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Introduction to Brain and Medical Images

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Moo K. Chung

Image and Video Processing · Submitted 9 Mar 2021

abstract compiled · 2026-09-23 · no language-model review

The authors' main claim The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI).

how it is stated · asserted 1.00 read the record →

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arXiv ID2103.05772 (version 1)
Pith ID7YVNAU7U, Pith's permanent record of this paper and its review
CitationMoo K. Chung. "Introduction to Brain and Medical Images." arXiv:2103.05772 (2021). https://pith.science/paper/7YVNAU7U
Claim paper

The compiled record

The paper's own sentences, arranged. Each label is drawn from a closed vocabulary; the number beside it is the probability the classifier gave that label. Numbers in the tables are the authors', checked by code. No sentence in this record was written by a model.

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Compiled by classifier-1.13.0 via TypeSafe API, question bank abstract-p1-20260923, 2026-09-23: 1 request, 3,489 input tokens.

What the abstract itself states, as probabilities: claims first 0.03 · states limitation 0.10 · human participants 0.31 · controlled comparison 0.02 · randomized assignment 0.01 · states quantitative result 0.03 · compares with prior results 0.03 · mentions code or data availability 0.02.

The abstract, sentence by sentence

arXiv listing abstract v1. Results and the main claim are underlined; .

This article is based on the first chapter of book Chung (2013), where brain and medical images are introduced. The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI). A brief introduction to each imaging modality is explained. Further, we explain what kind of curve, volume and surface data that can be extracted from each modality.

background contribution method result interpretation main claim

What the classifier reports for each sentence. The number is the probability it gave the label.
#sentencerolethe authors' own workstates the main conclusionstrength
s0 This article is based on the first chapter of book Chung (2013), where brain and medical images are introduced. background 0.85 0.10 0.03 asserted 0.99
s1 The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI). background 0.99 0.06 0.04 asserted 1.00
s2 A brief introduction to each imaging modality is explained. contribution 0.84 0.48 0.03 asserted 0.95
s3 Further, we explain what kind of curve, volume and surface data that can be extracted from each modality. contribution 0.92 0.59 0.05 asserted 0.91

What kind of paper the classifier reports this is: review 0.99 · evidence from literature 1.00.

What was examined, and what was not

sources read
  • arXiv listing abstract v1
not examined
  • full text
  • figures and tables
  • references and citing sentences
  • relations to other papers
levels run
  • P abstract
not run
  • S sections
  • T body sentences
  • C citations
  • R cross-paper relations

Every quoted sentence on this record is the authors'. Every label is from Pith's closed vocabulary, with the probability shown beside it. Every number in the measurements table is the authors', checked by code. Record as JSON

The paper
Original abstract

This article is based on the first chapter of book Chung (2013), where brain and medical images are introduced. The most widely used brain imaging modalities are magnetic resonance images (MRI), functional-MRI (fMRI) and diffusion tensor images (DTI). A brief introduction to each imaging modality is explained. Further, we explain what kind of curve, volume and surface data that can be extracted from each modality.

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