histo.from.bin {espadon}

Histogram according to a binary

Description

The histo.from.bin function computes the voxels histogram of the selection defined by the binary object sel.bin of a "volume" class object.

Usage

histo.from.bin(vol, sel.bin, breaks = NULL, alias = "", description = NULL)

Arguments

vol

"volume" class object

sel.bin

"volume" class object, of binary modality

breaks

Vector giving the breakpoints between histogram cells. If breaks = NULL, the chosen breakpoints are those used by the hist function by default. If breaks are specified, outside values of vol$vol3D.data are not taken into account.

alias

Character string, $alias of the created object

description

Character string, describing the the created object. If the description = NULL (default value),it will be set to vol$description

Value

Returns a "histo" class object. See histo.vol.

See Also

histo.from.roi, histo.vol, display.histo, display.dV_dx

Examples

# loading of toy-patient objects (decrease dxyz for better result)
step <- 5
patient <- toy.load.patient (modality = c("ct","rtstruct"), roi.name = "", 
                             dxyz = rep (step, 3))
bin.patient <- bin.from.roi (patient$ct[[1]], struct = patient$rtstruct[[1]],
                             roi.name = "patient", verbose = FALSE)
# ct histogram in patient  volume
H <- histo.from.bin (patient$ct[[1]], sel.bin = bin.patient, breaks = NULL, 
                     alias = "patient_hist")
str(H)

## Not run:     
# Skin dose histogram 
patient <- toy.load.patient (modality = c("rtdose", "rtstruct"), roi.name = "", 
                             dxyz = c (2, 2, 2), beam.nb = 3)
D <- patient$rtdose[[1]]
S <- patient$rtstruct[[1]]

# Creation of the skin contour of 3 mm
bin.patient <- bin.from.roi (D, struct = S, roi.name = "patient", 
                             alias = "patient", verbose = FALSE)
inverse.patient <- bin.inversion (bin.patient, alias = "inv (patient)")
expansion <- bin.dilation (inverse.patient, radius = 3, 
                           alias = "inv (patient) + 3")
contour.3mm <- bin.intersection (bin.patient, expansion, 
                                 alias = "contour 3 mm")

# Dose histogram in this volume
H <- histo.from.bin (D, sel.bin = contour.3mm, breaks = NULL, 
                     alias = "Skin dose")
str(H)

## End(Not run)