Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2012:2012:5412-5.
doi: 10.1109/EMBC.2012.6347218.

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging

Amir M Tahmasebi  1 , Reza Sharifi, Harsh K Agarwal, Baris Turkbey, Marcelino Bernardo, Peter Choyke, Peter Pinto, Bradford Wood, Jochen Kruecker
Affiliations

A statistical model-based technique for accounting for prostate gland deformation in endorectal coil-based MR imaging

Amir M Tahmasebi et al. Annu Int Conf IEEE Eng Med Biol Soc. 2012.

Abstract

In prostate brachytherapy procedures, combining high-resolution endorectal coil (ERC)-MRI with Computed Tomography (CT) images has shown to improve the diagnostic specificity for malignant tumors. Despite such advantage, there exists a major complication in fusion of the two imaging modalities due to the deformation of the prostate shape in ERC-MRI. Conventionally, nonlinear deformable registration techniques have been utilized to account for such deformation. In this work, we present a model-based technique for accounting for the deformation of the prostate gland in ERC-MR imaging, in which a unique deformation vector is estimated for every point within the prostate gland. Modes of deformation for every point in the prostate are statistically identified using a set of MR-based training set (with and without ERC-MRI). Deformation of the prostate from a deformed (ERC-MRI) to a non-deformed state in a different modality (CT) is then realized by first calculating partial deformation information for a limited number of points (such as surface points or anatomical landmarks) and then utilizing the calculated deformation from a subset of the points to determine the coefficient values for the modes of deformations provided by the statistical deformation model. Using a leave-one-out cross-validation, our results demonstrated a mean estimation error of 1mm for a MR-to-MR registration.

PubMed Disclaimer

Figures

Fig. 1
Fig. 1
MRI with and without ERC.
Fig. 2
Fig. 2
Flowchart of the proposed method. See Section II for details.
Fig. 3
Fig. 3
Mean±std of the normalized eigen coefficients from 72 cases calculated in a leave-one-out framework.
Fig. 4
Fig. 4
(a) Distribution of error between the estimated and the actual deformation field combining all 72 cases from the leave-one-out cross-validation. Mean error is depicted by a red vertical line; (b) Localization of the distribution of error between the estimated and the actual deformation field combining all 72 cases from the leave-one-out cross-validation. The distribution is thresholded at 0.25th and 0.75th quantiles.
Fig. 5
Fig. 5
Error of estimation from the leave-one-out cross-validation for different number of deformation modes.
See this image and copyright information in PMC

References

    1. Schnall YIMD, Lenkinski RE, Pollack HM, Kressel H. Prostate: MR imaging with an endorectal surface coil. Comput Med Imaging Graph. 1989;172:570–574. - PubMed
    1. Sanchez-Chapado M, Angulo JC, Ibarburen C, Aguado F, Ruiz A, Viano J, Garcia-Segura JM, Gonzalez-Esteban J, Rodriquez-Vallejo JM. Comparison of digital rectal examination, transrectal ultrasonography, and multicoil magnetic resonance imaging for preoperative evaluation of prostate cancer. Eur Urol. 1997;21:140–149. - PubMed
    1. Meyer CR, Boes JL, Kim B, Bland PH, Zasadny KR, Kison PV, Koral K, Frey KA, Wahl RL. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med Image Anal. 1997;1:195–206. - PubMed
    1. Fei B, Wheaton A, Lee Z, Duerk JL, Wilson DL. Automatic mr volume registration and its evaluation for the pelvis and prostate. Phys Med Biol. 2002;47:823–838. - PubMed
    1. Fei B, Kemper C, Wilson DL. A comparative study of warping and rigid body registration for the prostate and pelvic MR volumes. Comput Med Imaging Graph. 2003;27:267–281. - PubMed

Publication types

LinkOut - more resources