Enum SeparationAlgorithm 

pub enum SeparationAlgorithm {
    ChiSepIlsqr,
    ChiSepMedi,
    R2starQsm,
    WaveSep,
    Decompose,
    HcChisep,
    SusepNet,
    ChiSepNet,
}

Susceptibility source-separation algorithm (χ+ / χ−).

Variants

ChiSepIlsqr

Shin 2021 projected-CG, QSM-initialized (local field + R2’ + magnitude + QSM).

ChiSepMedi

MEDI-based Gauss-Newton (local field + R2’ + magnitude).

R2starQsm

Closed-form from a QSM + R2* (Dimov 2022; R2* fit from magnitude if absent).

WaveSep

Wavelet-L1 proximal-gradient from a QSM + R2’ (Fang 2023).

Decompose

Signal-domain per-voxel fit from a QSM + multi-echo magnitude (Chen 2021).

HcChisep

Hollow-cylinder fit from a QSM + R2’ + multi-echo magnitude (Wharton & Bowtell).

SusepNet

SUSEP-Net deep-learning separation from QSM + R2’ + local field (requires the onnx feature and the susep-net weights; see crate::models).

ChiSepNet

χ-sepnet (SNU-LIST) deep-learning separation from local field + QSM + R2’ (requires the onnx feature and the chi-sepnet weights; see crate::models).

Implementations

impl SeparationAlgorithm

pub fn orientation_support(&self) -> OrientationSupport

How this method behaves when B0 is not along voxel +z.

The model-based separations carry the direction through their field terms. The rest either consume an already-reconstructed χ map and R2* (so orientation was settled upstream) or are networks trained on axial data.

impl SeparationAlgorithm

pub const VARIANTS: &'static [Self]

pub fn dl_model_id(self) -> Option<&'static str>

Model-registry id for deep-learning variants, else None (classical methods).

Trait Implementations

impl Clone for SeparationAlgorithm

fn clone(&self) -> SeparationAlgorithm

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Copy for SeparationAlgorithm

impl Debug for SeparationAlgorithm

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl PartialEq for SeparationAlgorithm

fn eq(&self, other: &SeparationAlgorithm) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for SeparationAlgorithm

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for SeparationAlgorithm