Purpose:MRI‐based adaptive brachytherapy (ABT) is an emerging treatment modality for patients with gynecological tumors. However, MR image intensity non‐uniformities (IINU) can vary from fraction to fraction, complicating image interpretation and auto‐contouring accuracy. We demonstrate here an automated MR image standardization and auto‐contouring strategy for MRI‐based ABT of cervix cancer.Methods:MR image standardization consisted of: 1) IINU correction using the MNI N3 algorithm, 2) noise filtering using anisotropic diffusion, and 3) signal intensity normalization using the volumetric median. This post‐processing chain was implemented as a series of custom Matlab and Java extensions in MIM (v6.4.5, MIM Software) and was applied to 3D T2 SPACE images of six patients undergoing MRI‐based ABT at 3T. Coefficients of variation (CV=σ/µ) were calculated for both original and standardized images and compared using Mann‐Whitney tests. Patient‐specific cumulative MR atlases of bladder, rectum, and sigmoid contours were constructed throughout ABT, using original and standardized MR images from all previous ABT fractions. Auto‐contouring was performed in MIM two ways: 1) best‐match of one atlas image to the daily MR image, 2) multi‐match of all previous fraction atlas images to the daily MR image. Dice's Similarity Coefficients (DSCs) were calculated for auto‐generated contours relative to reference contours for both original and standardized MR images and compared using Mann‐Whitney tests.Results:Significant improvements in CV were detected following MR image standardization (p=0.0043), demonstrating an improvement in MR image uniformity. DSCs consistently increased for auto‐contoured bladder, rectum, and sigmoid following MR image standardization, with the highest DSCs detected when the combination of MR image standardization and multi‐match cumulative atlas‐based auto‐contouring was utilized.Conclusion:MR image standardization significantly improves MR image uniformity. The combination of MR image standardization and multi‐match cumulative atlas‐based auto‐contouring produced the highest DSCs and is a promising strategy for MRI‐based ABT for cervix cancer.