Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction

@inproceedings{Patel2014AutomaticDO,
  title={Automatic Determination of Anatomical Correspondences for Multimodal Field of View Correction},
  author={Hima Patel and Karthik S. Gurumoorthy and Seshadri Thiruvenkadam},
  booktitle={GCPR},
  year={2014}
}
In spite of a huge body of work in medical image registration, there seems to be very little effort in Field of View (FOV) correction or anatomical overlap estimation especially for multi-modal studies. This is a key step for most registration algorithms to work on image volumes of different coverages. In this work, we consider the FOV correction problem between Computed Tomography (CT) and Magnetic Resonance Imaging (MRI) image volumes for the same patient. A novel algorithm composed of a… 
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References

SHOWING 1-10 OF 19 REFERENCES

Automatic non-rigid mismatch correction algorithm for CT-CT longitudinal oncology studies

TLDR
This work presents a fully automatic algorithm to handle above challenges using a novel graph-matching approach to initialize rigid registration under large coverage mismatches and an approximate, 1D diffeomorphic framework using patch based normalized image gradients to handle NRR.

Mutual-information-based registration of medical images: a survey

TLDR
An overview is presented of the medical image processing literature on mutual-information-based registration, an introduction for those new to the field, an overview for those working in the field and a reference for those searching for literature on a specific application.

An automated method for rotational correction and centering of three-dimensional functional brain images.

TLDR
An automated method was developed to align brain PET images into a standard three-dimensional orientation and it is indicated that performance of the algorithm is not sensitive to focal asymmetries.

Correlation methods for the centering, rotation, and alignment of functional brain images.

Simple methods are described using correlation analysis to rotate functional brain images to a standard vertical orientation, identify the antero-posterior centerline, and align multiple images from

On the registrability of two CT volumes

TLDR
A method to determine whether two CT volumes overlap in anatomy or not is described, which is successful in identifying the overlapping (or registrable) cases automatically and not using the residual error after registration.

Efficient segmentation using feature-based graph partitioning active contours

TLDR
A new algorithm is described that implements the exact GPAC algorithm using a constant memory requirement of a few kilobytes, independent of image size.

Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns

TLDR
A generalized gray-scale and rotation invariant operator presentation that allows for detecting the "uniform" patterns for any quantization of the angular space and for any spatial resolution and presents a method for combining multiple operators for multiresolution analysis.

FREAK: Fast Retina Keypoint

TLDR
This work proposes a novel keypoint descriptor inspired by the human visual system and more precisely the retina, coined Fast Retina Keypoint (FREAK), which is in general faster to compute with lower memory load and also more robust than SIFT, SURF or BRISK.

Phase and sensitivity of receiver coils in magnetic resonance imaging.

TLDR
A method is developed which corrects for both the nonuniform sensitivity and the phase shifts introduced by receiver coils, and which compares the results with measurements of a uniform phantom.