QSIPrep: an integrative platform for preprocessing and reconstructing diffusion MRI data.
Matthew C CieslakPhilip A CookXiaosong HeFang-Cheng YehThijs DhollanderAzeez AdebimpeGeoffrey K AguirreDanielle S BassettRichard F BetzelJosiane BourqueLaura M CabralChristos DavatzikosJohn A DetreEric A EarlMark A ElliottShreyas FadnavisDamien A FairWill ForanPanagiotis FotiadisEleftherios GaryfallidisBarry GiesbrechtRuben C GurRaquel E GurMax B KelzAnisha KeshavanBart S LarsenBeatriz LunaAllyson P MackeyMichael Peter MilhamDesmond J OathesAnders PerroneAdam R PinesDavid R RoalfAdam Richie-HalfordAriel RokemValerie J SydnorTinashe M TaperaUrsula A TooleyJean M VettelJason D YeatmanScott T GraftonTheodore Daniel SatterthwaitePublished in: Nature methods (2021)
Diffusion-weighted magnetic resonance imaging (dMRI) is the primary method for noninvasively studying the organization of white matter in the human brain. Here we introduce QSIPrep, an integrative software platform for the processing of diffusion images that is compatible with nearly all dMRI sampling schemes. Drawing on a diverse set of software suites to capitalize on their complementary strengths, QSIPrep facilitates the implementation of best practices for processing of diffusion images.
Keyphrases
- contrast enhanced
- diffusion weighted
- magnetic resonance imaging
- white matter
- primary care
- deep learning
- healthcare
- convolutional neural network
- computed tomography
- high throughput
- magnetic resonance
- diffusion weighted imaging
- data analysis
- optical coherence tomography
- electronic health record
- multiple sclerosis
- network analysis
- big data
- artificial intelligence