Surface and volume rendering in three-dimensional imaging: A comparison

渲染(计算机图形) 计算机科学 清晰 可视化 体绘制 优势和劣势 数据科学 人工智能 数据挖掘 计算机图形学(图像) 生物化学 认识论 哲学 化学
作者
Jayaram K. Udupa,Hsiu-Mei Hung,Keh‐Shih Chuang
出处
期刊:Journal of Digital Imaging [Springer Science+Business Media]
卷期号:4 (3): 159-168 被引量:92
标识
DOI:10.1007/bf03168161
摘要

Many surface rendering techniques are currently available for the three-dimensional display of structure data captured by imaging devices. Comparatively fewer volume rendering techniques are also available for the same purpose. The relative performance of these two methodologies in visualization tasks has been a subject of much discussion recently. Although it is very desirable to establish, based on observer studies, objective guidelines stating the relative merits of the two methodologies even for specific situations, it is impossible to conduct meaningful observer studies that take into account the numerousness of the techniques in each methodology, and within each technique, the numerousness of the parameters and their values that control the outcome of the technique. Our aim in this article is to compare the two methodologies purely on a technical basis in an attempt to understand their common weaknesses and disparate strengths. The purpose of this article is twofold--to report a new surface rendering technique and to compare it with two volume rendering techniques reported recently in the literature. The bases of comparison are: ability to portray thin bones; clarity of portrayal of sutures, fractures, fine textures, and gyrations; smoothness of natural ridges and silhouettes; and computational time and storage requirements. We analyze the underlying algorithms to study how they behave under each of these comparative criteria. Our conclusion is that, at the current state of development, the surface method has a slight edge over the volume methods for portrayal of information of the type described above and a significant advantage considering time and storage requirements, for implementations in identical environments.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
吉吉国王完成签到 ,获得积分10
1秒前
2秒前
吕佳完成签到 ,获得积分10
3秒前
科研通AI6.3应助晓淘采纳,获得10
5秒前
蔡从安发布了新的文献求助10
6秒前
xiaowangwang完成签到 ,获得积分10
9秒前
Bin_Liu完成签到,获得积分20
15秒前
Dream完成签到,获得积分0
16秒前
知画春秋完成签到 ,获得积分10
22秒前
23秒前
无极微光应助科研通管家采纳,获得20
23秒前
lucky完成签到 ,获得积分10
23秒前
23秒前
hbpu230701完成签到,获得积分10
30秒前
春春完成签到,获得积分10
34秒前
ok123完成签到 ,获得积分0
43秒前
47秒前
飞翔的梦完成签到,获得积分10
47秒前
9778完成签到,获得积分10
48秒前
9778发布了新的文献求助10
50秒前
Puan发布了新的文献求助30
54秒前
晓淘发布了新的文献求助10
54秒前
Peter完成签到 ,获得积分10
54秒前
正直的雪糕完成签到 ,获得积分10
58秒前
1分钟前
吃饭打肯德基完成签到 ,获得积分10
1分钟前
Lee完成签到 ,获得积分10
1分钟前
晓淘完成签到,获得积分10
1分钟前
深情丸子完成签到 ,获得积分10
1分钟前
1分钟前
旅行者N0501完成签到,获得积分10
1分钟前
yi完成签到,获得积分10
2分钟前
zyjsunye完成签到 ,获得积分10
2分钟前
sc完成签到 ,获得积分10
2分钟前
愉快无心完成签到 ,获得积分10
2分钟前
2分钟前
熊猫完成签到,获得积分10
2分钟前
新帅完成签到,获得积分10
2分钟前
zarahn发布了新的文献求助10
2分钟前
LiChard完成签到 ,获得积分0
2分钟前
高分求助中
Principles of Economics, 11th Edition 10000
Prescott's Microbiology: 2026 Release ISE 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Cronologia da história de Macau 5000
Environmental Leverage in Times of Climate Crisis: Product Standards, Carbon Border Measures and Preferential Trade Agreements 1000
Interactions of Vowel Quality and Prosody in East Slavic 1000
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7166254
求助须知:如何正确求助?哪些是违规求助? 8808882
关于积分的说明 18611842
捐赠科研通 6776645
什么是DOI,文献DOI怎么找? 3165557
关于科研通互助平台的介绍 2305186
邀请新用户注册赠送积分活动 2140256