lesion_identification: MS Lesion Center Identification + Lesion Labelling

In carolynlou/prlr: MS Lesion Identification and PRL Classification

Description

This function takes in a lesion probability map, a lesion segmentation mask, and a T2*-phase image for a single subject and identifies + classifies lesions as PRL or not.

Usage

lesion_identification(probmap, lesmask)

Arguments

probmap	Lesion probability map. We recommend using lesion segmentation algorithm MIMoSA.
lesmask	Lesion segmentation mask. Given a probability threshold, automatically binarizes lesion probability map into a segmentation mask.

Value

A list with two NIfTI files: one with the identified lesion centers, and one with labels for each identified lesion.

carolynlou/prlr documentation built on Oct. 2, 2020, 10:28 a.m.