tomography
Objective. This paper proposes a 4D dynamic tomography framework that allows a moving
sample to be imaged in a tomograph as well as the associated space-time kinematics to be …
sample to be imaged in a tomograph as well as the associated space-time kinematics to be …
A new variational model for joint image reconstruction and motion estimation in spatiotemporal imaging
We propose a new variational model for joint image reconstruction and motion estimation
applicable to spatiotemporal imaging, which is investigated along a general framework that …
applicable to spatiotemporal imaging, which is investigated along a general framework that …
Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches
SV Venkatakrishnan, KA Mohan… - IEEE Signal …, 2021 - ieeexplore.ieee.org
Multiscale 3D characterization is widely used by materials scientists to further their
understanding of the relationships between microscopic structure and macroscopic function …
understanding of the relationships between microscopic structure and macroscopic function …
Detecting default mode networks in utero by integrated 4D fMRI reconstruction and analysis
S Seshamani, AI Blazejewska, S Mckown… - Human brain …, 2016 - Wiley Online Library
Recently, there has been considerable interest, especially for in utero imaging, in the
detection of functional connectivity in subjects whose motion cannot be controlled while in …
detection of functional connectivity in subjects whose motion cannot be controlled while in …
[HTML][HTML] Generalized div-curl based regularization for physically constrained deformable image registration
P Tzitzimpasis, M Ries, BW Raaymakers, C Zachiu - Scientific Reports, 2024 - nature.com
Variational image registration methods commonly employ a similarity metric and a
regularization term that renders the minimization problem well-posed. However, many …
regularization term that renders the minimization problem well-posed. However, many …